The job search. I've been hankering to make these vegetarian and kosher faux crab cakes with Lion's Mane mushrooms since I first saw them at Westport Farmers' Market in CT. Madhur Jaffrey will be signing books following the talk. New shops set up business behind foggy windows every few weeks, some run by operators straight from Japan, some by American-born chefs versed in the occult arts of chashu and tonkotsu. Pre-program kick-off:
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Middle Eastern cookbooks are popping up like weeds in my overgrown vegetable garden in August. Start with the authors' unusual background story. They're sisters who call themselves "Jewish-Lebanese-now Amer Tu b'Shvat, this locavore's favorite winter holiday, is coming right up and we're turning to the Bible's set list of ingredients as a guideline for what to eat.
Start planning your feast's dessert by whipp I love to experiment with all varieties of mushrooms, especially in the winter when green markets can be short on enticing ingredients to spark new creations in my kosher kitchen. If you're looking for crispy and flavorful chicken that would be easy to make for a crowd on New Year's Eve or over winter break, throw this one in your oven Here's a bit of warming winter advice if you're chillin' in NYC this season: Forget everything you know and probably don't like about boxed couscous.
Now head over to the west village to warm up in Israeli superstar chef, Einat Admony's intimate restaurant called Kish Kash. You'll find a bright and casua Thank you to all readers who commented, tagged and linked to our give-away this week. You are the best! I loved reading each and every one of your comments. Talk about latke toppings?! You shared your Chanukah traditions, some new flavors and plenty of latke passion.
If you're looking for some great id Are you crazy about tahini, halvah and all of the variations and new creations popping up? Not a tahini-phile yet? Click here for tickets and more information. Join Jackie Topol , MS, RD, Nutritionist, in preparing nourishing dishes that will set you on the right path to achieving your health goals.
Menu may include: Click here for more information and to register. Elevate your Chanukah celebrations after learning to prepare 8 recipes from around the world in this hands-on cooking class taught by Chef Jennifer Abadi at JCC Manhattan. For more deets and to register for class, click here. Click here for more info and to register. Celebrate the bounty of the late summer harvest by learning to can safely with Chef Jen Cinclair.
Sample recipes for simple appetizers utilizing class-made batches of berry jam, herbed tomatoes, and a quick vegetable pickle. Join Middle Eastern food expert, Jennifer Abadi author of Too Good To Passover , as she teaches this hands-on cooking class that will elevate and inspire your picnic outings.
This is a hands-on class in a kosher kitchen. Enjoy the fruits of your labor with your classmates at end of the evening. Buy tix here. Click here for more info and tix. Have you tasted seasonal, artisanal gefilte fish yet?! Passover dishes from the book will be discussed, too.
For more info and to buy tickets click here. Using classic Syrian ingredients such as tamarind, bulgur wheat, sour cherries, allspice, and cinnamon, you will walk away from class understanding why Aleppoan cooking from the Levant is considered among the best Middle Eastern cooking in the world. JCC, Manhattan. Reserve your spot here.
On Your Toes Temple TerraceNYC Delis: Talk and Taste the History.
January 11, 6: Buy tickets here. Doors open at 6 PM. Click here for menu. Laughs begin at 8 PM. Click here for tix. For more information on this exciting menu and to register click here. Click to register. Chef Shaya Klechevsky will teach how to create dishes that may include zucchini keftedes with feta and dill; stuffed grape leaves with bulgur and mint; tzatziki a classic Greek yogurt with cucumbers and dill ; chickpea confit; grilled branzino with ladolemono Greek-style sauce ; red snapper baked in grape leaves; and a date tart.
Learn to make a variety of small dishes in the tradition of Chinese dim sum with Chef Shaya Klechevsky. Menu may include beef edamame shumai dumplings; vegetable egg rolls; roast chicken and shiitake steamed buns; scallion-sesame pancakes; and sweet egg custard tartlets. JCC Manhattan. Summertime is a great time for travel and eating as you go.
Register for group tours or set up your own group here. There will be stops at places that are not strictly kosher. For anyone kosherlikeme, you will have plenty to nosh on. Nosh your way along Sixth Ave. Kosher and vegan choices will be available. Breakout sessions including cooking demos and discussions on the intersection of sustainability and Jewish food values. More info: Whether you want to expand your culinary expertise, experience the pleasure of harvesting your own organic fruits and veggies, unpack the complexities of our global food system, or connect to our ancient food tradition, there is something for everybody at the Hazon Food Conference.
Directions and more here. This anthology of over recipes spans the millennia and the globe with both classics and new riffs on traditions. This remarkable collection takes the reader and home cook from India to France, Italy to Mexico, through the Middle East and North America with historical details, personal histories and mouth watering recipes.
Click here for more info and to purchase tix. Presenters from the USA, Canada, across Europe and Israel will come together to share their knowledge, skills and delicious eats with attendees. For more info and a listing of events click here. Diners are known to travel far to arrive at this charming spot along the Norwalk River. We wait for this all year! To read our review click here.
Vegetarian dinners will be offered each Wednesday eve between January February 22, Be sure to reserve early. Tip for Manhattanites: MetroNorth trains run right into Cannondale, CT. The restaurant is just steps from the charming station. Visit compelling moments of Jewish history in the DP Camps, trace your own roots with JDC, and explore the intertwining of Jewish food and culture today.
Click here for the full schedule and to purchase tix. This elegant vegetarian feast features fall vegetables proudly grown by CT NOFA farmers and cocktails crafted with small batch local spirits and seasonal ingredients. For more info and to register click here. Great to know: Sugar and Olives is a 3 star certified green restaurant! Road Trip: Toronto Nosh Fest Thinking about an Autumn road trip that combines great food, a vibrant city and easy flights in and out?
A portion of online ticket sales will be donated to Shoresh , a Canadian grassroots Jewish environmental organization. For more info and to buy tix click here. Meet the makers of some of the most exquisite chocolates from around the world. Roam, taste and learn from artisans, chefs and pastry makers from Europe, North and South America. There are a wide array of classes and demos to chose from.
These are just a few of the dishes that American Jews in the south have adapted from African American and white communities. The Gefilte Manifesto: For more info. Do you have a bumper crop in your garden? Too much of a good thing in your CSA share? Worried about wasting perfectly delicious summer fruits and veggies?
Canning with Hudson Valley food preservationist, Michaela Hayes. For more info, mouth- watering sample menu and to register click here. Classes are designed to help all levels of cooks explore ideas and flavors through a Jewish food lens. Wednesday, August 3rd , To secure your spot, send check to Kosher Like Me.
Address will be given upon registration. Zucchini Cucumber Gazpacho. Mustard and Tarragon Marinated Chicken. Wheatberry Pilaf. Phyllo Pie with Macerated Peaches and Almonds. Wander about and grab a nosh or 5 from some of our favorites including: Exact address will be given upon ticket purchase. For more on NY Shuk , an artisanal food company that handcrafts pantry staples rooted in Sephardic and Middle Eastern cuisines, click here.
