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DataCamp
Jonathan Cornelissen - Jonathan@datacamp.com - 857 498 4105
11/4/2017
BUILD THE BEST LEARNING
EXPERIENCE FOR
DATA SCIENCE
The second wave in online education
Learning by doing Video based training (generic)
Languages Web dev Data Science
Scalability usually comes at the expense of personalization
Personalization
Scalability
One-on-one tutoring
Small classroom
Textbooks
Online videos
But technology enables personalization at scale
Personalization
Scalability
One-on-one tutoring
Small classroom
Textbooks
Online videos
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)
PAST 12 MONTHS
Online interactive education platform for data science
Current growth at > 2,000 students per day
User base grew 2.6x in last 12 months to 908,000
Who’s learning data science?
70%Professionals
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
Online interactive education platform for data science
Quarterly cash in went more than 5x in last 12 months to $1.7M
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
Online interactive education platform for data science
Team grew by 3x in the past 12 months to 30
Online interactive education platform for data science
Team grew by 3x in the past 12 months to 30
Online interactive education platform for data science
Background in engineering, data science, marketing and education
● Founders: Jonathan Cornelissen (CEO), Martijn Theuwissen (CPO), Dieter De Mesmaeker (CTO)
● Nick Carchedi - Director of Course Development
○ Formerly McKinsey & JHU’s data science specialization on Coursera
● Ramnath Vaidyanathan - VP of Product
○ Formerly data scientist @ Alteryx, Prof. @ McGill University & McKinsey
● Weston Stearns - Director of Marketing
○ Formerly MFS investment and Statistics @ Harvard
● High-level team breakdown (total = 30):
○ Engineering: 15 (50%)
○ Course development: 8 (~27%)
○ Marketing (& Sales): 5 (~17%)
● Future key hires: CFO, HR manager, VP sales
NEXT 12 MONTHS
● Expand course library (also in terms of technologies)
● Improve authoring technology
● Focus on knowledge retention
○ Practice mode
○ Mobile application
● Assessment and certification
● Financial projections - see Excel file
Q&A
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
Acquisition breakdown (February 2017)
Note: The impact of paid is underestimated substantially in all likelihood, as we we attribute only clicks
70 courses with best instructors from the R and Python community
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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DataCamp investor pitch deck April 2017

  • 1. DataCamp Jonathan Cornelissen - Jonathan@datacamp.com - 857 498 4105 11/4/2017
  • 2. BUILD THE BEST LEARNING EXPERIENCE FOR DATA SCIENCE
  • 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)
  • 10. Online interactive education platform for data science Current growth at > 2,000 students per day User base grew 2.6x in last 12 months to 908,000
  • 11. Who’s learning data science? 70%Professionals
  • 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
  • 15. Online interactive education platform for data science Team grew by 3x in the past 12 months to 30
  • 16. Online interactive education platform for data science Team grew by 3x in the past 12 months to 30
  • 17. Online interactive education platform for data science Background in engineering, data science, marketing and education ● Founders: Jonathan Cornelissen (CEO), Martijn Theuwissen (CPO), Dieter De Mesmaeker (CTO) ● Nick Carchedi - Director of Course Development ○ Formerly McKinsey & JHU’s data science specialization on Coursera ● Ramnath Vaidyanathan - VP of Product ○ Formerly data scientist @ Alteryx, Prof. @ McGill University & McKinsey ● Weston Stearns - Director of Marketing ○ Formerly MFS investment and Statistics @ Harvard ● High-level team breakdown (total = 30): ○ Engineering: 15 (50%) ○ Course development: 8 (~27%) ○ Marketing (& Sales): 5 (~17%) ● Future key hires: CFO, HR manager, VP sales
  • 19. ● Expand course library (also in terms of technologies) ● Improve authoring technology ● Focus on knowledge retention ○ Practice mode ○ Mobile application ● Assessment and certification ● Financial projections - see Excel file
  • 20. Q&A
  • 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 ?