• Next Cohort starts 7 Jun, 2023
  • Program Duration 6 months
  • Learning Format Online Bootcamp

Why Join this Program

Caltech's Academic Excellence

Earn a Data Science Bootcamp certificate and up to 14 CEU credits from Caltech CTME

Caltech Campus Connect

Caltech Circle membership and campus engagement

Comprehensive Career Services

1 to 1 resume sessions | Access to 3M+ jobs via our network of 1500+ recruiters (US only)

Hands-on Experience

Project-oriented and hands-on sessions to master the concepts, tools, and techniques.


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Data Science Bootcamp Overview

The Caltech Data Science Bootcamp in NYC covers critical data science topics like Python programming, machine learning, data analysis and visualization, and more through an interactive learning model led by industry experts. It also includes integrated labs where you can work on real-world projects and capstones, and take masterclasses from Caltech CTME faculty.

Key Features

  • Caltech Data Science Bootcamp completion certificate
  • Earn up to 14 CEUs from Caltech CTME
  • Masterclasses delivered by distinguished Caltech faculty
  • Caltech CTME Circle Membership
  • Online convocation by Caltech CTME Program Director
  • Access to integrated labs
  • 25+ hands-on projects across industry verticals with integrated labs
  • Simplilearn Career Service helps you get noticed by top hiring companies
  • Capstone projects in 3 domains
  • 8X higher interaction in live online classes by industry experts

Data Science Bootcamp Advantage

This Data Science Bootcamp leverages Caltech’s academic excellence. Caltech’s CAST is a facility where machines and researchers work together and learn from one another.

  • Data Science Certificate

    Partnering with Caltech CTME

    • Masterclasses delivered by distinguished instructors
    • Bootcamp completion certificate from Caltech CTME
    • Earn up to 14 CEUs to showcase your achievements

Data Science Bootcamp Details

This Data Science Bootcamp teaches the essentials of data science, like statistics, Python programming, data analysis, machine learning, deep learning, natural language processing, data visualization tools, and more.

Learning Path

  • Get started with the Caltech Data Science Bootcamp and explore everything about this comprehensive program that covers all the concepts, tools, and technologies you will need to kickstart your career in data science.

  • This Data Science Bootcamp starts with statistics and data science as a whole. In this course, you will learn how to define statistics and essential related terms, explain central tendency and dispersion measures, and comprehend skewness, correlation, regression, and distribution. The boot camp also covers programming basics, Python programming, Python installation and environments, and the different functions of Python.

  • This Data Science Bootcamp will establish your mastery of data science and analytics techniques using Python. In this bootcamp, you’ll learn the essential Python libraries required for data science. You will master machine learning concepts and algorithms, including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms that prepare you for your role with advanced machine learning knowledge.

  • This Data Science Bootcamp covers Tableau, which helps you understand how to build visualizations, organize data, and design charts and dashboards to empower more meaningful business decisions. You’ll be exposed to the concepts of data visualization, different combo charts and stories, working with filters, parameters, and sets, and building interactive dashboards.

  • At the end of the Data Science Bootcamp, you will do a capstone project that will allow you to implement the skills you learned throughout this bootcamp. You’ll learn how to solve a real-world, industry-aligned Data Science problem through dedicated mentoring sessions, from data processing and model building to reporting your business results and insights. The project is the final step in the learning path and will enable you to showcase your expertise in data science to prospective employers.

  • Master practical data-driven decision-making skills with the help of data analysis and statistics. In this Data Science Bootcamp, learn how to use the most common MS office tools available, Excel, to perform sophisticated data analysis and arrive at better business decisions.

  • Master SQL and improve your skills with this SQL crash course. Functional knowledge of SQL (Structured Query Language), the leading programming language for relational database management systems, is in high demand and can set you apart in the job market.

  • This Power BI course will help you leverage valuable features like Microsoft Power BI Desktop layouts, BI reports and dashboards, Power BI DAX commands, and functions. You will explore how to experiment, fix, prepare, and present data quickly and easily.

