• Program Duration6 months
  • Learning FormatOnline Bootcamp
  • Program Fees
    $ 8,000

Program Highlights

  • Caltech Campus Immersion

    Caltech campus visit with planned tours of labs

    Lunch hosted by Caltech CTME Program Director

  • Learn from Great Educators

    Global Data Science experts lead training with industry-specific cases and applications

    Masterclasses delivered by distinguished Caltech instructors

  • Experiential Learning in a Cohort-based Bootcamp

    6 months of applied learning: 25+ hands-on projects with integrated labs

    Capstone projects in 3 domains to validate your skills across top company challenges

  • Simplilearn Career Service

    Strengthen your resume and get career guidance from industry specialists

    Attend mock interview sessions to help you ace the hard technical questions

Career Opportunities

    • Data Scientist

      A data scientist is a specialist who gathers massive data sets using analytical, statistical, and programming skills. They create data-driven solutions that are specific to an organization.

      Average Salaries
      USD84K-USD200KPer Annum
      Hiring Companies
      IBM
      Amazon
      Ernst & Young
      JP Morgan Chase
      Microsoft
    • Data Architect
    • Database Adminstrator

Our Alumni Work At

Netflix
Wells Fargo
Amazon
Hewlett-Packard
Facebook
Verizon

FOR ENTERPRISE

Looking to enroll your employees into this program ?

Hear it from our Alumni

Program Outcomes

Caltech Data Science BootcampCaltech Data Science Bootcamp
  • Program completion certificate from Caltech CTME
  • Earn up to 14 CEUs from Caltech CTME
  • Caltech CTME Circle Membership
  • IBM certificates for IBM courses

Program Curriculum

  • 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

Skills Covered

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

Tools Covered

tableau
MySQLFSD
tensorflow
NumPy
pandas
MatPlotlib
PowerBI
python
R
ScikitLearn
Mindmapping
SciPy

Industry Projects

    prevNext

    Program Advisor

    Total Program Fee

    Total Program Fee $ 8,000

    Pay in Installments

    As low as $ 704/month

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

    Eligibilty Criteria

    • Should be at least 18 years and have a high school diploma
    • May have a non-programming background
    • preferably 2+ years of formal work experience

    Best Suited For

    • Professionals with an analytical mindset
    • Transition into Data Science

    How to Apply

    • STEP 1Submit Application

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

    • STEP 2Application Review

      An admission panel will shortlist candidates based on their application

    • STEP 3Admission

      Qualified candidates can accept the offer by paying the Bootcamp fee

    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. 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 Science 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 Bootcamps 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 Bootcamp, candidates should have:

      • A bachelor's degree
      • Prior knowledge or experience in programming and mathematics
      • Preferably 5+ 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 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 Science Bootcamp?

      As a part of this Data Science 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?

      Upon successful completion of this Data Science Bootcamp, 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?

      The Data Science 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.

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    Founded in 1891, Caltech is a world-renowned science and engineering institute that marshals some of the world’s brightest minds and most innovative tools. The contributions of Caltech’s faculty and alumni have earned national and international recognition, including 45 Nobel Prizes and 71 National Medals of Science.
    Caltech CTME has chosen to team with Simplilearn to co-deliver these online professional programs. Simplilearn's award-winning immersive learning model delivered via live virtual classes focuses on applied learning to create immediate career impact. 

    Caltech and Simplilearn Collaboration