Hypothesis-based versus data-driven analysis
“Only those data analysts who are given time to explore and analyze data thoughtfully and thoroughly are consistently successful.”
Data Identification and Prioritization
Use Augmented data besides Data Pipeline
Analytics Sandbox
Characterizing the Data—Exploring a Single Variable
Data: Descriptive analysis options
Find: Distribution of quantitative variables
Reference: [1]. Gregory S. Nelson. The Analytics Lifecycle Toolkit: A Practical Guide for an Effective Analytics Capability, John Wiley & Sons © 2018
Data Analytics, Machine Learning
Data Analytics, Machine Learning, Data Science
