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Part-time Online Data Science Bootcamp

Top-ranked, most comprehensive, 1-on-1 expert support
Best Online Bootcamp
2 years in a row
Starts on the first Monday of each month

What we focus on

Part-time Online Data Science Bootcamp vs Other Online Courses

A Complete Curriculum

A Complete Curriculum

There are tons of data science resources online, yet you don’t know what to study. Our curriculum is drawn from data science engagement with corporate consulting and training, hiring partners, and active industry participation. We know which tools you should be learning to be competitive in the job market. You’ll graduate with everything you need to land a job as a data scientist.

High Engagement and Completion Rate

High Engagement and Completion Rate

Open online courses have a shallow completion rate, often close to 10%, and they offer even lower understanding of the material at the end of the course. Our part-time online bootcamp ensures that students achieve a very high level of proficiency. You are expected to dedicate yourself to a schedule and fulfill all the requirements by attending the recorded sessions, participating in quizzes and projects.

Thorough Interaction and Support

Thorough Interaction and Support

Our applicants consistently tell us about their disappointment with not having personal support in other online programs. Once enrolled, you’ll join a dedicated Slack community where you can ask questions and interact with current students, alumni, and staff. This interaction fosters collaboration between students and instructors, TAs and mentors via an online chat and meeting systems. You’ll also have the opportunity to work together with your mentors and peers on homework, projects, job applications, interview preparation, paired programming, and even further through our extended alumni community.

Amazing Job Placement Assistance

Amazing Job Placement Assistance

We work closely with hiring partners and recruiting firms to create a pipeline of interests for students. Each student receives 1-on-1 support from our career advisors with job search. They also get access to all kinds of job assistance resources, including coding reviews, interview prep, resume workshops, and access to our exclusive hiring partner network.

How does the Part-time Online Data Science Bootcamp work?

Example of Student Projects

Complete Suite of Learning Materials

Part-time Online Data Science Bootcamp provides a comprehensive set of materials including lecture videos, slides, homework and solutions, code reviews, jump-start sessions, and a selection of guest speaker talks, online webinars and meetups.

Build real-world projects

You’ll work independently as well as in teams on four real-world projects and present your work during project presentation days, which occur twice a month. These presentations will allow you to demo your work and feature it under our stellar Students-Work blogs.

Dedicated mentor support

Benefit from 1-on-1 tutoring, mentorship and project support via our dedicated meeting portal. You can book up to 80 one-hour video meetings with working data scientists in JPMorgan, PWC, National Grid, etc. and experts in machine learning, data visualization, deep learning, and more.

Personalized job assistance

Our career advisors work closely with every student to provide tailored support. Career advice includes but is not limited to coding reviews, interview prep, resume workshops, and access to our exclusive hiring partner network.

Learning Roadmap

6 Months
Commit 20-30 hours/week
(Recommended)
Typical Schedule
Week 1-2: Data Science Toolkit
Week 3-5: Data Analysis and Visualization with R
Week 6-8: Data Analysis and Visualization with Python
Week 9-13: Machine Learning with R
Week 14-18: Machine Learning with Python
Week 19-23: Advanced Topics in Deep Learning and Big Data
Week 24: Final Review Week and Final Exam
Want to commit full-time to learning data science?

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

Online Classroom Features

Online Learning Platform

Our dedicated online learning platform is tailored to students’ success and learning experience. Students can access their coursework, get project feedback from instructors and mentors, 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 laptop or iPad, students gain access to a dynamic set of exercises, over 1000 coding challenges, datasets, and resources from anywhere in the world.

Dedicated Meeting Portal for 1-on-1 Support

The online meeting portal allows students to schedule meetings with industry-expert mentors to discuss coursework, projects, and career advice. These mentors are professional data scientists working at PwC, Unilever, Vanguard, National Grid, as well as are licensed instructors. They help students with specific topic discussions related to Data Science Toolkits, Data Analysis with Python & R, Machine Learning with Python & R, Data Engineering, Deep Learning or chose their projects to make them more industry relevant. You can book up to 80 hours of 1-on-1 interactions with any number of chosen mentors throughout the bootcamp.

Community support

Our online community ensures that you never work alone. A large portion of our curriculum involves group projects and peer programming. You’ll collaborate with your classmates on projects and share knowledge via online chat and community channels. Collaborate and learn from others’ codes and build the team skills needed in a real working environment.

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 gala party

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 Skills Fund 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 approval interest rate

Student Testimonials

Heather Kleypas
Heather Kleypas
Growth Analyst,
DailyPay, Inc.
New York, New York
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NYCDSA was referred to me by professionals in the industry. I chose the remote bootcamp and learned a vast amount of topics including SQL, R, Python, and Hadoop & Spark. During my studies, I published 4 blog posts of project work ranging from a visual analysis of the American Music Awards to predicting housing prices. I had an assigned TA who I met weekly to discuss my courses and homework, which was very helpful. Interview prep was also a great asset to the program. Upon graduating, I received a grad package with the NY State Board of Education certificate included. I received a job offer within a month of graduating as a Growth Analyst.

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I took the 12-week online bootcamp in 2017 because I was working as a Data Analyst during that time. The teachers are really nice and helpful. And they hold hiring events every 3 months to help students getting their jobs. The knowledge I have learnt there has definitely made a big change in my everyday job. My colleagues are just amazed by what I can do. Also, the cap-stone project I have done has given me the chance of co-founding a start-up. If that's not enough, Google just called me recently and offered me an opportunity for an on-site interview. Taking the bootcamp is one of the best decisions I have made in 2017.