  • Attend live online masterclasses conducted by renowned instructors from Caltech CTME. Understand the latest trends in the field of data science with this masterclass.

  • The purpose of project hours is to help you clarify any questions or concerns you may have about projects you've completed thus far.

  • Experts will respond to any questions or concerns you may have regarding the course material in this program.

Skills Covered

  • Exploratory Data Analysis
  • Descriptive Statistics
  • Inferential Statistics
  • Model Building and Fine Tuning
  • Supervised and Unsupervised Learning
  • Ensemble Learning
  • Deep Learning
  • Data Visualization

Tools Covered

Microsoft ExcelpythonNumPyMatPlotlibSciPyScikitLearnpandasSeaborntensorflowtableauMySQLFSD

Industry Projects

  • Project 1

    Sales analysis for apparel company

    Utilize Python to analyze a clothing company’s sales data for Australia, and state by state help the company make data-driven decisions for the coming year.

  • Project 2

    Employee performance analysis

    Create ML programs to understand different factors for employee turnover. Perform different machine learning techniques for performance, and suggest employee retention strategies.

  • Project 3

    Classification of songs for audio streaming platform

    Perform exploratory data analysis and perform cluster analysis to create cohorts of songs. The classification would help to create an efficient recommendation system.

  • Project 4

    Creation Interactive Sales Dashboard for OEM

    Create an interactive Sales Dashboard for an apparel OEM in Tableau for the Sales department to use for ad-hoc analysis and reporting.

  • Project 5

    Crime Analysis with Tableau Dashboard

    Prepare a dashboard to keep the police department and the city updated on the statistics of crime events. You are required to create a dashboard/story using tableau.

  • Project 6

    Marketing Strategies with Exploratory Data Analysis

    Perform exploratory data analysis and hypothesis testing. The goal is to gain a better understanding of the various factors that contribute to customer acquisition.

  • Project 7

    Develop Ecommerce app with Python

    Develop an e-commerce app on the Python platform that could categorize, add or remove items from the cart and support different payment options

  • Project 8

    Weather Prediction

    Create a classification model from ten years of rainfall data to predict the weather for different locations across Australia

  • Project 9

    Credit Card Fraud Analysis

    Utilize data science and machine learning methodologies to identify fraudulent credit card transactions so that the end customers are not wrongly charged.

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.


Program Advisors

  • Rick Hefner

    Rick Hefner

    Caltech CTME, Program Director

    Dr. Rick Hefner serves as the Program Director for Caltech’s CTME, where he develops customized training programs for technology-driven organizations. He has over 40 years of experience in systems development and has served in academic, industrial, and research positions. 


Career Support

Simplilearn Career Assistance

Simplilearn’s Career Assist program, offered in partnership with Talent Inc, is a service to help you to be career ready for the workforce and land your dream job in U.S. markets.
One-on-one Interview Service by TopInterview

One-on-one Interview Service by TopInterview

Get a Resume Makeover from TopResume

Get a Resume Makeover from TopResume

Reach numerous employers with ResumeRabbit

Reach numerous employers with ResumeRabbit

Complete Candidate Confidentiality Assured

Complete Candidate Confidentiality Assured

Join the Data Science industry

Data Science and Artificial Intelligence are amongst the hottest fields of the 21st century that will impact all segments of daily life by 2025, from transport and logistics to healthcare and customer service.

Job Icon28%

Annual Job Growth By 2026

Source: Market Research Rpt
Job Icon11.5 M

Expected New Jobs For Data Science By 2026

Source: US bureau of Labor
Job Icon$86K - $157K

Average Annual Salary

Source: Glassdoor

Batch Profile

Data Science Bootcamp caters to working professionals from a variety of industries & backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Information Technology - 41%Consulting - 20%Manufacturing - 8%Pharma & Healthcare - 8%BFSI - 8%Others - 15%
     course learners from Citigroup, New York City
     course learners from PricewaterhouseCoopers, New York City
     course learners from Tata Consultancy Services, New York City
     course learners from Abbott, New York City
     course learners from Bosch, New York City
     course learners from GE Aviation, New York City
     course learners from Accenture, New York City
     course learners from Ernst & Young, New York City
     course learners from VMware, New York City
     course learners from Amazon, New York City
     course learners from Nvidia, New York City
     course learners from Dell, New York City

Learner Reviews

Admission Details

Application Process

The Data Science Bootcamp application process consists of 3 steps. An admission offer will be made to the selected candidates & accepted by the candidates paying the admission fee.


