Data science course
This course teaches the basics for becoming a professional data scientist. Join now and earn ~$83,750 remotely in your first job after graduation.
Part-time
Money-back guarantee
Online
Our guarantee: job or 100% money back
82% grad employment rate
No IT or STEM background needed
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.
Get a relevant job in 6 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.
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What is Data Science?
Career paths
Data science is a fast-growing field. The U.S. Bureau of Labor Statistics (BLS) expects data science jobs to grow 36% between 2023 and 2033, much faster than other occupations. Here are some possible career paths after completing our data science course online:
More than 2,300 entry-level job openings in the United States, with ~10,000 openings at all levels
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.
Market statistics
$150
billion industry size as of 2024 and projected to reach $677 billion by 2034
Sources: Precedence Research
Skills you will learn
TripleTen’s data science course teaches many valuable skills, including:
Python+NLTK
Numpy
Pandas
Matplotlib
Jupyter Notebook
Scikit-learn
LightGBM
SQL
Keras
PySpark
Teamwork
Problem-solving
Time Management
Project Management
Adaptability
Python
SQL
R Programming
TensorFlow
Matplotlib
Jupyter Notebook
Scikit-learn
LightGBM
Numpy
Pandas
Keras
PySpark
Seaborn
Plotly
MLflow
The tech stack for our data science course includes a variety of essential tools and technologies:
Tech stack
We teach both the hard and soft skills needed for a successful data science career.
Data Science curriculum
8 months of career-oriented education
Updated every 2 weeks
Based on employer insights
This section of our full data science course provides the foundation for career advancement. Python is a popular programming language widely used in data applications, machine learning/AI, and building digital tools. In this module, you'll learn how to use Python for data analysis and to build predictive models.
Data Science has many facets. One of the most widely used is Machine Learning (ML), which involves teaching computers to find the best algorithms to perform specific tasks and creating models to make predictions and inferences about the real world.
Machine Learning builds on everything you've covered so far—stats, Python, and software engineering—to enable you to create intelligent systems. You'll cover supervised learning (including regression and classification models) and machine learning and apply your knowledge to real-world business projects.
Machine Learning builds on everything you've covered so far—stats, Python, and software engineering—to enable you to create intelligent systems. You'll cover supervised learning (including regression and classification models) and machine learning and apply your knowledge to real-world business projects.
Data science is always advancing—new tech is constantly being developed, and an amazing array of possibilities are opening up in the field. It's more than you can learn in a lifetime, but we'll make sure to take you through a curated selection of the most interesting data science advancements.
This module covers Time Series (handling data with a time dimension), Unsupervised Learning, Natural Language Processing, Neural Networks applied to Computer Vision, and more!
This module covers Time Series (handling data with a time dimension), Unsupervised Learning, Natural Language Processing, Neural Networks applied to Computer Vision, and more!
Creating a finished product. This part of the program is entirely practical, resulting in a real data science project.
Work with real projects
Join a team, get it done
Work with other students and a project lead to deliver what the client wants.
Put together a presentation. Meet with the partner company rep to receive live feedback.
Present your project directly to the client
Stack your portfolio and LinkedIn
Add the project to your portfolio and improve your attractiveness to potential employers.
During the course, you'll work with real-world, problem-solving projects that will be valuable to your portfolio and resume. We'll connect you with one of our 50+ employer partners to build a real-world project that increases your chances of landing a data science job.
real
Besample
Data marketplace for global research that makes data collection easy, affordable, responsible, and accurate. The Besample platform automates participant targeting, recruitment, and payment.
1/3
Supernova
An insurance agency founded by a team of seasoned industry leaders dedicated to innovation and efficiency with a broker-centric approach.
2/3
Boston Public Library
The first large free municipal library in the United States, and first public library to lend books. Today, the BPL features a central library and twenty-five neighborhood branches, serving nearly 4 million in-person visitors per year and millions more online.
