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Live Online Data Science Bootcamp

Full-time. All Five Weekdays. Live Daily Instruction. Personalized Job Support.
Best Online Bootcamp
2 years in a row
Next Starting Date: Apr 6th, 2020

How Live Online Data Science Bootcamp Works

Live Daily Lecture
Live Daily Lecture

Learn from real-time streamed video lectures with instructors and TAs as well as have access to prerecorded modules and coding questions for additional practice.

Live Communication
Live Communication

Participate in real-time interaction with your instructors and fellow students and have your questions answered by a dedicated TA on the spot via Zoom/Slack.

Real-world Projects
Real-world Projects

Work on four different projects to demonstrate various areas of your skillset that are deployable in the data science industry.

Personalized Job Support
Personalized Job Support

Gain access to lifelong career support with extensive job placement assistance ranging from resume reviews, interview guidance, and full access to our hiring partners and events.

Upcoming Cohorts

Spring Bootcamp:
Apr 6, 2020 – Jun 26, 2020
Summer Bootcamp:
Jul 6, 2020 – Sep 25, 2020

Check out a LIVE DEMO Class

Live Online Class
Advanced Topics in Python
Module
Python Data Analysis
Instructor
Alex Baransky
Description
NYC Data Science Academy's Instructor, Alex Baransky, walks through a lecture on classes and the concept of object-oriented programming.

Online Classroom Features

Live Stream Interface

Students will have a daily schedule from 9:30 am to 6:00 pm EST, which includes live-instruction from instructors as well as have access to prerecorded modules. The live chat will also have and dedicated TAs to answer any question on the spot. Besides, they will have access to dedicated TAs and a more extensive network of a shared Slack channel between both in-person and part-time bootcamp students.

Online Learning Platform

Our dedicated online learning platform is tailored to students’ success and learning experience. Students can access their coursework, get project feedback, and interact with fellow students for a truly embedded learning experience. It is designed to foster communication between instructors, TAs, and peers, making it an active learning, networking and collaboration platform. With our responsive learning interface that works on any Windows or Mac OS system, students gain access to a dynamic set of exercises, over 1000 coding challenges, datasets, and resources from anywhere in the world.

Community Interaction

Our online community ensures you never work alone. A large portion of our curriculum involves group projects and peer networking. Students collaborate with classmates on projects and share resources via online chat and community channels on Slack. Students also benefit from learning from others’ codes and building the team skills needed to work in the real world.

What You Will Learn

In this program students will learn beginner and intermediate levels of Data Science with an option to specialize in Big Data Technologies or Deep Learning. Students will also learn to build statistical models, linear regression, data classification and visualization using Python, R, Hadoop, Spark, AWS and more. Student receive the Certification of Graduation licensed by the New York State Board of Education after successful completion of the bootcamp.

Prework

Prerequisite online coursework includes a total of forty hours of lecture videos and over two hundred coding challenge questions. The Prework will prepare students to work with both R and Python as well as revisit basic concepts in linear algebra, calculus, and statistics.

  • Intro to Python
    Designed for people who are new to programming
  • Python for Data Analysis
    Level up your Python Skills
  • R for Data Analysis
    Learn R to process, analyze and visualize data
WEEK
Prework

Prerequisite online coursework includes a total of forty hours of lecture videos and over two hundred coding challenge questions. The Prework will prepare students to work with both R and Python as well as revisit basic concepts in linear algebra, calculus, and statistics.

  • Intro to Python
    Designed for people who are new to programming
  • Python for Data Analysis
    Level up your Python Skills
  • R for Data Analysis
    Learn R to process, analyze and visualize data

Career Services

Resume and Profile

1. Resume and LinkedIn profile review, interview skills & elevator pitch workshops

Technical Review

2. Mock technical interview and coding tasks

Post-Interview Review

3. One-on-one post-interview review and feedback outreach

Industry Experts

4. In-class industry experts speaker series

Hiring Partner Events

5. Hiring partner event series, including student presentations and a hiring partner networking events

Meetup Events

6. Present projects and networking with data science peers through our meetup events

Companies that hired our students

Google
Bloomberg
Spotify
JP
Capital One
Aetna
view complete list >

Tuition & Finance

Tuition Total
$17,600
full tuition payment
Payments can be made either by cash, credit card, check, or wire-transfer
Third-Party Financing Options
We partner with SkillsFund and Climb Credit to offer third-party financing options to interested students.
Skills Fund offers fixed interest rates on 3- and 5-year loans, regardless of current income, employment, or educational background. Climb Credit offers fixed interest rate loans for various types of credit, including students with no credit. International students are eligible to apply with a qualified co-borrower.
Skills Fund
$397.88
per month for 60 months
Borrow up to an additional
$7,500 for cost of living
Climb
$375 - $439*
per month for 60 months
Available to foreign citizens with a U.S. citizen or resident co-signer
* range varies based on the approval interest rate and the monthly installments.