Submit Application

Tell us a bit about yourself & why you want to do Data Science Bootcamp


Application Review

An admission panel will shortlist candidates based on their application



Qualified candidates can accept the offer by paying the Bootcamp fee

Eligibility Criteria

For admission to this Data Science Bootcamp, candidates should have:

At least 18 years and have a High School Diploma or equivalent.
Prior knowledge or experience in programming and mathematics
Preferably 2+ years of formal work experience

Admission Fee & Financing

The admission fee for this Data Science Bootcamp is $ 8,000

Financing Options

We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.

Pay in Installments

You can pay monthly installments for Post Graduate Programs using Splitit, Affirm, ClimbCredit or Klarna payment option with low APR and no hidden fees.


Other Payment Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

$ 8,000

Apply Now

Program Benefits

  • Complete this Data Science Bootcamp while you work
  • Rigorous curriculum designed by industry experts
  • Caltech CTME Circle Membership
  • Receive up to 14 CEUs from Caltech CTME
  • Active recruiters include: Amazon, Google, Microsoft.

Program Cohorts

Next Cohort

    • Date


      Batch Type

    • Program Induction

      7 Jun, 2023

      10:00 CDT

    • Regular Classes

      17 Jul, 2023 - 17 Dec, 2023

      20:00 - 23:00 CDT

      Weekday (Mon - Thu)

Got questions regarding upcoming cohort dates?

Data Science Bootcamp FAQs

  • What’s a Data Science Bootcamp?

    There are as many online IT-related bootcamps as professionals across disciplines need to stay up to date with today’s rapidly changing technologies. Bootcamps provide a new way to learn IT-related skills, and are offered in a more short-term, immersive experience than traditional educational settings. Ultimately, the bootcamps teach hopeful IT professionals the skills they require for a career in their preferred field.

    The typical bootcamp lasts between six weeks to 24 months, although most programs run from 12 and 40 weeks. Bootcamps deliver intensive learning coupled with great speed—after all, there is a lot of information to absorb, and time is limited! As a result, bootcamps limit instruction to the data science skills that are most relevant and needed for the position that the student is interested in getting. You don’t go to a programming bootcamp expecting to learn how to do cloud-based backups, for instance.

    The better bootcamps provide an intense, accelerated learning experience coupled with hands-on data science projects that let students practice applying their newfound skills and knowledge. Also, they help their graduates find jobs in their chosen field—a huge advantage in super competitive areas.

    You can find all kinds of bootcamps. Since the hallmark of a good bootcamp is flexibility and accessibility for students, they are broken down into two main types, each specially suited to accommodate a different student situation:

    • Part-Time Bootcamps
      Part-time bootcamps run approximately 30 weeks (give or take) and are ideal for people with busy schedules—which usually means that they have a job. These camps typically require a weekly commitment of about 20 hours, done via the internet or a physical location, depending on the bootcamp. Part-time bootcamps also pose less of a strain on the student’s financial resources. Although this camp doesn’t ask for much time and money, it takes longer to complete. There had to be a catch, right?
    • Full-Time Bootcamps
      If you want an intense learning experience, look no further. Full-time bootcamps typically ask for a commitment of up to 80 hours per week over a two to seven-month period, averaging approximately 17 weeks. Full-time camps offer a fully immersive learning experience, and come with a correspondingly higher cost. Luckily, if you’re taking classes to help you perform better at your job, your company may absorb some or even the entire cost. But be warned: if you decide on a full-time bootcamp, then that’s your life for the camp’s duration. Don’t plan on working a full-time job simultaneously.

