• Admission Date Announcing Soon
  • Program Duration 6 months
  • Learning Format Self-Paced Learning

Why Join this Program

Caltech's Academic Excellence

Caltech's Academic Excellence

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

IBM's Industry Expertise

IBM's Industry Expertise

Obtain industry-recognized IBM certificates for IBM courses and masterclasses by IBM

Campus Immersion

Campus Immersion

Experience an exclusive visit to Caltech’s Robotics Lab

Hands-on Experience

Hands-on Experience

25+ hands-on projects across industry verticals with integrated labs


Looking to enroll your employees into this program ?

Bootcamp Overview

The Caltech Data Science Bootcamp brings out the superiority of Caltech's academic eminence. The program covers critical Data Science topics like Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization tools through an interactive learning model with live sessions by global practitioners and practical labs.

Key Features

  • Exclusive visit to Caltech’s Robotics Lab
  • Masterclasses delivered by distinguished Caltech instructors and IBM experts
  • Caltech CTME Circle Membership
  • Earn up to 14 CEUs from Caltech CTME
  • Earn a Data Science Bootcamp certificate from Caltech CTME
  • Online convocation by Caltech CTME Program Director
  • Access to hackathons and Ask Me Anything sessions from IBM
  • 25+ hands-on projects across industry verticals with integrated labs
  • Simplilearn Career Service helps you get noticed by top hiring companies

Bootcamp Advantage

This Data Science Bootcamp leverages Caltech’s academic excellence and IBM’s industry prowess. 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
  • IBM Certificate

    Bootcamp in Collaboration with IBM

    • Industry-certified IBM certificates for IBM courses
    • Industry masterclasses delivered by IBM
    • Hackathons from IBM

Bootcamp Details

This Caltech Data Science Bootcamp familiarizes learners with the essentials of statistics and Python programming, followed by a deep dive into topics like Machine Learning, Deep Learning, and Data Visualization tools like Tableau and Power BI.

Learning Path

  • Learn to make data-driven decisions with this Data Science Bootcamp, built and delivered in partnership with Caltech CTME and IBM. Designed for working professionals, the program features masterclasses by Caltech faculty & IBM experts, with exclusive hackathons and Ask Me Anything sessions by IBM.

  • This Data Science Bootcamp starts with Statistics Essentials for Data Science that will enable you to define statistics—a foundational part of data science—and essential terms related to it, explain measures of central tendency and dispersion, and comprehend skewness, correlation, regression, and distribution. You will be able to make data-driven predictions through statistical inference.

  • Discover R programming with this Data Science Bootcamp. Learn how to write R code, utilize R data structures, and create your own functions.

  • Kickstart your learning by getting an understanding of the Python language and its libraries, and writing scripts using the Jupyter-based lab environment with this Python for Data Science.

  • Applied Data Science with Python provides a complete overview of Python's Data Analytics tools and techniques. In this Data Science Bootcamp, you’ll learn Python, which is a crucial skill for many Data Science roles. Acquiring knowledge in Python will be the key to unlocking your career as a Data Scientist.

  • This Data Science Bootcamp will make you an expert in Machine Learning, a form of Artificial Intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. You will master Machine Learning concepts and techniques, including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms.

  • This Data Science Bootcamp covers Tableau training which will help you gain a variety of skills in the powerful platform including building visualizations, organizing data, and designing dashboards.

  • At the end of the Data Science Bootcamp, culminate your new Data Science skills with a hands-on, industry-relevant capstone project bringing together every course into one portfolio-worthy capstone

  • 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 make sophisticated data analytics to arrive at business decisions.

  • Master SQL and improve your skills with SQL 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.

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

  • This Data Science Bootcamp covers the module of Deep Learning developed by industry leaders and aligned with the latest best practices. You’ll master deep learning concepts and models using Keras and TensorFlow frameworks and implement deep learning algorithms.

  • Caltech CTME Data Science Bootcamp Masterclass

  • Caltech Data Science Bootcamp Office Hours

  • Caltech Bootcamp Data Science Project Hours

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


Industry Projects

  • Project 1

    Mobility as a Service

    A transportation company wants to improve the accuracy of its fare prediction model. Help the firm choose the best data and AI technologies to build its next-generation model.

  • Project 2

    Automobile Manufacturing

    An automobile company wants to reduce the time it spends on the test bench. Build and optimize the ML algorithm to achieve this.

  • Project 3


    An ecommerce company offers product recommendations based on customer activity and the buying habits of other shoppers. Help improve the recommendation engine.

  • Project 4


    Predict accurate sales for a retail store chain considering the impact of promotional markdown events. Check the impact of macroeconomic factors like CPI and the unemployment rate.

  • Project 5


    A telecommunications company wants to improve customer experience by identifying and acting on problem areas that lower customer satisfaction, and are seeking recommendations.

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


Program Advisors

  • Rick Hefner

    Rick Hefner

    Caltech CTME, Executive Director

    Dr. Rick Hefner serves as the Executive 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

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 & Health Care - 8%BFSI - 8%Others - 15%
    Tata Consultancy Services
    GE Aviation
    Ernst & Young

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, 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

There are no cohorts available in your region currently

Got questions regarding upcoming cohort dates?

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.

  • 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 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?

  • How do I pick the Data Science Bootcamp 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?

    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 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!

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

    For admission to this Caltech Data Science Boot camp, 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 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

  • What is the admission process for this Data Science Bootcamp in collaboration with Caltech CTME?

    The admission process for this Caltech Data Science Bootcamp consists of 3 simple steps:

    • All interested candidates are required to apply through the online application form
    • An admission panel will shortlist the candidates based on their application
    • An offer of admission will be made to the selected candidates and is accepted by the candidates by paying the program fee

  • 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 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?

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

    • Caltech CTME bootcamp completion certificate
    • Receive up to 14 CEUs from Caltech CTME
    • Masterclasses delivered by distinguished Caltech instructors
    • Exclusive visit to Caltech’s Robotics Lab
    • Caltech CTME Circle Membership
    • Online convocation by Caltech CTME Program Director
    • Physical certificate from Caltech CTME (on request)
    • 25+ hands-on projects from the likes of Amazon, Walmart, Uber, and many more
    • Seamless access to integrated labs
    • Capstone projects in 3 domains
    • LevelUp session by Andrew McAfee, Principal Research Scientist at MIT
    • Simplilearn’s Career Assistance helps you get noticed by top hiring companies
    • Access to IBM hackathons and IBM Ask Me Anything Sessions
    • IBM certificates for IBM courses
    • 8X higher interaction in live online classes by industry experts

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

    Upon successful completion of this Data Science Boot Camp, you will be awarded a certificate of completion by Caltech CTME, along with IBM certificates for IBM courses, and industry-recognized certification from Simplilearn for courses in the learning path.

  • 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, 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 with Caltech CTME?

    This Best Data Scientist Bootcamp could be completed according to your schedule but the anticipated time to complete the overall material of the program is 6-8 months.

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

    This Data Science Bootcamp 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 with us.

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

    No refund will be applicable once you make the partial/full payment

  • 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. 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.

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