Earn a Data Science Bootcamp certificate and up to 14 CEU credits from Caltech CTME
Obtain industry-recognized IBM certificates for IBM courses and masterclasses by IBM
Experience an exclusive visit to Caltech’s Robotics Lab
25+ hands-on projects across industry verticals with integrated labs
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.
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.
Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds. The contributions of Caltech have earned international recognition, including 38 Nobel Prizes. This Data Science Bootcamp includes master classes taught by distinguished Caltech CTME instructors.
IBM is one of the leading innovators in Data Science and infuses this program with industry relevant, hands-on training
Simplilearn Career Service, powered by Talent Inc. helps to enable you to navigate career changes and get ready for the professional workforce.
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.
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
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.
An automobile company wants to reduce the time it spends on the test bench. Build and optimize the ML algorithm to achieve this.
An ecommerce company offers product recommendations based on customer activity and the buying habits of other shoppers. Help improve the recommendation engine.
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.
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.
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.
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.
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.
for Data Science jobs by 2026
Expected new Data Science jobs by 2026
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.
Tell us a bit about yourself & why you want to do Data Science Bootcamp
An admission panel will shortlist candidates based on their application
Qualified candidates can accept the offer by paying the Bootcamp fee
For admission to this 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
We have a team of dedicated admissions counselors to guide you as you apply to Data Science Bootcamp. They are available to:
The admission fee for this Data Science Bootcamp is $ 8,000
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.
You can pay monthly installments for Post Graduate Programs using Splitit, Affirm or ClimbCredit payment option with low APR and no hidden fees.
We provide the following options for one-time payment
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:
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:
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:
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.
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?
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:
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 courses in collaboration with IBM. This offers six key courses in data science, providing you with over 30 in-demand skills and tools and more than 15 real-life projects.
You can get broad exposure to key concepts and tools from Python, R to Machine Learning, and more with the Data Science Bootcamp Program in partnership with Purdue University in collaboration with IBM, 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!
For admission to this Caltech Data Science Bootcamp, candidates should have:
Professionals eager to develop expertise in Data Science with the objective of:
The admission process for this Caltech Data Science Bootcamp consists of 3 simple steps:
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.
As a part of this Data Science Bootcamp, you will receive the following:
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.
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.
The Bootcamp could be completed according to your schedule but the anticipated time to complete the overall material of the program is 6-8 months.
This course 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.
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.
No refund will be applicable once you make the partial/full payment
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.
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.
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.