This document provides an introduction to data science, noting that 90% of the world's data was generated in the last two years. It discusses the fields of computer science, business, statistics, and data science. It describes two types of data scientists: statisticians who specialize in analysis and developers who specialize in building tools. It also lists some popular programming languages and visualization tools used in data science like Python, R, and Tableau. Finally, it provides some tips for those interested in data science such as learning design, public speaking, coding, and finding value.

1. Intro to
Data Science

2. 90%
of the world’s data today
was generated in
the last 2 years
350k Tweets per minute
50k posts per minute
150k Emails per minute

3. Computer
Science
Business
Value
Statistics
Data Science

8. Statistician
Type A
Stats, Math, Physics, Econ
Domain Expertise
Basic Software Engineering
A is for Analysis

9. Developer
Type B
CS, IS, CE
Basic statistics background
Strong, efficient coders
B is for Building

10. Data Visualisation

11. Moves

14. Tools and Tips

15. Python R Scala
Matplotlib D3.js TableauBokeh

18. Tips
for those
interested in
Data Science
Learn good design
Practice public speaking
Always Be Coding
Nail your fundamentals
Learn to find Value

19. Thank You
ftbautista@talas.ph