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Jian Qiao
Jian Qiao
Data Scientist,
Verizon
New York, New York
Jian Qiao
Jian Qiao
Data Scientist,
Verizon
New York, New York
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I took the 12-week online bootcamp in 2017 because I was working as a Data Analyst during that time. The teachers are really nice and helpful. And they hold hiring events every 3 months to help students getting their jobs. The knowledge I have learnt there has definitely made a big change in my everyday job. My colleagues are just amazed by what I can do. Also, the cap-stone project I have done has given me the chance of co-founding a start-up. If that's not enough, Google just called me recently and offered me an opportunity for an on-site interview. Taking the bootcamp is one of the best decisions I have made in 2017.

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William Zhou
William Zhou
Informatics Specialist,
Memorial Sloan Kettering
New York, New York
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WHY Data Science and WHY NYCDSA: I had no idea about data science until 2016 Feb when Alphago defeated Li Shishi and it was the first time for me to get to know what is Artificial Intelligence and what is machine learning. Bringing my huge curiosity, I self-learnt an online Machine Learning course on Coursera and was able utilize the skill , for the first time, in my working project and had a positive outcome. Being proud of my achievement, I also realized there was still a long way down the road.  This is actually the reason why I decided to join bootcamp -  fully armed myself with comprehensive data science skillset and then shifting my career towards a new page. NYCDSA is a perfect choice for me as it teaches anything you need to know to work as junior data scientist and allows you to keep full time job as the same time.

Experience: Even though it is an part-time online bootcamp, I was investing 40+ hours / week on studying slides, having office hour with TA and doing projects with current full time students. The bootcamp starts with an introduction Toolkits (Unix,Git,SQL,etc.), followed by introduction to R/Python, then followed by statistics and machine learning immediately applied using R and Python. The comprehensive curriculum is completed by an introduction to Big Data tools. I was able to finish a strong portfolio with 4 projects in Shiny App, Web Scraping, Kaggle and Capstone. I learned a lot especially by collaborating with full time students and TAs, so I would strongly recommend those online students who are physically in NYC, walk in the classroom and collaborate with full-time students on your last two projects.

In terms of job assistance, NYCDSA can provide tremendous assistance on your job hunting after your graduation. Vivian and Chris know what you need to have on your resume to catch HR’s eye and get an interview, and they have a strong network which can expose you to much more opportunities.

Outcome: I finally received offer from 2 Top insurance companies, 2 Top hospitals, and 2 boutique consulting companies. I feel my investment of 7 months of study and $16K totally worth as it allows me to finally launch my dream job. Thank you New York City Data Science Academy and I would recommend it to anyone who has same dream to be a data scientist.

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I spent my undergraduate years focusing on the life sciences without much formal educational background in programming and advanced statistics. While working as a data analyst my first few years out of college, I gained practical coding experience in R, picking up general programming and modeling experience - even still, I lacked the underlying foundation needed to understand and implement more complex machine learning for my projects at work.

The NYCDSA online bootcamp was the perfect blend of machine learning theory and practical, hands-on projects helping to solidify the lecture concepts. The overall experience was intense: I worked full-time at my day job and spent most of my free time (~30 hours/week) keeping up with lectures, course projects and career development - but got out an incredible learning experience, which helped me to perform more advanced projects at my current job and ultimately to find a new full-time data science role. My TA, meeting with me at least weekly, along with my online cohort of 4 other students, held us all accountable for staying on track with course deadlines and project work. This accountability was a crucial component in keeping us motivated throughout the 5 months; other online programs fail to do this and suffer student dropout as a result.

Another invaluable outcome of the program is the portfolio of projects (~5), which NYCDSA greatly emphasizes and helps groom. I used these as a demonstration of my experience (both from a coding standpoint on GitHub, and data storytelling standpoint, on the NYCDSA blog) in almost all job applications. While one does not need to attend a bootcamp in order to create a project portfolio, NYCDSA makes sure to curate and grade the assignments so as to demonstrate in the portfolio an important mix of technical skillsets sought in the job market, and holds its students to higher standards of work quality than they might hold themselves.

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Thomas Kassel
Thomas Kassel
Data Scientist,
Carbon Lighthouse
San Francisco, California
Thomas Kassel
Thomas Kassel
Data Scientist,
Carbon Lighthouse
San Francisco, California
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I spent my undergraduate years focusing on the life sciences without much formal educational background in programming and advanced statistics. While working as a data analyst my first few years out of college, I gained practical coding experience in R, picking up general programming and modeling experience - even still, I lacked the underlying foundation needed to understand and implement more complex machine learning for my projects at work.

The NYCDSA online bootcamp was the perfect blend of machine learning theory and practical, hands-on projects helping to solidify the lecture concepts. The overall experience was intense: I worked full-time at my day job and spent most of my free time (~30 hours/week) keeping up with lectures, course projects and career development - but got out an incredible learning experience, which helped me to perform more advanced projects at my current job and ultimately to find a new full-time data science role. My TA, meeting with me at least weekly, along with my online cohort of 4 other students, held us all accountable for staying on track with course deadlines and project work. This accountability was a crucial component in keeping us motivated throughout the 5 months; other online programs fail to do this and suffer student dropout as a result.

Another invaluable outcome of the program is the portfolio of projects (~5), which NYCDSA greatly emphasizes and helps groom. I used these as a demonstration of my experience (both from a coding standpoint on GitHub, and data storytelling standpoint, on the NYCDSA blog) in almost all job applications. While one does not need to attend a bootcamp in order to create a project portfolio, NYCDSA makes sure to curate and grade the assignments so as to demonstrate in the portfolio an important mix of technical skillsets sought in the job market, and holds its students to higher standards of work quality than they might hold themselves.

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