Columbia Engineering Data Analytics Boot Camp

Classes begin quarterly

Online Data Analytics Boot Camp in New York City

Learn Data Analytics in 24 Weeks Through Our Data Boot Camp

Columbia Engineering Data Analytics Boot Camp is committed to preparing our online data analytics learners for success. With the rise of data in today’s economy, our course focuses on teaching individuals the practical and technical skills needed to analyze and solve complex data problems through an innovative online learning format.

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Structured Flexibility

Our course is designed to give you the flexibility you need to balance your work-life schedule while providing you with the structure and support you need to be successful in achieving your career goals.  

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Innovative Instruction

Our boot camp combines the best of online education: engaging hands-on projects and live, interactive online classes led by expert instructors.

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Real-World Projects

Our industry-driven curriculum teaches you the most in-demand data skills through real-world examples. Everything you learn is immediately applicable to a professional environment.

Why Choose Columbia Engineering Data Analytics Boot Camp?

  • You will receive an Award of Completion from Columbia Engineering from our Online Data Analytics Boot Camp after studying part-time over 24 weeks.
  • Curriculum covers relevant tools and technologies including Intermediate Excel, Python, JavaScript, HTML5/CSS, API Interactions, SQL, Tableau, Fundamental Statistics, Machine Learning, Git/GitHub and more.
  • Projects align with real-world datasets from various industry data fields like Finance Services, Human Resources, Healthcare and Government.
  • You will receive the same level of support as our in-class experience including instructors, teaching assistants, learner success team, free tutor network, and more.
  • Benefit from the support career services will provide you during the course and up to three months after completing the boot camp.

Market-Driven Skills

Fast-paced, dynamic courses cover specialized skills for the booming field of data, including Intermediate Excel, Python, HTML/CSS, API Interactions, SQL, Tableau, Fundamental Statistics, Machine Learning, Git/GitHub, and more.

You’ll learn from skilled instructors and gain real-world experience by collaborating with your peers on complex projects. You will also build a comprehensive portfolio along the way, giving you the confidence you need to tap into the industry. The data analytics classes dive into a curriculum covering the foundational skills for data analytics and visualization, including:

Intermediate Excel

  • Pivot Tables
  • VBA Scripting

Fundamental Statistics

  • Modeling
  • Forecasting

Python Programming

  • Python 3
  • NumPy
  • Pandas
  • Matplotlib
  • API Interactions


  • Postgres/pgAdmin
  • MongoDB
  • ETL

Front End Web Visualization

  • HTML
  • CSS
  • Bootstrap
  • Dashboarding
  • JavaScript Charting
  • Geomapping with Leaflet.js

Business Intelligence Software

  • Tableau

Advanced Topics

  • Big Data Analytics with Hadoop
  • Machine Learning
*The material covered is subject to change. Our academic team adjusts to the market demand.

Reserve your spot in an
upcoming boot camp.

It only takes a minute to request information and receive a full curriculum overview. You will also be put in touch with an admissions representative who can answer questions and get your application started.

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Innovative Online Model

Real-World Training

Get job ready through hands-on experience with the latest technologies, and build a portfolio of projects to showcase your knowledge.

Interactive Live Classes

Attend class from wherever you are. These online sessions are NOT lectures: they’re designed to be highly engaging and interactive sessions. Work with other members of your tightly-knit cohort and broaden your experience while leaning on your instructor and teaching assistants.

Job Planning Assistance

You will have access to a dedicated career director and career material advisor that will help you prepare to find your dream job after completing the boot camp through a wide range of career services.

