Introduction to Data Science
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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.
Introduction 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
- 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
- 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