Student Testimonials

Chung-Hsuan Huang
Chung-Hsuan Huang
Data Scientist,
Bayer
St. Louis, Missouri
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I did some research on data science online (Course report and switchup) before I made a decision. I chose NYCDSA because they covered both Python and R, their instructors are knowledgeable and professional, and comprehensive curriculum. Especially I have to use both R and Python in my work, so I think knowing both languages will open more opportunities when looking for a job.

NYC Data Science Academy did a great job of helping me acquire the necessary skills in Data Science before, during, and after the bootcamp. The pre-bootcamp materials helped me get familiar with the essential R/Python coding skills and speeded up the learning curve during the bootcamp. I highly recommend whoever wants to join a bootcamp should prepare before the bootcamp, and NYCDSA does a great job in providing necessary materials in R/Python coding.

During the bootcamp, the course work is very intensive. Although I already have coding experience and mathematical background, I still need to spend at least 12 hrs a day to study and finish homework and projects. However, the instructors and TAs are doing their best to ensure everyone can get the most out of the courses. As a remote student, I can't meet them in person, and they are still very responsive through messages or video meetings. During the bootcamp, I finished four projects to showcase my skills. One of them is solving the real business problem from the company, which is valuable when I was looking for a job. The academy also teaches you how to express your projects during the interview.

They have a robust professional network and hold a hiring event one week after each cohort. You will have the opportunity to expand your network and show your skills to various companies that are looking for data scientists or data analysts. They also dedicated to supporting you find a great job. Vivian did a fantastic job helping me with my interview processes and giving me valuable feedback.

Overall, I have a very positive experience with NYCDSA. I was suspicious if a bootcamp can make me transit into a data scientist when I looked for a data scientist bootcamp. However, I found a great job a month after I finished the bootcamp. This program is worth the hard work I put. I am glad that I made this decision a half year ago.

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I took the 12-weeks bootcamp at the NYC Data Science Academy. I am a postdoc in India. I had been writing graph algorithms for social network analysis and analyzing data using MS-Excel. I decided to extend myself to data science from data analysis.

I researched for about six months to choose a proper academy to learn data science. I came up with a decision to join NYC Data Science Academy, because I can learn both R and Python within three months. But, I learnt more than I thought. I gained hands-on experience in Python, R, SQL, Spark, deep learning, Hadoop and Hive.

The materials are technically sound for job interviews. Many experienced professors and industry professionals design and teach the materials. The course laid a solid foundation in data science. The people in the academy show keen interest in every student to understand the concept, in resume writing and above all, to get a job.

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Lakshmi Prabha Sudharsanom
Lakshmi Prabha Sudharsanom
Senior Data Scientist,
Kreate
Delhi, India
Lakshmi Prabha Sudharsanom
Lakshmi Prabha Sudharsanom
Senior Data Scientist,
Kreate
Delhi, India
Left Quote

I took the 12-weeks bootcamp at the NYC Data Science Academy. I am a postdoc in India. I had been writing graph algorithms for social network analysis and analyzing data using MS-Excel. I decided to extend myself to data science from data analysis.

I researched for about six months to choose a proper academy to learn data science. I came up with a decision to join NYC Data Science Academy, because I can learn both R and Python within three months. But, I learnt more than I thought. I gained hands-on experience in Python, R, SQL, Spark, deep learning, Hadoop and Hive.

The materials are technically sound for job interviews. Many experienced professors and industry professionals design and teach the materials. The course laid a solid foundation in data science. The people in the academy show keen interest in every student to understand the concept, in resume writing and above all, to get a job.