Jennifer Abadi is at it again! Steven Rothfeld , world class photographer, fell in love with the flavors of Israeli food and spent months exploring the vibrant food scene there. For more info and to purchase tix click here. Many of these plant based foods are certified kosher. Check out this mostly vegetarian menu suggested:. Join Liz Alpern, of The Gefilteria , for this hands on cooking class focused on old world dishes with modern twists.
Imagine mastering how to prepare vegetable soup with egg lukshen, butternut squash kugel with crispy shallots, spring fruit compote and lots more. This is a decadent and delicious way to explore some of the best chocolate makers in NYC. Join cookbook author and cooking instructor, Kim Kushner , as she demonstrates her exciting perspective on the new kosher cuisine. There will be ample samples to nosh at this event.
Jewish cuisine is changing rapidly! Meet three cutting edge writers and chefs who are leading the revolution. Michael W. Twitty , Judaic studies teacher, culinary historian with a passion for examining African- American food-ways and Jewish culture. Talk is free but you must reserve your spot.
Click here for more info. Click here for more info and to buy tix for this 92Y event, NYC. Learn history, techniques and nosh a little too, at this talk with Francine Segan and acclaimed pit master, Warren Norstein. An intimate reception with the performers, including Sephardic nibbles , will follow the performance.
Click here for tix and more info. Sample some of these brews and discover mostly local cheeses paired perfectly to compliment them. Join thinkers and doers in the Jewish food movement to explore new angles on food and our changing environment. Learn alongside passionate experts, growers, rabbis, writers and cooks, as you delve deeply into how to positively impact the future of our sustainable food systems.
All meals are included and are kosher. Hazon Food Conference. The Latke Festival benefits The Sylvia Center , a nonprofit dedicated to teaching children and teens how to cook and eat well. From schmaltz-fried rice to Nutella babka bread pudding with maple syrup to classic gefilte fish— the Jewish cuisine of Canada is sizzling. Generous and drool worthy noshes will be served kosher and dairy.
Click here to buy tix. Madhur Jaffrey , veteran food writer 40 years plus! Y ; NYC. Learn more and buy tickets here. Step out this Sunday morning for a multi-sensory experience of film viewing, discussion and you guessed it a deli lunch! Enjoy eating dinner together at end of class. Isaac Bernstein, Chef and Culinary Director at Pomegranate Supermarket , the largest premier kosher market in the USA, will demo, prepare and share tips and tastes from his most popular dishes.
Let us know if you can join us. Hands on vegetarian cooking class with Middle Eastern flavors and ingredients. This farm to table dinner highlights the most creative chefs and producers in Fairfield County, CT. Natural Gournet Institute , 48 West 21 St. Click here for menu and to register.
Like-minded eaters rejoice! A six course tasting menu will be served to guests around a communal table as each course is introduced by the Moss team. For more about Moss Cafe and to reserve your spot click here. Moss Cafe, a farm to table cafe and espresso bar, is strictly kosher. It is located in Riverdale Bronx , NY. Cheese enthusiasts will visit three of the most exciting spots to taste and buy cheese in NYC.
Register through 92Y here. Clinical Herbalist, Tynne, at Catch a Healthy Habit in Fairfield , CT presents a 3-part series that will give you the tools to support your health by making home remedies. Learn to make infused herbal oils, infusions, first aid kits, fermented foods, lozenges and much more. Classes are hands on and there will be hand-outs and samples at each class.
For more info on what will be taught in each session and to register click here. Check the menu pre-pay here. Nosh your way through vendors selling bagels, falafel, pickles, knishes, bialys, all sorts of deli stuff and smoked fish. The Center for Kosher Culinary Arts is hosting a juicy hands-on cooking class for men who love to grill!
Center for Kosher Culinary Arts. Classes are open to all levels and begin on June 29, Students myst be 17 to participate. Find full descriptions and registration info. Classes will be held at the Ramaz School dairy and meat kitchens East 85th St. A limited number of tix will be sold and this event sells out.
Book signing and tasting will follow panel discussion. Enjoy a delicious and locally grown vegetarian meal as Chef shares the secrets to cooking healthy grains like farro and quinoa. Have you always wanted to learn to bake this old world classic? Learn how to make this yeasty dough and fillings, plus more. Bring warm, fresh babke home and wow your family and friends.
After making tofu with organic soybeans, participates will prepare dishes that may include:. Natural Gourmet Institute ,. The first ever vegetarian food rave is happening in CT this weekend! Anyone up for attending with me? Complimentary noshes, drinks and music by Lisa Gutkin of the Klezmatics. The Philly Farm and Food Fest has blossomed into a tremendous resource intended to connect farmers, food producers and consumers.
Attendees will have the opportunity to taste hundreds of delicious samples of local food plenty of veg friendly items and find new ways to buy, cook, grow and share local food every day! Read more here. Click here for full descriptions and ticket purchases. What makes this champagne different from all the others? Learn all about it and taste with Oumy Diaw , the first and only official Champagne Sommelier.
This is a kosher friendly event with fish and vegetarian options galore. Vino Levantino is not a kosher resto. NOFA Conference from 8: Panels , speakers and vendors will address issues of sustainability, backyard gardening, green food production and more. Great food vendors will be offering lunch and snacks, with plenty of vegetarian options. Click here for more information and directions.
Chabad of Westport, CT. Share with family and friends as you explore a variety of scrumptious fillings. Demo and inspiration by Sarah Lasry , cookbook author and blogger at www. RSVP is required. Bagels with a smear, smoked fish and sweets will be served, of course! This event sells out quickly so buy your tix in advance. To read more about why we love these Wednesday night vegetarian feasts , check out what we wrote here.
To reserve your spot, click here. Click here for more details and to register. The Candle Cafe, Candle 79 and Candle West team, NYC, will present a cooking demo with tips and tastes from their 20 plus years of creating vegan dishes to loyal customers. Celebrating seasonal produce, local growers, family traditions and plant based meals has been their consistent mantra.
To read more about why we love Candle, click here. Pop-Up Shabbat Dinner: The DarJewling Ltd. Chef Anna Roy will be at the stove, preparing a flavorful and aromatic dinner of steaming rice, dal and much more. Gin based cocktails infused with the spirit of the tea and spice markets are on the menu.
Expect to fall in love with the sounds of North India as Eric Fraser and his trio fill the room with tunes on the classical bansuri flute and tabla. Brooklyn, NY. Jennifer Abadi , author of A Fistful of Lentils, will show you how to maintain the spirit and tradition of Hanukkah with her fresh, modern take on conventional recipes using lighter, healthier ingredients.
