1. Planning the Data Analysis
2. Managing the Data Analysis Project
3. Cleaning, coding, formatting, and structuring data
4. Running analyses in an efficient order
5. Checking assumptions & dealing with violations
6. Recognizing and dealing with data issues
7. Detecting problematic results and troubleshooting
8. Interpreting, Presenting, and Communicating Results
By KAREN GRACE-MARTIN
28 July 2020, 2.55pm
Contributor : Najjah Tohar
Tags:
Data Management