    Bear in mind that the time figures aren’t set in stone, nor are they the same for every bootcamp offered. For instance, one specific bootcamp offers part-time at six hours per week for 10-12 weeks, and full-time at 40 hours a week for 10-12 weeks.

    Besides the full-time/part-time dichotomy, there are the questions of where you attend bootcamp and how you participate in it. Your choices are:

    • In-Person
      You physically attend the coding bootcamp. You take organized, structured classes at a given location. You have access to a teacher to assist you if things get rough. If you prefer structure and keeping your academic life separate from the rest of your life, this is the best choice, assuming you have the time to participate. Examples of in-person camps include, Betamore, Data Engineering Bootcamp, and The Data Incubator.
    • Online
      If you would rather learn at home and have the self-motivation and discipline to see it to completion, choose an online coding bootcamp. You will have access to all the necessary online course materials and instructors, and a large, supportive online student community. Online bootcamp offerings include Dataquest, Datacamp, and Statistics.com.
    • Self-Paced
      The last word in informal, flexible education, the self-paced model enables you to learn and work whenever you feel like it. You get assigned the curriculum, and then you decide how and when you will tackle it. Simplilearn is a good example of a self-paced education provider.

    Considering that data science is the study of data using algorithms, scientific methods, and programming skills to extract meaningful insights and knowledge from any structured or unstructured data, then obviously, a data science bootcamp teaches you how to perform these tasks easily.

    But seriously, if you’re looking for a career in data science, you need to gain an understanding of popular data science tools, and develop the required skills. Best Data science bootcamps, supplemented with extra online courses, will get you where you want to be.

    A data science bootcamp teaches you things like:

    • Cleaning and transforming data using some form of data frames
    • Importing libraries
    • Programming languages such as Python or R
    • Training and evaluating models
    • Using databases
    • Leveraging statistics
    • Learning how to apply the most important Machine Learning (ML) domains such as:
      • Awareness of big data tool sets
      • Classification
      • Neural networks
      • NLP/Naive Bayes
      • Regression
      • Supervised and unsupervised learning
      • Time series

    The more intensive bootcamps, normally the full-time ones, offer more practice, more live instructor training and interaction, more coding, and more hands-on projects. This is hardly surprising, considering the intensity of full-time bootcamp training.

  • Is it worth attending Data Science Bootcamps in NYC?

    Yes, attending a Data Science bootcamp in NYC can be a great way to learn the skills you need to become a data scientist or to upskill in this field. Students can learn from anywhere globally with online bootcamps, which is especially convenient for working professionals.

    Simplilearn's Data Science Bootcamp in NYC is an excellent choice for anyone looking to pursue a career in data science or data analytics. The program's comprehensive curriculum, hands-on learning approach, expert instructors, flexibility, and career support services ensure that students are well-equipped to enter the data science industry with confidence. The Bootcamp covers a diverse range of topics such as statistics, machine learning, deep learning, data visualization, and more. Simplilearn also offers career support services like resume building, interview preparation, and job placement assistance to assist students in transitioning into a data science career.

    The bootcamp employs a hands-on learning approach, which enables students to apply what they have learned in real-world scenarios through practical projects and assignments. Furthermore, Simplilearn's instructors are experienced professionals in the data science industry who bring knowledge and expertise to the classroom, providing students with practical advice.

  • Data Scientist Bootcamp vs a Master’s Degree: Which is better?

    While there is undoubtedly more prestige in getting your Master’s degree in data science, it’s not for everyone. Yes, when you complete your studies, you have a Ph.D. in data science, and that degree will open doors. But the amount of time and expense involved is a huge burden, and if you’re still paying off student loans from your undergraduate (Bachelor’s or Associate’s) degree, then taking on more debt could be problematic.

    If you’ve already earned a Master’s degree, then going for a Ph.D. may seem excessive. However, if you’ve mapped out a career path in data science that includes obtaining a Bachelor’s, then a Master’s in data science and its related fields of study, go for it.

    For those who may not have even known that a career in data science was an option, the data science bootcamp in NYC is the perfect choice.