Here are some of the delicious dishes you will make with this Sephardic and Middle Eastern food expert:. Learn more and register by clicking here. Buy here. Click here for more info and to buy tix. Click here for tix and venue deets. Jennifer Abadi , Syrian food expert and cookbook author, will be teaching a hands on cooking class with six dishes you will want to add to your tool box for those Meatless Mondays.
Warm brisket tacos with salsa verde or guava and cream cheese on matzah? Where do these ideas come from? Jayne Cohen , cookbook author, will be speaking with: For more info and to purchase tickets click here. After months of recipe testing, more than 20 teams will finally fire up their individual grills to smoke brisket, chili, chicken and ribs.
Come taste and vote! This is a family event with plenty of fun for the kiddos. While the blind judging happens behind closed kiddush room doors, celebrity judges will be there to taste and shmooze with the crowd. You never know who you may meet! All salads and dips in this class are meant to be paired with your handmade pita pockets. Click here to learn more and to register.
Click here to purchase. Click here for more deets and entry form. Best part other than a load of delicious kosher eats? Arrive hungry! Plan an outing around picking your own strawberries! Click here to find a patch to pick in at a nearby farm. Click here to check out their tantalizing schedule of classes for enthusiastic home cooks of all levels.
Yes , a nosh will be served. Click here to learn more and to buy tickets. Recipes included. Like-minded eaters: Join an esteemed group of chefs as they honor this weekly tradition with a meat-free menu of glorious dishes. Check out this all-star chef line-up! Meatless Monday 10 Year Celebration. Click here for menu and tix. These stories, as well as sweet and savory recipes reflecting the way modern Parisians eat today, are collected in his new book, My Paris Kitchen.
Ready to stop burning meals and learn the basics? This five week intensive begins on April 29 and meets on the next four Tuesday nights. K, Upstairs from Happy Home Housewares. Brooklyn, NY By then, you may be up for a little adventure away from your own kitchen, I know…. Click HERE for more info and to purchase tix.
Plenty of vegetarian options will be available. Learn how to assemble a Seder plate and what the edibles symbols mean while General Manager, Beth Lieberman, walks you through the best kosher wine choices for the occasion. Chef David Mawhinney will spark your creativity with hands on demos teaching how to make barbecued brisket, a new riff on haroset and a tempting yes bitter herb salad.
Other side dishes and plenty of tasting are a sure thing. While this is not a kosher facility, the brisket will be kosher and there will be multiple vegetarian side dishes to prepare and taste. Just Food Conference April , Includes all day intensives and discussions providing attendees a wide range of opportunities to learn more about:.
Click here for the full schedule and to buy tickets. City Winery presents the Annual Downtown Seder. Kosher and Vegetarian meals may be ordered 48 hours in advance. Jewish Cuisine Through the Ages. Opening remarks by Joan Nathan. Keynote speaker: Sara Esther Crispe.
Now stretch your imagination a lot further! Twenty exhibitors and vendors, including organic farmers, homesteading experts, artisan food producers, specialty food retailers, and organic restaurants, will share their products and expertise at Audubon Greenwich.
Lunch and nibbles will be offered by local artisan food producers and restaurants. Click here to buy admission and tasting session tix. Click here to learn more and to purchase. Wednesday, February 19th at 7: Click here for more info and to reserve your spot. Click here for more info and to purchase your tix. The Food Film Festival screens award winning independent documentaries, features and short films that highlight the most memorable foods.
For a multi sensory and unique experience, the food being watched will be served to the audience. Click here for submission guidelines and deets. Explore Passover themes while enjoying plenty of fruits and vegetables at the beautiful Nosara Retreat Center in Costa Rica. Register early. Click here for deets and more information.
Are you up for a dining adventure with new friends and expert hosts in their Brooklyn home? There will be plenty of veg friendly choices in this multi-course meal. Hand rolled cous cous? Click here to learn more about hosts, Leetal and Ron Arazi. Click here for more deets on this event and to register.
Wine pairings are available, too. Reserve early. The Schoolhouse is only offering these Vegetarian Wednesdays in January. Click here for more info and to reserve. Add fresh salads and whole grain breads straight from the oven. Click EatWith to learn more. Plenty of great Kosher wines will be available along with tasty vegetarian nibbles.
Click here to read how much I loved attending the Hazon Food Conference in There will be candle lighting and plenty of song, for sure. Click on CT Food Bank for more info or click here to make your donation. On the menu: This class is great for teens and their Moms or party throwers looking for a new dessert. City Grit is at it again! Click here to read more about my experience there a few weeks ago.
Come to the class ready to eat an array of delicious organic vegan food and take home all recipes. All recipes will be vegan and gluten free. Kosher keepers: Join food historian and chocolate expert Alexandra Leaf for an over-the-top, five stop tasting tour of all things chocolate. Presented by 92Y, NYC.
Buy tix by clicking here. Cookbook author, restauranteur and culinary star, Yotam Ottolenghi joins partner and co-author Sami Tamimi in conversation about their new book, Ottolenghi, the Cookbook. Join food writers and Israeli food experts: Tastings and conversation are sure to thrill. Lexington at 92nd St. Lexington Avenue at 92nd St. To learn more and register, click here.
The Natural Gourmet Institute , NYC, is offering a demo and cooking class that explores the many possibilities of tofu. Begin by preparing homemade tofu and taste its superior nutty flavor. Learn more and register here. Luscious dishes like Matbucha and Tanzeya will follow cocktails and canapes that kick off the celebration in the teaching kitchen.
Move upstairs to the event space and join a party of 30 lucky guests. Click here for more info and to reserve your seats. Hurry, as these tickets will go fast! This farm style family supper includes four Jones Family Farm wines paired with each course. Guests can connect with amazing hosts, share stories and unforgettable experiences, and enjoy delicious homemade cuisine.
Click here to sign up and learn more. Did you know that wine is being made in CT?? There are 25 wineries on the CT Wine Trail! Dine in the field yes, there are tables and chairs and share the pleasure of eating fabulous dishes using ingredients that were picked earlier that day. Communal tables encourage making new friends.
Wine is included. It is truly unforgettable! Want to cook seasonal,mouthwatering dishes with ripe local fruits and crisp veggies and herbs? Whip up multiple dishes using greenmarket ingredients with Chef Irene Yager. Register here for class. Register here. Manhattan will be buzzing with an array of events , too!
Click here to see the list. Learn quick and easy techniques for preparing a variety of fish dishes for your summer dinners. Among the recipes learned in this hands on class: JCC in Manhattan kosher kitchen. Those are merely hints. Reserve in advance by clicking here. This one is perfect for vegetarians and anyone KLM! Many ingredients will be harvested from the farm. Click HERE to see menu and to register.
This will sell out quickly. See you there! Mark your calendars and buy tix early! Two eves being offered: Moms and kids of all ages welcome! Click HERE to register or for more info. Happy Day! Have you heard? Hints about participating restaurants and chefs will be dropped periodically on twitter Dishcrawlgre.
