Self-paced. Most complete in 2-4 months.
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Why should you sign up for Intermediate Data Science: Python? (1m59s)
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 for data science, 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 140-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.
Our courses are designed to be flexible and self-paced. The average time to completion for the Intermediate Data Science course is three months. However, individual paces vary. If you don’t love the course after the first week, we offer a full refund.
You’ll pay a $499 monthly subscription for each month you’re enrolled in the course. The 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 120+ 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 her 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 the students who complete the workshop and successfully complete the final project.
All our courses take place entirely online. All you need is an Internet connection.
You should have a strong background in probability and statistics and should also be very comfortable programming in at least one language. If you do not meet these requirements, please check out our Introduction to Data Science course instead.
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.