Data Science Bootcamp
Join our 8-month part-time Data Science Bootcamp to earn ~$83,000 remotely in your first job after graduation
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Award-winning online job training and support designed for your real life
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*Get a relevant job in 10 months or your tuition back when you complete our included Career Services package and make a good-faith effort to find a job. Details in our Terms of Use.
Data science is a field that combines statistics, advanced analytics, and programming to predict outcomes from raw, often unstructured, data. Data Scientists build predictive models, train AI, and create algorithms that find patterns in the noise of the world’s data.
and US Bureau of Labor Statistics
You after TripleTen
How you get a new career in 8 months:
Our grads get great jobs with both startups and industry giants
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Our immersive data scientist training will teach you to analyze and manipulate datasets and train Machine Learning models. You’ll learn how to use Python, Excel, and SQL databases to retrieve, analyze, manipulate, and build predictive models from datasets.
Download .pdfPython and Software Engineering for Data Science
This section provides the foundation for a data science career. Python is the most popular programming language for data manipulation and business intelligence, making it an essential part of a data scientist bootcamp. We’ll help you understand Python and write code for data manipulation tasks. You’ll also learn how to use Python to build data analysis and visualization models.
Hard Skills
- Python3
- Git and GitHub
- postgreSQL
- PySpark
- Numpy
- pandas
- Exploratory data analysis
- Statistical data analysis
Soft Skills
- Analytical and critical thinking
- Communication and teamwork
- Self-management
Machine Learning (ML)
Machine Learning (ML) is a crucial part of data science. You’ll learn to apply Machine Learning to generate insights from datasets and make predictions that will guide organizational decisions.
This module builds on your understanding of the Python programming language, statistics, and software engineering to enable the creation of intelligent systems. You’ll use Python code to create machine learning models for real-world business projects.
Hard Skills
- Supervised learning
- ML for business
Soft Skills
- Task management
- Business thinking and problem-solving
Neural Networks and Advanced Applications
Data science is a rapidly changing field. New tech is constantly being developed, so this module familiarizes you with the latest data science applications. It covers Time Series (handling data with a time dimension), Unsupervised Learning, Natural Language Processing, Neural Networks, and much more!
Hard Skills
- Matplotlib
- Algorithm analysis
- Time series
- ML for text
- Computer vision
- Deep learning
- Unsupervised learning
Final project
In this module, you’ll apply your knowledge to create a real-world data science project and make your final presentation. This will help you build the skills and confidence to become a professional data scientist.
Free bonus course
for new students
Free
Computer Literacy
“Not a tech person”? Don’t know a browser from an OS? Take this course to get up to speed! Learn how to use a computer and industry-standard apps so you’re ready to break into tech.
or pre-requisites.
with regular project
deadlines.
Build professional skills using industry-standard tools
Learn stats and coding, process datasets, and build Machine Learning models. Graduate with up-to-date skills that employers are looking for!
1-on-1 tutoring from industry professionals
Learn directly from the pros, with regular 1-on-1 sessions, daily office hours, and a deep webinar library.
Externship opportunities for experience and employer references
Apply to work on real-world projects for business clients! You’ll get a project to put in your portfolio, experience for your resume, and maybe even an employer review in your LinkedIn!
Get hired for a career-track role with our help
Lean on our career coaches and placement coordinators.
Practice interviewing with someone who’s interviewed hundreds of people. Polish your resume with someone who knows what employers look for.
Will I get a certificate?
Of course! It’ll look great on your resume and LinkedIn :-)
1,100+ TripleTen alumni. 80% from a non-STEM
background!
“Being able to talk with professionals quickly became my favorite part of the learning. Once you do that over and over again, it becomes more of a two-way communication. I would leave comments for my reviewer, my reviewer would reply to my comments, and then I would add extra questions. So, those code reviews became a way to show that I was actually progressing.”
“The bootcamp starts with simple Python manipulations and then goes into more complex math and statistics. So rather than jumping from article to article and trying to piece together what you don’t know, it’s great to have that progressive structure.”
“We had an interesting group. When I was learning, it was 50% men and 50% women, and there were all different ages and different people. We helped each other. We had a great discussion group and shared some interesting links. It was a great time for me.”
“They prepare you for a real career. They give you a taste of what your professional tasks will look like.”
Full story
“Most of the tutors are practicing data scientists who are already working in the industry. I know one particular tutor, he works at IBM. I’d always send him questions and stuff like that, and he would always reply, and his reviews were insightful.”
“Every sprint was a reward in itself when I learned something new. That gave me the confidence boost to keep going on to each and every sprint.”
“I found that data science is applicable across many industries. It almost feels like the things that you can do with data science have a sense of magic to them. You look at them and say, ‘Wow, how did that happen?’ and that's what drew me to it.”