    As a final note, bear in mind that merit or skilled-based hiring is slowly supplanting degree-based hiring. Why go through all the hassle of earning a degree when you can gain the specialized training you need through an online Data Science Bootcamp in NYC?

  • How do I pick the Data Science Bootcamp in NYC that’s best for me?

    So you’ve decided to go the Data Scientist Bootcamp route. Good for you! But what comes next? There are so many bootcamps to choose from. How do you find the best fit for you? Keep these simple tips in mind, and you can’t go wrong:

    • Create Your Career Goals
      Do you have a timeline? Are you looking to start a data science career immediately after you finish the bootcamp? Where do you want your career to be several years from now?
    • Figure out Your Budget
      Bootcamp prices vary, so you need to take stock of your finances and see what you can afford. Does the bootcamp offer financing options? And if so, are you ready to take on more debt?
    • Figure Out Your Schedule
      Are you working full-time? Are you going to have enough time and energy after a long day of work to devote to your new studies? Are there any non-work obligations that may prove to be an obstacle?
    • Figure Out Yourself
      Do you like getting taught in a slow, measured, gradual fashion, or do you prefer undergoing intense training for a shorter period, thereby getting it over with sooner?
    • Find Out Where the Bootcamp is Held
      If you’re going to attend the bootcamp in-person, it’s probably a good idea to make sure it’s somewhere close by. Many of the larger learning institutions hold bootcamps in multiple cities. Is one close to you?
    • Decide What Aspects of Data Science Appeal to you the Most, and Shop Around
      Not all bootcamps operate the same way. For instance, some give more time to programming languages, while others barely touch the subject. Check out different curricula and see which ones give more attention to the things you especially want to know.
    • Read Testimonials and Other Online Resources
      Many bootcamp websites have recommendations and testimonials from previous attendees. You can also check out entries on Reddit or Quora.
    • Check Out the Prerequisites
      Maybe the bootcamp you want has specific requirements you must meet before signing up.

  • How to Become a Data Scientist in NYC?

    We’ve discussed Data Science Boot Camp and touched upon Master’s degrees, but you should consider a third option. Simplilearn has a comprehensive selection of online courses available for the would-be data scientist.

    Begin with Simplilearn’s data science tutorial. This starting tutorial is a great way to ease into the vast and complex world of data science. After completing the tutorial, build on what you’ve learned by taking additional courses such as data analytics, artificial intelligence, and Power BI.

    A data scientist can’t have too much knowledge or too many skills, and the previous courses will flesh out your data science skills and prepare you for greater things.

    Finally, you’re ready for the most comprehensive of Simplilearn’s Data Science Bootcamp in collaboration with Caltech CTME.

    You can get broad exposure to key concepts and tools from Python, R to Machine Learning, and more with the Data Science Bootcamp NYC in partnership with Caltech CTME, and featuring the perfect mix of theory, case studies and extensive hands-on practicum.

    According to Indeed, data scientists can earn an average of USD 121,684, hitting over USD 140K after gaining three to five years of work experience.

    Simplilearn offers you a smoother, more cost-effective way of attaining your data scientist goals. Check them out today and take the first steps toward that new career!

  • In what ways do Data Science Bootcamps in NYC work?

    Data Science Bootcamps are intensive training programs that aim to provide individuals with the skills and knowledge needed to enter the field of data science. Some of the best Data Science Bootcamps are designed to provide hands-on experience with data science tools and techniques and help individuals develop a strong foundation in programming languages such as Python and R.

    Simplilearn’s Data Science bootcamp includes live online classes, self-paced learning, and interactive sessions with industry experts, providing students with a comprehensive learning experience. Simplilearn's online data science bootcamp also includes real-world projects and case studies, allowing students to apply their newly acquired skills to practical problems. This approach helps to build confidence and improve critical thinking skills, enabling students to tackle complex data science challenges. The program also includes personalized career guidance and support, including resume building, interview preparation, and networking opportunities, helping students to transition into their desired data science roles.

    Data Science Bootcamps NYC like Simplilearn offers a fast-paced and immersive learning experience that equips individuals with the necessary skills and knowledge to pursue a career in data science.

