Self-paced. Most complete in 2-4 months.
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Why should you sign up for Data Science Intensive? (2m11s)
Becoming a senior data scientist takes more than just mastering basic skills like statistics, data wrangling, and visualization. You will need to develop one area of technical analytic expertise (e.g. machine learning), while being conversant in many others.
Implement advanced data science concepts like machine learning and inferential statistics.
Build data products that integrate with production-grade software.
Apply for many data scientist jobs (with a portfolio to show).
Participate successfully in Kaggle competitions.
You'll join an engaged, global community, and network with data science experts.
Work on 10 real-world projects to practice Python programming, inferential statistics, data wrangling, and machine learning.
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.
The workshop allowed me to fill the gaps in my skills and find a job as a data scientist at a company that was my top choice.
Dario works at
When you are trying to transition into a new field, building out a network is really crucial. Springboard offers an inspiring community of peers and mentors with a passion for continuous learning.
Barath works at
The coursework is valuable and easy to follow, and I found the capstone project work and weekly mentor calls and ongoing interactions to be the best part of the program.
Khaled works at
With your weekly mentor call, you’ll get to
Our world-class mentors are hand-picked for their experience and love of teaching.
Lead Data Scientist
Senior Data Scientist
Head of Data Science
Our 120-hour extensive, tailored curriculum includes 60+ hours of project work.
A data story is a powerful way to present insights to your clients, combining visualizations and text into a narrative. But storytelling is an art, and needs creativity. Get started by defining some interesting questions you can ask of your dataset, and learning plotting techniques you can use to reveal insights.
The Capstone Project is designed to provide you with the experience of working in a realistic data science scenario. With your mentor, you'll pick a data set and a problem of interest. From the end-to-end, your project will be targeted to a specific client (real or imaginary). Using techniques you've learned, you'll come up with a reasonable solution, and learn to present it as a compelling story.
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We're not going to pretend that this course is easy. This is a serious commitment with real rewards.
The good news? We've helped thousands of engineers, grad students, and analysts advance their career in Data Science.
You commit to put in the hard work and time. 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.