Register by clicking Dishcrawl. This film takes viewers inside the lives of three people struggling with hunger in America. The film is rated PG. Join guest chefs and educators to explore the connection between food and Torah through text study, farm tours, cooking demos, permaculture workshops and lively Shabbat services.
All kosher meals are included and are from ethically sourced, farm fresh ingredients. Presenters include cookbook author, restauranteur and teacher, Levana Kirshenbaum , and Michael Solomonov , James Beard Foundation award winning chef and owner of Zahav and Citron and Rose , Philadelphia.
Click here for more info and registration. Click here for more information and tickets. Kosher Like Me? Not a problem. Friday, April 19th at 7: I was applying to data analyst and data scientist jobs, but I only received rejections. So I started looking at the job descriptions, to see what skills they required. So I decided to make an investment in myself. I talked to a couple of alumni, and they sounded so excited about the bootcamp, and said it was really good.
I graduated July 1, and got a job in October. I found that I really liked playing with data and coming up with insights from numbers. So I started looking at data analysis, and data visualization. When I look at a data set, I get so excited about it, and what insights will it give to me.
In the projects I did, I found really exciting insights from my data. Did you try to learn on your own before you thought about a data science bootcamp? What types of resources did you use? I took some courses from Coursera, but never face-to-face. And I had some basic statistics knowledge, but not that much.
When I moved here, I had a car in Turkey, so I sold it. I invested the car money into this bootcamp. There was an online application, which asks about your background, and your work experience, plus two coding questions at the end. I interviewed with Janet and an instructor. What was the coding challenge like?
What did you have to do and how hard was it? It was two basic Python questions about palindromes. It had a medium-level difficulty. I had to search a little bit, read about it in some forums, and then I tried to come up with a solution. Was your class diverse in terms of gender, race, age, life, and career backgrounds? We were 20 people and it was a good mix of men and women.
Some of them were managers as I have a friend who is a manager at PWC. One guy was in his 50s and had a son who was our age. It was really great having so many people from all different backgrounds. We could easily ask each other questions, about projects and homework.
We were like one huge group that worked together all the time. Is that something that was important to you? Did you want to learn alongside people with STEM backgrounds? I learned a lot from the curriculum, my instructors, and TAs, but I also learned a lot from my cohort mates. Some had Ph. I knew some computer science, but I improved my skills a lot with the help of my cohort mates.
What was the learning experience like at your bootcamp — a typical day and teaching style? When I arrived, before the actual bootcamp started, they put me into an introductory Python class for four weeks, two days a week. So when the bootcamp started it was really nice, because they started from scratch.
You know what programming is, but we began with the basics. For example we started with R, we learned how to create variables, write syntax, and other basic stuff. It then steps up really fast, and you have a lot of homework to practice and improve your skills. On a typical day, the lectures usually start at 9: In the morning there is a three-hour lecture until Then we have a lunch break.
We mostly eat with our cohort, and talk about nondata science stuff. Usually in the afternoon, there are homework reviews, coding reviews, or some introductions to different tools to use for our projects, which are useful. You can stay on campus as long as you want, and you can come in anytime you want. I was, however, the first person in, and the last person out most of the time.
At the end of the bootcamp, most of us stayed there til 7pm or 8pm, but it really depends. There were also sometimes guest speakers from the industry, which was really cool. Usually the day ends at 4pm or 5pm. We had an instructor teaching R, machine learning, and statistics who has a really powerful background.
Another instructor was teaching Python, and machine learning in Python. We also had three or four TAs. So there were a lot of people to turn to whom we could ask questions. They were super helpful. We worked on a Kaggle competition with a group of three. It was an open Kaggle competition, so every day there were neo-calls and neo improvements, but we got 30th place.
It was about predicting demand from historical sales data. It was a nice project and really business-like. It was for a Mexican bakery company, and was a really common business problem, about reducing the amount of leftovers. It was really nice to see that machine learning can be applied to real business problems like this.
But the problems are real, the size of data sets are real, only the numbers are simulated. One cool thing about Kaggle is there are some really experienced data scientists competing, so even by reading the forums and looking at their solutions, you can learn so much.
How did the bootcamp prepare you for job hunting interviews, hiring events, whiteboarding? Vivian, Founder and CTO of NYCDSA, and two other people on the job hunting team, are helping students a lot, they are continuously watching your application process, and looking in their networks to see if they know people at the companies you are applying to. They are not magicians but they are doing their job really well.
For now, I mainly build tools to help other departments. I think in the future there will be a lot of new stuff. The tools are mostly visualizations for other departments if they have to prove something. So if you have to prove something to someone, you have to come up with data, or visualizations. Some of it is to simplify their workload. Then I had an onsite interview which took about half an hour, and I talked about my projects and my MBA.
They asked a lot of questions about my projects. I also took some programming classes in my engineering background, and some basic statistics. So I had to catch up with work and homework, doing the projects. It was the most challenging thing for me just to keep up with everyone, because you also have to get some sleep and take care of yourself.
You have to really dedicate three months of your life just to this, and nothing else. I was still able to do rehearsals and play shows with my band, so that was my only social stuff. We have an album on Spotify. You have to have something to clear your mind from your huge workload.
We have a Slack channel for all of our alumni. We are going to alumni events, and we are also organizing reunions among ourselves. We talk to each other all the time. It was only 20 people, so we still keep in touch, meet, catch up, have some drinks. What advice do you have for people making a career change through a data science bootcamp?
If you are doing a career change like me, you really have to make sure your resume and LinkedIn are polished, because if you are applying online, they are the only things that represent you. These things have to be really solid, and they have to show you can do data science. Vivian is helping a lot in that process! We also post all of our projects online in a blog like a portfolio.
You can see my portfolio here. Welcome to the September Course Report monthly coding bootcamp news roundup! Each month, we look at all the happenings from the coding bootcamp world from new bootcamps to big fundraising announcements, to interesting trends. Of course, we cover our Outcomes and Demographics Report we spent a ton of time on this one and hope everyone gets a chance to read it!
Other trends include growth of the industry, increasing diversity in tech through bootcamps , plus news about successful bootcamp alumni, and new schools and campuses. He had always loved tech and keeping up with the latest tech trends, so he researched coding bootcamps.
He tells us why he chose NYC Data Science Academy over other data science bootcamps, how dedicated his instructors were, and about his Donald Trump web scraper project! I graduated with a bachelor's in biomedical engineering. So I turned to technology because I knew I liked it. I was also interested in math and worked for a while as a tutor for high school math and standardized tests like the ACTs and SATs.
Then I realized, what better way to combine technology and math, than with data science! I did research for two years in a biomedical engineering lab. I looked at Galvanize and a few others in the northeast. I wanted to stay local. When looking at other schools, it looked like NYC Data Science Academy was a little more personalized, and I liked how they scheduled their curriculum.
