Introduction Motivation (Big data & skills)

Question 1

Data Science Skill Set

Answer 1

Hacking
Machine Learning
Math and Statistics
Traditional Research
Substantive Expertise
Danger Zone

–> Data Science (Knowledge)

Question 2

Hacking

Data Science Skill Set

Answer 2

Hacking skills are necessary for working with massive amounts of electronic data that must be acquired, cleaned, and manipulated.

Question 3

Math and statistical learning

Data Science Skill Set

Answer 3

Math and statistical learning allows a data scientist to choose appropriate methods and tools in order to extract insight from data.

Question 4

Substitantive expertise

Data Science Skill Set

Answer 4

Substitantive expertise in a scientific field is crucial for generating morivating questions and hypothesis and interpreting results.

Question 5

Traditional research

Data Science Skill Set

Answer 5

Traditional research lies at the intersection of knowledge of math and statistics with substantive expertise in a scientific field

Question 6

Machine Learning

Data Science Skill Set

Answer 6

Machine Learning sterms from combining hacking skills with math and statistics knowledge, but dies not require scientific motivation

Question 7

Danger zone

Data Science Skill Set

Answer 7

Danger zone! Hacking Skills combined with substantive scientific expertise without rigorous methods can beget incorrect analysis.