Self-paced. Most complete in 2-4 months.
from 43 countries.
Our students love us!
Why should you sign up for Introduction to Data Science (1m54s)
Becoming a data scientist isn't easy. It takes more than just mastering skills like statistics, data wrangling, and visualization. You need to learn how to ask the right questions and weave a story around your findings.
Build a foundation in R programming and statistics.
Clean and analyze large datasets to make data-driven decisions.
Communicate effectively with all stakeholders by telling a story with data.
Be ready to apply for data analytics and junior data scientist roles, and take on freelance projects.
You'll join an engaged, global community, and network with data science experts.
Work on 7 real-world projects to practice R programming, statistics, data wrangling, exploratory analysis and visualization.
Each week, you get 30 min of 1-on-1 time with your personal mentor, an expert data scientist.
Interact with classmates and alumni in our private community. Attend weekly office hours for career advice.
I loved the flexibility of learning online combined with the benefit of having a mentor. It increased my learning speed enormously. I'd recommend Springboard to anyone looking to skill up in Data Science.
Raffael works at
Forget other online courses. With amazing mentors and a curriculum that doesn't waste your time, Springboard is the serious step into Data Science that you've been looking for.
Niraj works at
Springboard is a wonderful stepping stone to get to your goals in Data Science. They show you that there are people doing amazing things with data, and that you can be one of them too.
Sara works at
With your weekly mentor call, you’ll get to
Your mentor has years of experience and will share valuable industry insights.
Discuss deliverables, topics you are interested in, or career steps.
Our students love being inspired and motivated by their mentors.
Our world-class mentors are hand-picked for their experience and love of teaching.
Senior Data Scientist
Our 100-hour curriculum was designed by top data scientists, who analyzed skills required in entry-level data science jobs. It includes 40+ hours of project work.
Every student must complete a Capstone Project before they graduate. This provides the experience of working in a realistic data science scenario. Work with your mentor to pick a data set and a problem of interest, targeted to a specific client. Using techniques you've learned, you will formulate a solution and present it as a compelling story.
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Worried that you don't have a background in statistics or programming? Not sure if you'll have the time to learn
alongside your day job? No need to fret.
We have helped thousands of busy professionals develop data science skills and advance their careers.
From custom learning plans to resources to get you unstuck, we are committed to supporting you at every step, and
helping you succeed.
Time to graduate depends on your weekly commitment. On average, our graduates complete this course in 3 months.
Did you know that your employer might cover your course fees? Want materials to share with your manager or HR? Send us a note at email@example.com.
Our courses are designed to be flexible and self-paced. The average time to completion for the Introduction to Data Science course is three months. However, individual paces vary. You pay a $499 monthly subscription for each month you are enrolled in the course. This fee covers:
1. All curriculum materials and resources used in the course.
2. Weekly 1-1 video calls with your personal mentor.
3. Access to an exclusive community with expert mentors and fellow students.
4. Weekly Office Hours hosted by industry professionals.
5. All taxes and fees.
The total estimated workload is 100+ hours. However, you get to learn at your own pace and decide how many months it’ll take to complete those hours.
We work with industry experts to pick the best learning resources on data science and structure them into a systematic curriculum. Note that the individual resources need not be authored in-house, but are curated from the best in the field. We provide the glue that stitches everything together and fills gaps. We believe this is our unique strength because we stand on the shoulders of giants, instead of being restricted to in-house content. Think of us as a college professor who creates a curriculum with the most formidable book chapters, research papers, projects instead of teaching from only their own textbook.
You’ll interact 1-on-1 with your personal mentor every week in a 30-minute video call. Your mentor will help with technical and career guidance. They’ll also keep you accountable and help ensure that you actually complete the course.
Additionally, you’ll have access to weekly Office Hours and to an exclusive community of mentors and fellow learners. You can ask questions and receive project feedback through the mentor calls, Office Hours or the community.
We will provide certificates of completion to all students who complete the course and the final project.
All our courses take place entirely online. All you need is an Internet connection.
Some background in programming (basic familiarity with variables, functions, loops, etc in any language) is helpful. Other than that, beginners are welcome!
Absolutely! Many of our students have been sponsored by their employers. Most companies are very happy to invest in their employees' learning and development. Check with your employer if they can support your subscription fee from the annual learning budget given to each employee.