Possibly, but bootcamps are a lot faster, and they get you work experience which is what I feel is very important. Going back to school would take longer, and I already had a degree. I was actually looking at masters degrees if anything, but I thought a bootcamp was the best way to get experience and get into a new career.
During bootcamp, I was also tutoring 15 hours every weekend so that helped pay for it. There were about 22 people. I think it was diverse. Even though we had more guys, about a quarter were females. People came from different backgrounds, there were some people coming out of academia with PhDs, and some people who had work experience. Most people had a masters and work experience, and were looking for a change in career.
Was it unusual for you to have a bachelor's and not a master's or PhD? There were four or five of us with bachelor's degrees. There was an online application with one or two coding challenges at the end. We could use any coding language, I think I stuck with Python because I had experience with that at the time.
And then we had a phone screening interview, where I could ask questions, they could ask me questions, and get to know me. I was nervous throughout the whole process because the bootcamp was something I really wanted. Not exactly difficult. I had done previous problems like that, using online resources. What was the learning experience like at your bootcamp — typical day and teaching style?
A typical day started at 9: Usually people would go to grab food and come back to do work and ask questions while they ate. The afternoon was for homework review, help with projects, and sometimes there were extra learning sessions, like workshops, with topics that would be useful. Some of us stayed until 11pm or 12am.
The instructors are also there up until 10pm or 11pm, so they are really helpful. That was something I really liked and was one of the reasons I think I made the right choice going there. My favorite would have to be the data visualization projects and the web scraping. Web scraping was interesting because it made you think, how could you write a script to pull data off a web page?
So that was a helpful project to learn how to tackle those problems later on. I also analyzed and looked at who he tweeted at the most, which I found were social media personalities and media outlets. Looking at the number of retweets and likes, you could tell that before he started to run he around 50 for each tweet, but a year later he is getting a couple of thousand likes and retweets for every single tweet.
This was the first project and the topic was regarding water quality in NYC. It was interesting to see the number of water complaints and the type of complaints in each borough. I drink water straight from the tap, so I like to know where I should be careful about drinking unfiltered water. I remember Staten Island had the least number of complaints, however, they also have a smaller population.
Besides the knowledge and education, they have a hiring party in the second to last week of bootcamp. Then after the bootcamp, the school opened up an extra room where grads could come and continue to learn and ask questions. The job placement manager also held mock interviews to make sure we were prepared and I found that really useful. They also helped refer us to potential employers.
Once we do that, we can cater our products to the customers a lot better, and also improve the customer experience. I interact more with the IT department for now, but I do report directly to my manager in marketing, and she reports directly to the CMO chief marketing officer. For the first two weeks, I was meeting everyone in the marketing department.
We are just starting this, so it feels like a startup environment in an established company. I like that. I talked to my manager at the end of hiring party. A couple of weeks later, I followed up, and my hiring manager set up a phone interview with me — she was in Ohio. I got called back for more video interviews with a director in IT, two marketing managers, and the CMO.
After that, I got good news, and I moved to Cincinnati, Ohio. I actually just started using them because I finally got my hands on some of the data. This is actually the job I was looking for. I wanted to do marketing, because it was interesting. Have you kept in touch with other alumni?
We also still stay in contact in our cohort Slack group. Some of them stayed to help until 9pm or 10 pm. Having flexible access to the building was great because we could always come and study if we wanted and I think that was really useful. You have to actually stay on top of it every single day. What advice do you have for people who are thinking about doing a data science bootcamp?
The projects are very very important. The fact that we do five projects gives you a lot of opportunities to showcase different skills. Wendy tells us why she wanted to learn both R and Python, how much she enjoyed learning with her main instructor, and how NYC Data Science Academy was instrumental in helping her get her new job. When I graduated, I got a job at a private research lab studying olfaction, the human sense of smell.
While I was at that job, even though it was biology, I used machine learning algorithms to make predictions on whether a compound will have a smell or not. So that was my first exposure to data science. Can you tell me about it? My study was to define the space of smells. So for example, for colors, we know there are three primary colors, red, blue and yellow, and if you mix them you can create all the colors in the world.
I was looking for what makes a compound smell, and the reason behind it. At my last job, I was practicing machine learning on my own. So the main reason for me to go to a bootcamp was to understand the statistics that go into an algorithm. Machine learning is a technique that I can apply to different fields, so another reason I went to bootcamp was to open up my job options.
My boss at my old job sent me to a few workshops, and I also learned from him along with teaching myself. So before I joined the bootcamp, I had been practicing for two to three years. Yet, I needed the hands-on experience. There are two reasons. First, I really liked their syllabus because it is more thorough than other bootcamps in NYC.
I had been using R for many years and I think R is pretty important, so I wanted a bootcamp that would teach both R and Python. A lot of NYC bootcamps just focus on Python. The second reason was the opportunity to do four or five projects throughout the bootcamp. Other bootcamps I researched had fewer projects.
Data science bootcamps are quick, relatively cheaper, and teach all the skills that you need. The amount of time you put in is equivalent to a whole semester. I paid out of pocket because I could afford it. A few bootcamps I looked at, like Galvanize, do have scholarships. The first step is an online application.
Then NYCDSA gives you a coding challenge where you can use whichever programming language you want to answer the questions. For the onsite interview, they asked about my background, and my goals after bootcamp. Out of 20 people, we had four girls, so not too bad. It was pretty diverse where half were white, about a quarter Asian, and a quarter other races.
Our cohort was a really smart group of people. About a third of them had a PhD and had just finished school. Another third were probably in their 40s or 50s, and already had pretty successful careers. The last third of the group were people like me with Masters degrees. Plus, there were two people fresh out of college.
The majority of people had a graduate degree and a few years of work experience. Our main instructor is responsible for teaching machine learning, statistics, and the coding in R. He is very knowledgeable and had plenty of work experience before he came here. He was an actual data scientist, and his educational background is very heavy in statistics.
Then we had another instructor who was responsible for coding in Python; his background is a PhD in math. The last instructor taught Hadoop and Spark, the big data tools. He is a bit older and worked at Google for about 10 years. So the bootcamp starts at 9am every morning. From 9am to 12pm, we have a lesson, with one break.
The course is pretty intense and interactive. For the teaching style, every instructor is slightly different. We spent most of our time with Chris and he makes everything pretty fun, the way he teaches us. If we have questions, he encourages us to just ask when it comes to mind as opposed to waiting until the end of class.
For every lesson we have homework, and then we have four TAs to help us review the code. Sometimes, we have guest speakers from the industry to help us prepare for our career. Every student is different. In the afternoon, our homework reviews generally went until 4pm or 5pm. A lot of students would stay and work on homework or projects as the TAs stay until 9pm or 10pm.
