3. The second wave in online education
Learning by doing Video based training (generic)
Languages Web dev Data Science
4. Scalability usually comes at the expense of personalization
Personalization
Scalability
One-on-one tutoring
Small classroom
Textbooks
Online videos
5. But technology enables personalization at scale
Personalization
Scalability
One-on-one tutoring
Small classroom
Textbooks
Online videos
6.
7.
8. Business model aligns incentives while optimizing cash flow
● Free beginner courses as acquisition channel
● Access to entire course library:
○ Consumer - $29 month / $ 300 year
○ Business - $300 per year per seat
● Courses built by external experts:
○ Curation by internal team
○ Investing in technology to make both curation and course development more efficient
○ Royalty for external instructors based on course completions
● Future: revenue streams in addition to content subscription (note: very valuable user base)
12. Online interactive education platform for data science
Subscriber base went 3.4x in last 12 months to ~ 21,500
Note: Subscriber base doubled in less than 4 months
13. Online interactive education platform for data science
Quarterly cash in went more than 5x in last 12 months to $1.7M
14. Online interactive education platform for data science
Course library grew by 3.2x to 70 in the last 12 months
Note: 45 courses in development by external experts
21. Debunking the myth - data science training is not and will not be a niche
● Let’s “define” data science in the broad sense:
We’re focusing on R, Python, stats, etc. right now.
Let’s also include e.g. include data analysis with Microsoft Excel, data savviness, etc.
● Some numbers:
○ R
■ RStudio has 2.4M daily active sessions (growth estimated at 40%+ yearly)
○ Python
■ Anaconda had 13M YTD downloads (growth larger than R)
○ Excel
■ 500M users
■ 400k+ yearly students on EdX
■ Switch to doing data analysis in excel as well as move to open-source
22. Acquisition breakdown (February 2017)
Note: The impact of paid is underestimated substantially in all likelihood, as we we attribute only clicks
23. 70 courses with best instructors from the R and Python community
24. Programming
Importing & Cleaning
Data
Data Manipulation
Data Visualization
Probability and Statistics
Machine Learning
Reporting
Electives
R Python SQL Spark
Technology
DataScience
Process
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