  • What are the eligibility criteria for this Data Science Bootcamp NYC in collaboration with Caltech CTME?

    For admission to this Caltech Data Science Boot camp in NYC, candidates should have:

    • At least 18 years and have a High School Diploma or equivalent.

    • Prior knowledge or experience in programming and mathematics

    • Preferably 2+ years of formal work experience

  • Who is the Data Science Bootcamp in NYC ideal for?

    Professionals eager to develop expertise in Data Science with the objective of: 

    • Enhancing effectiveness in their current role
    • Transitioning to Data Science roles in their respective organizations
    • Seeking to advance their career in the industry
    • Giving shape to entrepreneurial aspirations

  • Is there any financial aid provided?

    To ensure money is not a barrier in the path of learning, we offer various financing options to help ensure that this Best Data Science Bootcamp in NYC is financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.

  • What should I expect from the Caltech Data Scientist Bootcamp in NYC?

    As a part of this Data Scientist Bootcamp in NYC, you will receive the following:

    • Caltech CTME program completion certificate

    • Receive up to 14 CEUs from Caltech CTME

    • Masterclasses delivered by distinguished Caltech faculty

    • Caltech CTME Circle Membership

    • Online convocation by Caltech CTME Program Director

    • 25+ Integrated hands-on projects sessions along with live sessions

    • Access to integrated online labs

    • Capstone projects in 3 domains

    • Simplilearn’s Career Assistance helps you get noticed by top hiring companies

    • 8X higher interaction in live online classes by industry experts

  • What certificate will I receive after completing this Data Science Boot Camp in NYC?

    Upon successful completion of this Data Science bootcamp in NYC, you will be awarded a program certificate of completion by Caltech CTME.

  • Will any preparation material be provided to help me get started?

    Once you make the first installment of the fee for this Data Science Bootcamp in NYC, you also will get access to a preparatory course. You will have to go through the assigned course before coming for the first class, which consists of self-paced learning content in the form of videos.

  • How long does it take to complete this Data Science Bootcamp in NYC with Caltech CTME?

    This Best Data Scientist Bootcamp in NYC could be completed according to your schedule but the anticipated time to complete the overall material of the program is 6 months.

  • Is this Bootcamp really 100% online? Do I need to attend any classes in person?

    This Data Science Bootcamp in NYC is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings, and assignments anytime and anywhere via the web or your mobile device.

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls. We have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your Data Science Bootcamp in NYC with us.

  • If I want to cancel my enrollment, can I get a refund?

     In case you wish to cancel your enrollment and apply for a refund, you have to raise a refund request within 7 days of the first online live class held for the program whether attended by you or not. Your refund entitlement is void if you have either attended an Online Live Class or if you have received recordings for one or more live classes or if you have accessed more than 25% of the content of any e-learning course module or if you have downloaded any e-book. Notwithstanding the above, the booking fee paid by you towards securing your seat in the program shall be non-refundable under all circumstances. You have to raise requests for a refund only with Simplilearn

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in Data Science Bootcamp on your first attempt. They proactively engage with students to ensure adherence to the learning path—helping to enrich their learning experience, from class onboarding to project mentoring and career assistance.

  • I am not able to access the Caltech CTME Data Science Bootcamp in NYC. Who can help me?

    Contact us using the form on the right side of any page on the Simplilearn website, select the Live Chat link, or contact Help & Support.

  • Can I get a sealed transcript for World Education Services (WES) at the end of the bootcamp?

    Post Graduate Program are certification programs and do not include any transcripts for WES, this is reserved only for degree programs. We do not offer sealed transcripts and hence, our PG programs are not applicable for WES or similar services.

  • How do I benefit from weekly capstone projects?

    The weekly capstone sessions help you implement the concepts learned from the live Data Science Bootcamp classes in NYC in a real-world business use case to ensure you understand the concepts. These projects will help you showcase your new data science skills.

  • Is it mandatory to watch OSL videos before attending the live classes?

    It is not mandatory to watch OSL videos before live sessions. However, it will help you grasp the preliminary concepts faster.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.