So you could spend an entire day or 16 hours there, and some students do. I usually went home after homework reviews because I would get tired and I need a break. So we had a few different projects. The first project was data visualization, which was really fun. All the data I plotted in my last job was static, but during the data visualization project, we learned how to use Shiny, which is an interactive app you can use to build interactive graphs.
The other project I really liked was the web scraping project, which was in Python. It was great for boosting my Python skills! With web scraping, you can pretty much scrape any website you want. It can be hard to find good data sets, and hard to validate the source. But with web scraping you create the data set, so you know the data is good and the structure is what you want.
So I did a web scraping project to see if I were to buy a house in NYC, where should I buy it, if I want to rent it out as an investment. It was down to a few different boroughs, but I think the top area was somewhere near Williamsburg in Brooklyn. The entire bootcamp is 12 weeks, and we started the career help in week 8. We had a resume coach look at our resumes and help fix them, then we also learned how to fix our Linkedin profiles.
We had a workshop on interview techniques- how to dress and how to speak. In the last two weeks, potential employers came in to interview us. Lastly, we had the hiring party where we spent three hours meeting potential employers. We met around 25 employers. The hiring party is very effective because all the employers who came out are obviously looking for data scientists.
We are a music company; we handle the performance rights of songs, and we represent the songwriters and publishers. So for example, you write a song, and then when your song gets played you need to get paid, so we are the middle man between you and how you get paid.
So think you and the radio station, or you and the TV. We will represent your rights and if someone wants to play your song, we charge a fee, then we give you your money. The bootcamp sent our resumes out to potential employers to contact us before the hiring event. The bootcamp ended April 1st, and I started interviewing about a week before that.
The interview process was quick because I received the offer a week after the bootcamp, then started May 1st. We have a few different projects going on. So for example, say you want to predict the trends for the song Hello by Adele. My team is still growing but we are pretty well rounded. And I can report the insights I find directly to my manager and to all the senior management, so my voice is heard in the company.
My day to day job is pretty much data analysis and machine learning all day long, so I use both R and Python as well as Spark. Since you spend eight hours a day with all the students, you become friends. And since our instructors were really nice to us, I still go back and visit every now and then. Everyone becomes this family within your cohort so people still stay in touch and occasionally get dinner together.
The biggest challenge for me was time management because we had a lot of homework and projects were due every two and a half weeks. Two things. First, I encourage everybody to apply early, because after you get accepted, you can spend that time before the bootcamp to start improving your skills.
The second thing is, trust the system. His company agreed to let him take a sabbatical and enroll in NYC Data Science Academy , with the aim to make his skills even more valuable to the business. I consult for different industries - primarily financial services but also airlines, hotels, pharmaceuticals, automotives - but always around IT and usually IT infrastructure.
In the world of consulting, every project is different, but to give you an idea - in one project, I worked with a company to assess their current state of technology in terms of compute, storage, network, etc, and helped define their vision for the next years.
Do you have a CS degree? What type of education do you need in order to get that job? Over the course of my consulting years, I didn't really do much coding per se, because I was more of a strategist in technology consulting, not a developer. After taking stock of everything I've done so far - I realized that's the piece I enjoy the most.
After talking with friends in Silicon Valley who went into data science, it confirmed that the combination of programming, math, data visualization and communication to end users is my passion and my forte. Did you research other data science bootcamps? Like any good consultant, I did my due diligence! I also talked to some of my data science acquaintances to get their perspectives on these data science bootcamps.
Instead, you approached your company about taking a sabbatical- what was their reaction when you pitched it to them? In a nutshell, overwhelmingly positive. I've been working for PWC for quite a while, and I have developed great relationships. I am tremendously appreciative of all the mentors in the company who support my career decisions and development.
I'm planning on returning to PWC after graduating from the NYC Data Science Academy, where I have the flexibility to reorient myself within the company into different groups or even help develop a practice using these data science skills that I am acquiring. PWC definitely sees the value of these data science skill sets. It was a no-brainer for me to ask my management, and it was a quick decision for them to agree.
Does your company offer education benefits? Did they actually pay for the bootcamp tuition? PWC is huge on personal development. In consulting, the people are the product, so the skill sets and experience of the consultants is what our clients are paying for.
PWC is huge on providing learning and development- both internal and external. And beyond that, there's actually a budget devoted for each employee to invest in learning that may only have a tangential relationship with your current position. Did you have to learn any Python or R in order to do the coding challenge? There were two coding exercises, which I found relatively simple, but that simplicity depends on your background.
Having had some level of programming education or experience definitely helps, but it didn't have to be in Python or R. The point of the bootcamp is to teach you skills that you don't know in a really short and aggressive timeframe. I am the only management technology consultant. Folks come from academia, research, some just graduated, math PhDs, architecture, law, etc.
Data Science as a field probably skews a bit male, but we do have quite a few women in my class. Personally, my biggest challenge is in statistics. Even though I was rusty in coding, I can pick up computer science concepts and languages pretty quickly.
My strong suit is in data visualization and storytelling; the actual analytical process of sifting through data to reach findings and presenting them clearly and succinctly. That's only my personal story, though. All the people here have such different backgrounds;some might be familiar with statistics but face challenges learning R or Python, and vice versa.
Is it working for you? It is definitely working for me. I need an aggressive timeframe and the fact that a bootcamp is able to condense so much into such a short timeframe, but still do a really good job of covering theory to practice, is honestly phenomenal. If you're in a career-oriented mindset, bootcamps are the way to go.
If you have the leeway, flexibility and the luxury to be a student for a couple of years, then university may be a good option for you. It's an awesome mix of lectures and projects. The structure of the bootcamp is one of the things I like most about being here. We always have a couple of hours of lectures in the morning.
In the early afternoon we usually have homework review followed by either guest lecturers or project presentations and the rest of the time we work on homework, projects, Kaggle competitions, third party vendor and recruiter visits, and resume reviews. All of that mixes together so that you don't get bored or feel overwhelmed by one specific topic.
It keeps things fresh. On the flipside, you need to learn how to juggle. All of our projects thus far have been based on our own ideas. The choice and selection of the project is up to you, but so are all the downstream impacts, challenges, delays, etc. That approach is great, because you're more likely to be invested in the actual topic of your project if you choose it yourself.
The teachers want everyone to use the same dataset with the same objective to assess where everyone is halfway through the program. My favorite project was a Shiny web-based application because I like the visualization aspect of it. Shiny is a web-based application development framework. In our case, we tied it to R, and essentially from R we could create visualizations that are easily transposed into a web-based application.
I chose to analyze World University rankings. I studied in France in this system that is quite prestigious but that most have not heard of outside of France. Kaggle actually had past datasets from world university rankings so I visualized the rankings of all the universities in the world by these three organizations. A user can play around and visualize by country, by university, and more importantly compare how different ranking organizations tend to rank drastically differently.