3/3
TripleTen Data Science Course
Apr—Dec 2025
Education
Data Scientist
LinkedIn
GitHub
Hard Skills
Python+NLTK
Numpy
Pandas
Matplotlib
Jupyter Notebook
Your resume after TripleTen
Scikit-learn
LightGBM
SQL
Keras
PySpark
Soft Skills
Teamwork
Problem solving
Time Management
Project Management
Adaptability
$83,000
Expected salary
ML for Mining: Gold Recovery Prediction
40+ hours of coding in Python, using industry-standard ML libraries.
Projects
Our grads work at top companies
Certification
After completing the TripleTen part-time data science course, you’ll receive a certificate that’ll look great on your LinkedIn profile and resume, boosting your appeal to employers.
Reviews from alumni
Our Data Science Course grads have found success at companies like Discord, Tesla, Spotify, and more!
Before
Now
Biologist
Data Scientist
Before
Now
Before
Math Teacher
Data Scientist
Now
“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.”
Tourism Sales
“The course 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.”
Data Scientist
“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.”
Anthony
5 years expierence
Computer Vision Engineer
at a consulting company
Jorge
8 years expierence
Software Engineer at Bullhorn
Serge
12 years expierence
Dev Team Lead at Wolt
Mike
15 years expierence
Director of Data Science at Government
Andrew
7 years expierence
Software Engineer at a BigTech company
Max
7 years expierence
Senior Software Engineer at Republic Services
Our tutors have 5+ years of industry experience that enable them to teach up-to-date data engineering concepts and guide you through real-world projects.
Our tutors
Is the data scientist salary worth it? Spoiler: it does
$83,750
$119,000
$141,000
$199,000
Our grads’
starting pay
Median pay in 1–3 years
Median pay
in 4–6 years
In 7–9 years
Data Science ROE (Return on Education)
Book a call with our admissions advisor to learn more!
FAQ
It is a course that teaches the basics of data science, including programming, math, and advanced analytics. Our course dives deep into data science fields, including machine learning and AI, and includes real-world projects to prepare you for a professional data science career.
You'll learn how to manipulate data with the Python programming language, statistical analysis, machine learning fundamentals, and other relevant topics required to become a professional data scientist. Our course includes practical sessions to hone your skills and become an expert in data science.
Yes, you can take the course despite lacking previous programming experience. Our data science for beginners course includes introductory lessons for people with no coding backgrounds. These lessons will familiarize you with basic Python programming and math, which you’ll need for subsequent lessons.
The lessons covered in our data science online course include Python programming, machine learning, statistical analysis, artificial intelligence, and SQL database programming, among others. It covers the most relevant data science concepts in detail.
We offer a flexible learning environment that includes both pre-recorded video lessons and live sessions with expert data scientists. This combination empowers you to gain knowledge at your own pace.
No, you don’t need specialized software to complete the TripleTen data science course. You only need a PC with an active internet connection.
Yes, we frequently update our course content to keep up with rapidly changing data science trends. You’ll learn the latest data science tools and techniques that boost your attractiveness to potential employers.
Yes, each learning chapter includes a quiz to help students retain the learning material. Passing these quizzes is necessary to complete the data science course.
You’ll learn Python, R, and SQL. These are the primary languages for data mining, manipulation, visualization, and building predictive models.
Yes, our data science course includes project deadlines to keep students on track.
Yes, you can complete course modules at your own pace. The course is structured into multi-week sprints, but you can choose the hours to complete your coursework.
TripleTen students get lifetime access to course materials. You can always come back to refresh your knowledge while working as a professional data scientist.
You can add technical skills, including Python and SQL programming, statistical analysis, and data visualization, to your resume. You can also add soft skills like teamwork and effective communication.
You can apply for data scientist roles or related jobs like data analyst, data architect, or machine learning engineer.
This online course in data science includes real-world projects from our employer partners. After completing these projects, you can add them to your portfolio, demonstrating your skill at applying data science techniques to solve organizational problems.
Yes, TripleTen offers a refund if you don't get a job within 6 months of graduation. Several conditions apply: you must complete the data science course, including Career Prep and Career Acceleration, to qualify for a 100% refund.