Job Outcomes in New York City

Individuals who complete the online data analytics course can be qualified for a number jobs including: 

  • Looks at large amounts of information to glean data-driven insights using a variety of coding, statistics and tools. According to Indeed job postings, the top companies hiring Data Analysts in NYC include Target, Bloomberg, and Pacific Gas and Electric Company (PG&E).
  • Employs advanced skills that include those of data analysts, data engineers and more! They focus on machine learning and algorithm development for modeling trends and forecasting the future. According to Indeed job postings, the top companies hiring Data Scientists in NYC include Apple, Twitter, and Airbnb.
  • Uses Excel and Powerpoint to create reports around key business questions and develop strategies based on macro trends in the data. According to Indeed job postings, the top companies hiring Business Analysts in NYC include Intuit, Accenture, and Oracle.
  • Designs, installs, tests and maintains software systems with popular programming languages like Python. According to Indeed job postings, the top companies hiring Software Engineers in NYC include Squarespace, Citi, and Twitter.

The Market for Data Analysts in New York City

Research from Burning Glass Technologies Labor Insight™ 2020 indicates that data analysts can expect 12.3 percent growth in employment over the next decade — more than the average for all occupations. Burning Glass Technologies also reports that the demand for data analysts in New York City has grown by 50% in recent years, and the demand for data analysts early in their careers, with less than 2 years of experience, has increased by 112%.

Prospective data analysts can pursue jobs in a wide variety of industries such as finance and insurance, manufacturing, health care, and transportation. Candidates can increase their odds of getting hired by learning specialized skills relevant to the field. A solid understanding of SQL databases, Tableau, and Python programming are essential for today’s employers, as well as soft skills like collaborative abilities, problem solving, and attention to detail.

Learners enrolled in Columbia Engineering Data Analytics Boot Camp engage in a challenging curriculum covering these in-demand tools and technologies while collaborating with peers on real-world projects. Following the boot camp, learners can qualify for roles like data analysts, business analysts, research analysts, and BI analysts, among many others.

Tech roles like these have a very promising future in New York City. The Center for an Urban Future estimates that 67,000 NYC technology jobs were posted between April and November 2020 alone. Additionally, leading tech companies such as Google, Facebook, Apple, Amazon, and Netflix have recently invested millions of dollars in the city and increased hiring for many of these positions despite the current economic uncertainty. 

Is a Data Analyst Boot Camp Right for You?


You’re a data professional and want to further your career by gaining a new set of technical skills.


You’re looking to switch careers and aspire to transition into a new field as a data professional.


You’re currently in a business where data is crucial to the bottom line and want to make a bigger impact.

How to Apply to Columbia Engineering Data Analytics Boot Camp

  1. Form Submission. Fill out our interest form with a few of your key details so that we can get in touch with you.
  2. Admissions Interview and Application. Connect with a member of our admissions team for a quick phone interview to discuss the boot camp in more detail, answer your questions, and talk through your goals. Then, fill out a short application that tells us more about you and your reasons for pursuing this opportunity. 
  3. Assessment. Complete a multiple-choice critical thinking and problem-solving assessment. This is your chance to show us your logic-based skills. No prior industry experience is required to complete the assessment. If you pass your academic assessment (congratulations!), you are officially accepted into the boot camp and able to move forward with the enrollment process.
  4. Financial Options, Deposit, and Enrollment Agreement. After acceptance into the boot camp, you will connect with admissions to discuss which financial option works best for you. Once you’ve approved your desired payment method, the last step to finalize your enrollment is to pay your deposit and review and sign your enrollment agreement.

Start Your Journey. That’s it! You’re now ready to begin your pre-work and prepare to start the boot camp.

Part-Time Data Analytics Boot Camp

  • 24-week online format
  • Study part-time while maintaining your existing professional, educational, or personal obligations
  • Learn through live online classes three days per week and real-world projects
  • Dedicate 9 hours of scheduled in-class time per week and a minimum of 20+ hours outside of class on hands-on projects and practice work

Currently Enrolling:

Coding Boot Camp:

  • Part-Time: January 18, 2023
  • Full-Time: January 30, 2023

Data Analytics Boot Camp:

  • Part-Time: December 12, 2022

UX/UI Boot Camp:

  • Part-Time: March 13, 2023

Cybersecurity Boot Camp:

  • Part-Time: February 13, 2023

FinTech Boot Camp:

  • Part-Time: March 14, 2023

Digital Marketing Boot Camp:

  • Part-Time: December 12, 2022

Product Management Boot Camp:

  • Part-Time: December 13, 2022

Frequently Asked Questions

Our data analytics boot camp in New York is held online. Call us at (646) 870-1598 for more information on how to apply, or visit our Online Experience page to learn more.