Since you already have a job, are you planning to skip the job prep section of the course? For example, the code review sessions i. What are your plans after you return to PWC? Will you move into a pure data science role, or use your new programming skills and machine learning and data visualization in your current role?
Figuring that out is on my to-do list! So far I have had conversations, done some research and discussed with colleagues at PWC. There are several teams where I could use these skill sets but figuring out precisely which one is still up in the air! But Aravind wanted to strengthen his programming and machine learning skills, so he considered his options and chose NYC Data Science Academy to take his skillset to the next level.
Bootcamps offer an intense curriculum, but at the same time, are shorter than traditional options. I already have a background in statistics and have been working for an investment firm as an analyst. I could have continued as an analyst, but data science is a skillset that is designed to solve real world problems using data driven methods.
It requires a strong understanding and domain knowledge of programming and statistics, and that was my goal. One you decided that you wanted to learn those programming and machine learning skills, how did you research your options? First, I could use online courses. The content in machine learning courses on Coursera is very good, but it can take over 8 months to complete a set of courses.
So I decided that a bootcamp was the best option. I had applied for the first cohort, but it started in early and I decided to postpone it for work commitments. I looked at both The Data Incubator and Metis. I looked at the coursework at Metis, but they primarily teach Python, and I wanted to learn both R and Python.
I chose the Data Science Academy because of the variety of coursework they offer. We used both R and Python in great detail. I feel that R, for example, may be a great data visualization tool, while Python could be used for analytics and machine learning. At the same time, the latest machine learning packages in R have been promising.
Getting exposed to both R and Python was appealing. At NYC Data Science Academy, were you satisfied with the emphasis on those programming and machine learning skills that you wanted to learn? There was plenty of material in the curriculum, but we also had a lot of coding sessions where we could sharpen our coding skills.
If you really want to become a better programmer, then there is a lot of work that you have to do on your own. We worked on five projects throughout the camp. We had to complete projects and do presentations, then start on the next project immediately. We were always able to complete those projects in the designated amount of time, but it was very intense.
The projects that we worked on for data visualization were individual projects. My capstone project involved the classification of musical scales. Earlier studies show that songs in different genres can be classified based on signal information. We used classification algorithms to decide whether a particular scale is rock, hip hop, etc. Or even more specifically, the mood of the music.
We fed the computer existing data with what we know about raga, then built a system that automatically classifies music. Companies like Soundhound do a lot of this fingerprinting, which involves a lot of machine learning and digital signal processing. My Python project was to build a web scraper to collect and analyse rental listings on Streeteasy.
Our primary instructor was Christopher, who came from a statistics background. I thought he did an excellent job teaching and communicating each of the algorithms and statistical concepts. He was clear, concise, and effective. You have a Masters degree in Statistics and have been working with Statistics for the last few years- do you feel like you still learned a lot from Christopher?
Even the way Christopher approached simple concepts was interesting. Often with stats, people approach a problem without understanding the conceptual underpinnings behind a particular idea. Chris was able to explain both the mathematical concepts and the conceptual underpinnings. Did the rest of your cohort have the same background as you? Were there people with different levels of education?
One thing I learned is that at a bootcamp, everyone comes from varied backgrounds. Some even had math and physics PhDs- and among those PhDs, some had a theoretical background, while others had programming experience. Those with a computer science background had a small advantage because they had less catch up to do for programming prework.
Everyone had an area that they wanted to improve on. During the bootcamp, a bout of flu went around! I had to miss a couple of classes, and then quickly complete a project and present it. Chris made the lessons that I missed available on video. All of those things helped me bounce back and complete two projects really quickly. I am with the Asian Markets strategy group that tries to use both qualitative and quantitative strategies for Indian and Chinese Equities.
My idea is to contribute to quantitative groups at the company in a better way through machine learning and automation of processes. Plus, my supervisor also feels like those quantitative skills are helping the group. One of the things I have to mention is that Vivian is doing a great job keeping the best aspects of each cohort, and at the same time making sure that each cohort is better than the one before.
I was surprised at the extent to which Vivian valued my opinion as a graduate. They would get experience with theory and thesis defense, which would give them a better grasp on the subject matter. At the end of the day, you cannot become a data scientist in 12 weeks, so you should learn the most relevant and important concepts. The most important thing is to keep learning after the bootcamp is over.
She loves breakfast tacos and spending time getting to know bootcamp alumni and founders all over the world. See our most recent recommendations for summer coding bootcamps here! Although he had studied math, engineering and physics at college, he felt he needed more specific practical skills in Python and R in order to move his career in data science forward.
He started in October , and talks to us about strengthening his data science skillset, and how learning online with NYC Data Science Academy is already making him a better employee! My educational background is in electrical engineering. In my previous two jobs, I was a data scientist but I felt I needed to brush up more on my skills in order to succeed.
What drove you to do a bootcamp style program? After college I did start interviewing for data science positions. But I felt like my skill level was not up to the degree needed to succeed at big companies like Facebook or LinkedIn, because my background is in electrical engineering, not computer science.
My software development and programming skills were not as proficient as someone who is a computer scientist. Over the last three years I picked up R and Python, but I was not very good. So I thought NYCDSA would help me brush up those skills, improve my understanding of these wonderful machine learning algorithms, and help me implement them practically in a work environment.
I heard they had a more rigorous curriculum in Python and R than other data science bootcamps. It would be too expensive. Did you have to be convinced of the bootcamp model or the online bootcamp model, because you had done so much traditional education? I know I have a strong background in math, engineering and physics, but I felt I was lacking practical skills.
We started with R, then moved on to Python. For beginners who are not totally sure, what is the difference between R and Python? R is a great statistical computing package that a lot of statisticians use. Python is more of a programming language used for a wide variety of purposes like web development. But Python is catching up very quickly because people have developed modules that implement a lot of the same stuff that R implements.
A lot of companies use Python. R is also a little more complex to learn than Python. I think both have their uses. She always gives me encouraging news about students or hiring companies coming to NYC Data Science to interview students, and tells me about students getting jobs at various companies.
Hiring companies are invited to come meet students towards the end of the program, and she is encouraging me to go out to New York City to be present at hiring events. She also sent my resumes out to hiring partners such as BlackRock. I just started the interview procedure. They record all the lectures and put them online for me to view them.
They also put all the lecture notes and lecture slides on the website. I meticulously listen to the videos, and go through the slides, to make sure I understand everything. There are also homework and projects you have to complete. He reviews my homework and when I have finished a project, we have a Google hangout where he goes through it, suggests improvements then grades it.
If I have any questions, I can call him anytime and he will give me the answer. Do you get to talk to other people in the class ever or other people doing the online course? The main instructor, who is very good, is Chris. When he lectures, he gives very good explanations on all the concepts, and includes instructions on how to perform the machine learning.