“Being able to talk with professionals quickly became my favorite part of the learning. Once you do that over and over again, it becomes more of a two-way communication. I would leave comments for my reviewer, my reviewer would reply to my comments, and then I would add extra questions. So, those code reviews became a way to show that I was actually progressing.”
“The bootcamp starts with simple Python manipulations and then goes into more complex math and statistics. So rather than jumping from article to article and trying to piece together what you don’t know, it’s great to have that progressive structure.”
“We had an interesting group. When I was learning, it was 50% men and 50% women, and there were all different ages and different people. We helped each other. We had a great discussion group and shared some interesting links. It was a great time for me.”
“They prepare you for a real career. They give you a taste of what your professional tasks will look like.”
Full story“Most of the tutors are practicing data scientists who are already working in the industry. I know one particular tutor, he works at IBM. I’d always send him questions and stuff like that, and he would always reply, and his reviews were insightful.”
“Every sprint was a reward in itself when I learned something new. That gave me the confidence boost to keep going on to each and every sprint.”
“I found that data science is applicable across many industries. It almost feels like the things that you can do with data science have a sense of magic to them. You look at them and say, ‘Wow, how did that happen?’ and that's what drew me to it.”
“Being able to talk with professionals quickly became my favorite part of the learning. Once you do that over and over again, it becomes more of a two-way communication. I would leave comments for my reviewer, my reviewer would reply to my comments, and then I would add extra questions. So, those code reviews became a way to show that I was actually progressing.”
“The bootcamp starts with simple Python manipulations and then goes into more complex math and statistics. So rather than jumping from article to article and trying to piece together what you don’t know, it’s great to have that progressive structure.”
“We had an interesting group. When I was learning, it was 50% men and 50% women, and there were all different ages and different people. We helped each other. We had a great discussion group and shared some interesting links. It was a great time for me.”
“They prepare you for a real career. They give you a taste of what your professional tasks will look like.”
Full story“Most of the tutors are practicing data scientists who are already working in the industry. I know one particular tutor, he works at IBM. I’d always send him questions and stuff like that, and he would always reply, and his reviews were insightful.”
“Every sprint was a reward in itself when I learned something new. That gave me the confidence boost to keep going on to each and every sprint.”
“I found that data science is applicable across many industries. It almost feels like the things that you can do with data science have a sense of magic to them. You look at them and say, ‘Wow, how did that happen?’ and that's what drew me to it.”
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We also have a fair refund policy
After starting our Data Science bootcamp, you have 2 weeks to withdraw with a 100% refund. After that, you can get a partial refund on a transparent schedule. Check our Terms of Use for more info.
Part-time Data Science bootcamp schedule: whenever and wherever
Practice and improve your coding skills with line-by-line code review and personal feedback from your tutors
Learn Data Science the way you’d learn on the job—with detailed feedback and help from experienced Data Scientists.
Reach out to your learning coach to talk through any issues you encounter. Sometimes, we all just need to talk to someone...
You’re never alone—our tutors always have your back
Get work experience with a real Software Engineering project for one of our 50+ employer partners
Need experience to get a job, but need a job to get experience? We get it! Through your TripleTen bootcamp, you’ll connect with a real business client to build a real-world project to put on your resume.
Meet with the client company rep to receive live feedback.
and LinkedIn
“I liked that there real projects with real companies at TripleTen, and that you had to finish projects in a certain amount of time.”
Become a magnet for recruiters with a personal career coach and AI job-hunting tools
FAQ
Complete FAQWhat is Data Science?
As a data scientist, you’ll turn big data into bigger ideas and business strategies using today’s most advanced digital tools in data analytics, artificial intelligence, programming languages and more.
TripleTen’s Data Science Bootcamp prepares you to be a data scientist—with a skill set that lets you take your career goals beyond web development.
The TripleTen online coding boot camp experience is unique: in just eight months, part time, you’ll gain technical and data science skills in everything from basic statistics and Python to data analysis, AI, and machine learning.
How does the learning process work?
Self-paced practice on the TripleTen interactive platform, live feedback from tech professionals, help from our success managers and guidance from senior students make the “secret sauce” for your training journey. You’ll learn in sprints—two-week periods of work, with several tasks to complete by a deadline—which is the standard for most professional IT development. This helps make your transition from training to career more seamless.
Will I get a new job after graduation?
TripleTen boasts an impressive employment rate of 82% within six months of graduation, while more than half of our students receive attractive job offers within two months of graduating.
What if I don’t get a new job?
It does happen—but if you don’t get a new tech job within ten months of graduation, we will refund 100% of your TripleTen tuition.
Conditions do apply—to get your refund you have to:
- Complete the program, including Career Prep and Career Acceleration program.
- Actively participate in a job search, applying to relevant positions and going through interviews.
- Keep in touch with your career coach.
- Be a U.S. resident.
