Self-paced. Most complete in 2-4 months.
from 43 countries.
Our students love us!
Why should you sign up for Foundations of 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.
Communicate effectively with all stakeholders by telling a story with data.
Clean and analyze large datasets to make data-driven decisions.
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 achieve your goals in Data Science. They show me that there are data scientists doing amazing things, and that I could 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, by analyzing skills required in entry-level data science jobs. It includes 40+ hours of projects.
Every student must complete a Captone 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.