No, applicants do not need to be Columbia students. The Data Analytics Boot Camp is offered through Columbia Engineering.

No data or programming experience is required. It is recommended that applicants hold a Bachelor’s Degree or have at least two years of experience in business, management, finance, statistics, or a related field.

Below are some funding options for you to choose from. Please note that funding should be approved before you begin the process:

  • Full Tuition, Interest-Free Payment Plan: A deposit is required to secure your seat in the class. The rest of the tuition will be split into six equal monthly payments.
  • 24-Month Interest-Free Payment Plan: Once approved, you’ll pay your deposit and split the remaining tuition over 24 monthly installments with zero interest.

Please contact us to get details on tuition cost and any available loan options.

Data Analytics Boot Camp Curriculum

We all know that in today’s professional world, your knowledge is only as good as your ability to put it to use. For that reason, the curriculum at Columbia Engineering Data Analytics Boot Camp gives you skills-based training. Our Boot Camp not only teaches you the fundamentals for data analytics but also shows you how to apply your knowledge to real-world projects.

From visualizing bike-sharing data in New York City to mapping earthquakes worldwide in real-time, you will get hands-on experience that translates into your work in the field.

Data Analytics Part-Time

Module 1: Excel Crash CourseWeeks 1-2

Learn to do more with Microsoft Excel. In this module, we’ll cover advanced topics like statistical modeling, forecasting and prediction, pivot tables, and VBA scripting. You’ll even learn to model historic stock trends -- and hopefully, learn to beat the market!

What You Will Learn:
  • Microsoft Excel
  • VBA Script
  • Statistics Modeling

Module 2: Python Data AnalyticsWeeks 3-8

Gain a strong foothold in one of today’s fundamental programming languages. In this module, you’ll gain deep proficiencies with core Python, data analytics tools like NumPy, Pandas, Matplotlib, and specific libraries for interacting with web data like Requests, and Beautiful Soup.

What You Will Learn:
  • Python
  • APIs
  • JSON
  • NumPy
  • Pandas
  • Matplotlib
  • Beautiful Soup

Module 3: DatabasesWeeks 9-13

Dive deep into the most prolific database languages: SQL and NoSQL. Work with Postgres/pgAdmin and MongoDB to organize data into well-structured and easily retrievable data formats.

What You Will Learn:
  • SQL
  • NoSQL
  • MySQL
  • Postgres/pgAdmin
  • MongoDB

Module 4: Web VisualizationWeeks 14-19

Building visualizations is of little benefit without a way to communicate the message. In this module, you’ll be learning the core technologies of web development (HTML, CSS, and JavaScript) to create new, interactive data visualizations that you can share with everyone on the web.

What You Will Learn:
  • HTML
  • CSS
  • JavaScript
  • Leaflet

Module 5: Advanced TopicsWeeks 20-23

By Boot Camp’s end, you’ll be immersed in new and in-demand topics like Tableau, Hadoop, and Machine Learning.

What You Will Learn:
  • Tableau
  • Hadoop
  • Machine Learning

Module 6: Final ProjectWeek 24

As part of a small team, you’ll draw upon everything you have learned in the Boot Camp to create an impressive data visualization application. Get creative and come up with something cool to show off to the whole world.

What You Will Learn:
  • Dreaming up something fantastic and pushing the bounds of reasonable and achievable

Reserve your spot in an
upcoming boot camp.

It only takes a minute to request information and receive a full curriculum overview. You will also be put in touch with an admissions representative who can answer questions and get your application started.

Review previously provided information.
* indicates required field.

Not **** ?
Share some information to gain exclusive access to our articles.