Do you feel there are things they are teaching in the class that you already know or has everything been new? Everything is familiar to me, except they go more in depth and I learn more about the algorithms, R, and Python and all the parameters and things that you can do. I never knew this about R.
Do you think somebody should have a PhD in order to do well as a data scientist? The skills you have as a scientist are very helpful as a data scientist. How are you balancing your studies with a full time job? When my friends ask me to go out, I say I have to work on my studies. Yes, yes. Most of the people on my team are analysts or web developers. I can take six months to finish the course.
I think it helps if you have a basic knowledge of statistics and programming skills. You need to work hard to get the most out of it. Ben Reid is the founder of Elasticiti , a tech services company that builds advanced advertising analytics SAAS systems for online web publishers.
His team uses data to help companies make informed decisions, so Ben sees NYC Data Science Academy graduates as a fantastic talent pool. We chat about ramping up bootcamp grads, his experience with their first bootcamp hire, Sara, and why Elasticiti will continue to hire from NYC Data Science Academy!
Tell us about Elasticiti. Who are your customers and what does your team do? We work like a design or architecture firm would to take a raw idea to the next level of focus and strategy. We are thrown all sorts of different tasks, some are more in the data engineering realm, some are predictive in nature, a lot of them are visual and design driven.
Part of the attraction of the data science background is that versatility in that broad skill set. Vivian and Janet are really talented and impressive so the conversation progressed from there. We were looking to expand our hiring profile to include career changers. Our team has a lot of people who are much more senior in their career so this is an interesting complement to it.
We went to a couple of their showcases and saw some of the projects that they did, and most importantly, how they thought about the project. It definitely feels like the students there are of a pretty high caliber even before they come into the program. Are you paying to hire their graduates or is it just a mutually beneficial relationship?
We seem to have a mutually vested interest in people graduating from the academy and finding careers. We hired Sara Zeid for a couple of reasons. Firstly, she had relatively strong domain experience and had a good foundation in media. The other reason is that she had two degrees in social sciences.
A lot of the way we look at the world in media relies on knowledge of sociology and economics so the fact that she had formal training in that was definitely attractive. We felt that NYC Data Science would provide the broad foundation and we would fill in specific applications after that.
For what we do at Elasticiti, which is very prototype and idea driven, the way we think about problems is central. New perspectives are a great complement to the existing team. What kind of mentoring or onboarding is important for a bootcamp graduate? Your project is going to dictate which part of the media universe is really important. We want people to be a little self-motivated, too.
Media is a large and interesting animal; understanding the habits and traditions of this industry is definitely critical. These can range from presentation skills, to running effective meetings, and asking questions in a way that gets the most useful response. Everybody comes to the table with some other social science or even liberal arts background but along the way has acquired the necessary technical skills.
Some have MBAs, a number of folks have other social science backgrounds like Economics. Are you able to influence the curriculum based on your own needs? I would say that feedback loop is nascent, but we have had some conversations along that line. Client privacy is absolutely critical so their data is off-limits. How early on do you get to start interacting with the students?
Are you meeting them midway through or at the very end? Those types of things tend to evolve over weeks, if not months. Would you recommend hiring data scientists out of a bootcamp? Are there types of companies that you would not recommend to hire coding bootcampers?
For us, the attraction was and probably will remain that bootcamp grads come to the table with a wide range of foundational skills and they may come to the table with more advanced niche skills that they want to build upon. Now just days away from graduation at NYC Data Science Academy , Samara tells us how she landed a job at IBM Watson before graduation and shares the most important ingredient to a successful bootcamp experience.
After graduating, I did a year of research with neurosurgeons and then started medical school in fall I wanted to be one of those MDs that embraces technology. But in medical school, I realized that clinical practice was not for me. I was so passionate about technology and data that I ended up spending all of my time focusing on that.
After asking a lot of people for advice, I decided to go after the type of job I wanted so I left after completing one year. When you were in med school and doing research at Columbia, did you find that you were able to see the intersection between health and technology? There could be two parts to this question. One is the intersection of health and data and the other is the intersection of health and technology.
The numbers are so small and the values are often insignificant. There were people willing to teach me about it, but I had to work hard to foster those relationships. Medicine is notorious for being very slow to pick up new technology and I found that to be very true throughout my educational experience. In my first year I did this clinical skills class that teaches you how to be a doctor—how to use a stethoscope and related skills.
That summer I had a grant from the National Institute of Health to do research with the general surgery team for three months. The grant ended at the end of August and I started the data science bootcamp mid-September. He is very connected in the data science world and recommended two bootcamps. Not that many. Almost everyone had some form of advanced degree which is a real selling point for the course.
I enrolled in a General Assembly data science course while going through the application process at NYC Data Science Academy and it was great because I was able to compare the two experiences. At General Assembly, my interview was a minute phone call with an interviewer who asked pretty basic questions.
No, this was a part-time class that met for three hours twice a week. I think the course was 60 total hours of instruction. I got the sense that most people were accepted, which works fine for a twice a week, six hour course. One thing I liked about NYC Data Science Academy is that they tried to get a good group of people together to meet the expectations of their industry partners.
I took a statistics course in college and we used R in that course. I used it a couple of times, but not when I was doing clinical research. A background in Python would have been extremely helpful. The application includes two algorithm-type problems that involve writing code in R or Python, whichever one you prefer. Were you able to get through the coding challenge with your background in R or did you have to teach yourself how to do it?
I did not come up with this answer on my own, but I could explain it. Was your class strong, was it diverse, and was it a good group of people? My favorite part about the bootcamp is the other students. I was super intimidated by the group in the beginning. There are two people with PhDs in Math, people with PhDs in Computer Science, a person who worked in a hedge fund for 15 or so years and has published numerous papers, a biodynamics PhD—it just goes on and on.
Did you feel that you were on the same level in terms of programing and quantitative expertise. Did you feel that you could keep up? I was certainly not on the same level and it was definitely hard to keep up. Coming from the medical field to technology, does it seem more male-dominated than medicine?
I spent most of my time and did all of my research in the general surgery department and that was mostly male aside from the Chief of Surgery. Being one of two women in a bootcamp, do you have advice for the many other women who find themselves in that position?
At NYC Data Science Academy, were you satisfied with the emphasis on those programming and machine learning skills that you wanted to learn? He is a bit older and worked at Google for about 10 years. Mu Ramen on Temporary Hold. But I still struggled to find a job. Pre-program kick-off: The job search. Investigators find cockpit voice recorder for crashed cargo jet Analysis of the audio is expected to include the voices of the pilots and audible warnings from the flight systems.
Shamanic Tantric Awakenings:
Given that you applied to all 3 data science bootcamps, what are some of the differences between Galvanize, Metis and NYC Data Science? Click here for more deets on this event and to register. So before I joined the bootcamp, I had been practicing for two to three years. Kosher Like Me? Entry is free with 2 cans of food for the local food pantry.