Data Analysis Process

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01. Introduction
02. Problems Solved by Data Analysts
03. Data Analysis Process
04. Setting Up Your System
05. Intro to CSVs
06. CSVs in Python
07. Fixing Data Types
08. Questions about Student Data
09. Investigating the Data
10. Problems in the Data
11. Missing Engagement Records
12. Checking for More Problem Records
13. Tracking Down the Remaining Problems
14. Refining the Question
15. Getting Data from First Week
16. Indulge Curiosity
17. Exploring Student Engagement
18. Debugging Data Analysis Code
19. Lessons Completed in First Week
20. Number of Visits in the First Week
21. Splitting out Passing Students
22. Comparing the Two Student Groups
23. Making Histograms
24. Are your Results Just Noise?
25. Correlation Does Not Imply Causation
26. Predicting Based on Many Features
27. Communication
28. Improving Plots and Sharing Findings
29. Data Analysis and Related Terms
30. Conclusion
31. Quiz Solutions

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05. Intro to CSVs

Intro to CSVs

INSTRUCTOR NOTE:

Data Wrangling

If you'd like to learn more about data wrangling, check out the Udacity course Data Wrangling with MongoDB.

Learn Udacity: click here to learn more :)