Right Quote
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Tracey Xu
Tracey Xu
Financial Engineer,
Moody's Corporation
New York, New York
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I have worked in financial services for 8 years and realized how technology has changed this industry so I decided to learn data science. With master in economics and CFA, I think my weakness is programming and modeling, getting a proper training would be the most efficient way to make me a data scientist. While comparing a few bootcamp programs, I chose NYCDS for 3 reasons: 1. Great content: teaching both R and Python, also include hands on sessions for SQL, AWS, deep learning, NLP etc; 2. Great teacher and students: the founder and fellow teachers, guest teachers all worked on or currently working on data science projects in different industry, students having strong background with different domain knowledge; 3. The online full-time program fits my schedule after discussion with my manager.The skills I learned by completing the 4 projects could be directly apply to my work.

The 12 week bootcamp was intense, but I learned so much by pushing myself to my limit. I am not only self-motivated, but also motivated by my peers. I felt so excited about the synergy between my and my teammates in group projects while working hard together. While achieving my goal of improving programming and modeling skills, I also becoming much more open-minded and not afraid to start from beginning learning new technical skills at any time. After completing the bootcamp, I applied the skills I learned and created an application at work which is becoming a popular tool.

NYCDS is very supportive, teachers, TAs, fellow students, alumni as well as the founder of the school can provide you any resource you need to help you achieve your goal. If I can redo this program again, the only change I will make is applying earlier. In this way, I can prepare myself longer in the pre-bootcamp training so that I can explore more during the bootcamp. This bootcamp is a life change experience for me. I highly recommend this program!

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The motivation for attending a data science bootcamp generally starts with reading testimonials, which are the experiences and thoughts of past fellows. I believe that my experience as a remote participant in the Summer 2017 bootcamp is unique as the NYC Data Science Academy made it live stream to me throughout the bootcamp. This is totally different experience than doing bootcamp online as I was able to join lectures, industry expert speaker sessions, and workshops as the fellows did in person. This was indeed a great opportunity for me as I was able to ask my questions during the lectures and seminars and participated actively with my comments. The crucial point here is that live streaming the bootcamp and communicating through Slack channel made it possible for the team at the Academy to track my progress in the assignments and projects daily and encouraged me to participate fully in the bootcamp.

I can definitely say that attending the NYC Data Science Academy bootcamp was one of the greatest investments in my life. I learned how to code efficiently in R and learned to code in Python with real-life projects. I am hundred percent sure that my attendance to the bootcamp let me to find my current data science related post doctoral position. I could suggest future candidates take some initial online courses for machine learning and deep learning, where they will find themselves more comfortable while approaching highly-technical projects in the bootcamp.

One of the strongest sides of this bootcamp at the NYC Data Science Academy is the time and effort that the hiring team spends on. For remote participants, this is much more valuable than any other thing as you are receiving constant help in finding the best job depending on your portfolio. And you feel that you are a member of an excellent group of data scientist. As an active learner of data science field, I recommend the NYC Data Science Academy with full of confidence.

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Mustafa Koroglu
Mustafa Koroglu
Data Scientist,
Loblaw Companies
Toronto, Canada
Mustafa Koroglu
Mustafa Koroglu
Data Scientist,
Loblaw Companies
Toronto, Canada
Left Quote

The motivation for attending a data science bootcamp generally starts with reading testimonials, which are the experiences and thoughts of past fellows. I believe that my experience as a remote participant in the Summer 2017 bootcamp is unique as the NYC Data Science Academy made it live stream to me throughout the bootcamp. This is totally different experience than doing bootcamp online as I was able to join lectures, industry expert speaker sessions, and workshops as the fellows did in person. This was indeed a great opportunity for me as I was able to ask my questions during the lectures and seminars and participated actively with my comments. The crucial point here is that live streaming the bootcamp and communicating through Slack channel made it possible for the team at the Academy to track my progress in the assignments and projects daily and encouraged me to participate fully in the bootcamp.

I can definitely say that attending the NYC Data Science Academy bootcamp was one of the greatest investments in my life. I learned how to code efficiently in R and learned to code in Python with real-life projects. I am hundred percent sure that my attendance to the bootcamp let me to find my current data science related post doctoral position. I could suggest future candidates take some initial online courses for machine learning and deep learning, where they will find themselves more comfortable while approaching highly-technical projects in the bootcamp.

One of the strongest sides of this bootcamp at the NYC Data Science Academy is the time and effort that the hiring team spends on. For remote participants, this is much more valuable than any other thing as you are receiving constant help in finding the best job depending on your portfolio. And you feel that you are a member of an excellent group of data scientist. As an active learner of data science field, I recommend the NYC Data Science Academy with full of confidence.

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