You can find more details in our Terms of Use.
What career services do you offer?
We prepare you for your job search using the highest standards and best practices in career coaching.
You will:
- Learn how to write a compelling resume and cover letter.
- Graduate with a show-stopping portfolio of real-life projects that demonstrate practical work experience.
- Put together a professional GitHub portfolio.
We will:
- Help you present your best self in tech and behavioral interviews.
- Provide you with soft skills training and make sure you feel confident in your new position.
- Send you a digest of positions and openings that are relevant to you
And just because you graduate doesn’t mean your TripleTen career services support stops. We provide graduates with post-offer support designed to help them succeed in the tech industry, including three career coaching sessions per year, depending on their needs. So, if you’ve transitioned into a new role or decide to return to the job search, we can help set you up for success with career advice and a career materials review.
Should I learn Data Science even if I don’t plan on becoming a Data Scientist?
Data science is the “source code” for careers that stretch beyond being a data scientist. It gives you a foundation in data analytics, AI technologies and research, natural language processing and much more. If you have career ambitions, you can give them a firm foundation with data science training.
What’s the best way to learn Data Science?
If you were expecting us to say the TripleTen Data Science Bootcamp…you’d be right. You’ll learn online, part-time, with tech industry teachers and tutors, gain real-world experience with real-life projects, and seamlessly transition into your first job with personalized career services and support.
Are Data Science bootcamps worth it?
Every penny and minute spent, if we and our graduates have anything to say about it. You’ll get out what you put in—and we’re not saying it’s going to be easy. If a career in any branch of data science is your goal—and you’re ready to commit and power through—then you’ll see the value in every step of your bootcamp journey. And beyond.
What backgrounds do the people that take this Data Science bootcamp have?
Overall, only 13% of TripleTen’s students across all disciplines came to us with a background in science, technology, engineering, or mathematics (STEM). Many of our grads started with us with no tech industry experience at all – nurses, retail workers, teachers, stay-at-home parents, college students and others. What they didn’t have in tech they made up with in the determination to take the leap and put in the work. And they didn’t go it alone – neither will you. We dedicate hours of support to our students, helping them get through the challenges of learning a new profession.
How much statistics and programming are required for the program?
The data science bootcamp “lobby” is where you’ll meet statistics and Python, the first programming language you’ll encounter, on your journey up the stairs to higher “floors” of learning. A firm understanding of both will set you up for data science success.
What is the difference between Data Science and Data Analytics?
That's a big question—and these invaluable answers can help clarify and demystify the murky waters you probably waded through to get here.
What programming languages are taught in the bootcamp?
Our data science bootcamp teaches various programming languages, mainly Python and JavaScript. You’ll learn both the theoretical and practical aspects of these programming languages, which are useful for building predictive models to guide organizational decision-making.
Can I attend the bootcamp if I am currently working full-time?
Yes, you can attend our bootcamp for data science if you’re currently working. We offer a part-time program that spaces the learning modules conveniently for people with full-time jobs.
What is the difference between a bootcamp and a traditional computer science degree?
Bootcamps are compact job-training programs that teach specific technical skills. In contrast, a computer science degree is (usually) a 4-year program that teaches the theoretical aspects of computing and provides a broader knowledge of computer programming.
The cost of a data science bootcamp is significantly lower than that of a 4-year computer science program. A bootcamp is a good option for people looking to switch careers to data science.
Will I work on real-world projects during the bootcamp?
Yes, you will work on practical, real-world projects while taking our data science classes online. Our tutors and code reviewers will guide you through making the right decisions and correcting mistakes when building real-world data science projects. They’ll also host online office hours and webinars, as well as guide you through externship projects. These are much like hands-on workshops that help you gain experience in a tech workplace.
How do I apply for the bootcamp and what is the selection process?
Apply for our online data science bootcamp by filling out the form on our website and booking a call.
What is the class size and how personalized is the instruction?
We offer a personalized learning experience that helps you gain knowledge at your own pace. You will have regular one-on-one online meetings with tutors, as well as frequent online office hours where you can drop in to ask a question. You’ll also have access to fast-response support in chat. Our best-in-class personalized instruction provides the kind of support you expect from in-person classes, remotely and on your schedule.
Will I be able to build a portfolio of Data Science projects?
Yes, our online data science camp includes real-world project-building sessions. Use these projects to fill out your professional portfolio.
How much time should I expect to dedicate per week to the bootcamp?
Expect to spend 15 to 20 hours weekly on your data science program. There are no rigid time slots; you can learn and practice at your own pace.
How do I know if Data Science is the right career path for me?
Data science is a great career path if you're naturally curious and analytical. It takes a certain amount of applied math and logic to become a data scientist. If you’re willing to learn the basics, you’ll be able to grasp big data fundamentals, even without a quantitative background.