Full-Financing
Lifelong Career Support

Data Analytics Bootcamp

IN-PERSON/REMOTE LIVE INSTRUCTION or ONLINE INSTRUCTION
Learn data analytics anytime, anywhere with R, Python, SQL, and real-world business cases.
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Immerse yourself in accelerated learning and launch your data analytics career through Interactive Distance Learning! This short bootcamp is designed to equip you with the dominant skills and tools for data analytics.

Data Analytics Bootcamp

(In-Person on Campus or Remote Live Instruction: Daily In-person Learning or Live Class in Zoom, 7-Week, Full Time)

Data Analytics Bootcamp - Online

(Interactive Distance Learning: Online Learning, 1-on-1 Mentor, 3 Months, Part Time)
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What You Will Learn

It is an accelerated training program in which students learn the major tools and methods for performing data analyses and apply them to various projects typically found in real-life business situations. Students learn to employ R and Python for data analytics projects and for presenting research results effectively.Students receive upon graduation a Certificate of Completion from NYC Data Science Academy, which is licensed to operate as a Private Career School by the New York State Education Department through its Bureau of Proprietary School Supervision.

Prework
Prerequisite online coursework includes a total of forty hours of work and over two hundred exercises. The Prework will prepare students to work with both R and Python as well as revisit basic concepts in linear algebra, calculus, and statistics.
  • Mathematics/Statistics: Refresh your memory in linear algebra and statistics.
  • Calculus: Exercise basic calculus techniques for data.
  • Conda Installation: Kick off your Python journey with a beginner-friendly setting!
  • Python: Designed for people who are new to programming.
  • R: Learn R to process and analyze data.
Prerequisite online coursework includes a total of forty hours of work and over two hundred exercises. The Prework will prepare students to work with both R and Python as well as revisit basic concepts in linear algebra, calculus, and statistics.
  • Mathematics/Statistics: Refresh your memory in linear algebra and statistics.
  • Calculus: Exercise basic calculus techniques for data.
  • Conda Installation: Kick off your Python journey with a beginner-friendly setting!
  • Python: Designed for people who are new to programming.
  • R: Learn R to process and analyze data.

Online Classroom Features

Online Learning Platform

Students can access their coursework, get project feedback from instructors and mentors, and interact with fellow students for a truly interactive learning experience. The platform is designed to foster collaboration between students, instructors, and mentors. With our custom-built interface that works on any device, students are able to access their learning materials anytime, anywhere.

Dedicated Meeting Portal for 1-on-1 Support

The online meeting portal allows students to schedule meetings with our dedicated mentors to discuss coursework, projects, and career advice. These mentors are professional data scientists working at global companies including PriceWaterhouseCoopers, Unilever, Vanguard, and National Grid.

Community Interaction

Our online community ensures that students always receive timely support. The bootcamp involves group projects, peer programming, and online communication with their classmates and instructors. We aim to foster a community where every student can learn from each other’s codes and build the skills needed in a collaborative environment.

Outlooks and Outcomes

25%↑
Fast-growing career field
$84,810
Median Annual salary

Networking opportunities with alumni and hiring managers

Networking Opportunities

Featured Alumni

Student Works Showcase

Get Hired Along the Way

Students are provided extensive job placement assistance ranging from individualized resume support and interview guidance to access to our network of hiring partners and events.

Choose The Path That's Right For You

Choose The Path That's Right For You
Data Science with Machine Learning Data Science with Machine Learning - Online Data Analytics Bootcamp - Online Bundled Professional Development Courses Professional Development Courses
Commitment Full-time
Remote Live/In-person
Full-time / Part-time
Online
Online Part-time Remote Live/In-person
Duration 12 Weeks
Only on Weekdays
16 Weeks (Full-time)
24 Weeks (Part-time)
12 Weeks
Self-paced
Combination of professional development courses 4 - 6 weeks
Weekdays or Weekends
Career Support / /
Cost $17600 $17600 $9995 Starts at $4500 Starts at $1500
Financing Options /
Choose The Path That's Right For You
Choose The Path That's Right For You

Learn From the Best

Vivian Zhang
Vivian Zhang
Chief Technology Officer and School Director
Vivian is the CTO and School Director of NYC Data Science Academy and CTO of SupStat. She is an adjunct professor at Stony Brook University and founded the NYC Open Data Meetup, which is 4000 strong. She has many years of practical experience in data technologies and the analytics, and has expertise in multiple programming languages including R, Python, Hadoop, and Spark. Vivian was ranked in "9 Women Leading The Pack In Data Analytics" by Forbes in August 2016. She enjoys meeting people and enjoys sharing her experiences with young professionals and students.

Start your Application

1

Apply for the Program

We suggest applicants to have a master’s degrees or Ph.D.s in Science, Technology, Engineering or Mathematics, or equivalent experience. Bachelor's or non-STEM degrees will also be considered.

2

Talk to an Admission Officer

After reviewing your application, our team will invite you to schedule a video interview. The interview serves as a chance to connect and better understand your background and career goals.

3

Technical Assessment

You will be asked to complete a series of technical questions that will assess your thought process and technical knowledge. You may use any programming language to complete the assessment.

4

Welcome on Board!

Our admissions process is highly competitive, rigorous and may take up to 7-10 business days. We encourage students to apply early as limited seats are offered and filled on first-come-first-serve basis.

Upcoming Cohorts

Winter Session (Online)
(Interactive Distance Learning)
Jan 3, 2022 - Mar 25, 2022
Winter-mid Session (Online)
(Interactive Distance Learning)
Feb 14, 2022 - May 6, 2022
Spring Session (Online)
(Interactive Distance Learning)
Mar 28, 2022 - Jun 17, 2022
Winter Session
Jan 3, 2022 - Mar 25, 2022
Winter-mid Session
Feb 14, 2022 - May 6, 2022
Spring Session
Mar 28, 2022 - Jun 17, 2022

Tuition & Finance

Tuition Total
$9,995
full tuition payment
Payments can be made either by cash, credit card, check, or wire-transfer
Third-Party Financing Options
We partner with Ascent Fund and Climb Credit to offer third-party financing options to interested students.
Ascent 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.
Range varies based on approval interest rate.
Range varies based on approval interest rate.
* Available to foreign citizens with a U.S. citizen or resident co-signer

Upcoming Events

Campus Location

Campus Location
500 8th Ave Suite 905, New York, NY 10018
Nearby Subways
1 2 3 34th, Penn Station
A C E 34th, Penn Station
N Q R B D F M 34th, Herald Square

Frequently Asked Questions

Interested applicants are encouraged to submit their bootcamp application as early as possible as the Academy has a competitive process due to the number of applications that are received and limited seats that are offered.

The application process consists of three steps:

  1. Applicants are required to submit an online application designed to help the Admissions team get a sense of each applicant’s educational and work background. Applicants are also asked to complete self-assessment questions about their familiarity and technical experience with various data science topics and tools. It should not take more than 10 to 15 minutes to complete the online application.
  2. After the application is reviewed, the applicant will be contacted by a member of the Admissions team to schedule a video interview. This interview serves as a chance for both parties to understand better if the bootcamp program is the best fit for the background and goals of the applicant.
  3. If advanced to the final step, the applicant is invited to complete a technical assessment. It contains technical challenges that determine the thought process and programming experience of the applicant. Each applicant has 48 hours to complete and submit the assessment. The team will then review and evaluate the responses and determine if the applicant is ready to join the bootcamp.

Start Data Science Career Today