Exploratory data analysis
Visualization (for exploratory data analysis and reporting)
Dashboards and metrics
Find business insights
Data-driven decision making
Data engineering/Big Data (Mapreduce, Hadoop, Hive, and Pig)
Get the data themselves
Build data pipelines (logs→mapreduce→dataset→join with other data→mapreduce→scrape some data→join)
Build products instead of describing existing product usage
Hack
Patent writing
Detective work
Predict future behavior or performance
Write up findings in reports, presentations, and journals
Programming (proficiency in R, Python, C, Java, etc.)
Conditional probability
Optimization
Algorithms, statistical models, and machine learning
Tell and interpret stories
Ask good questions
Investigation
Research
Make inferences from data
Build data products
Find ways to do data processing, munging, and analysis at scale
Sanity checking
Data intuition
Interact with domain experts (or be a domain expert)
Design and analyze experiments
Find correlation in data, and try to establish causality引自第282页