01 - Introduction
Ex_Files_Python_Data_Science_EssT_Pt_1
02 - 1. Introduction to the Data Professions
03 - 2. Data Preparation Basics
04 - 3. Data Visualization 101
05 - 4. Practical Data Visualization
06 - 5. Basic Math and Statistics
-
02 - Basic linear algebra (6:17)
-
01 - Simple arithmetic (6:53)
-
03 - Generating summary statistics (9:46)
-
04 - Summarizing categorical data (12:25)
-
05 - Parametric correlation analysis (15:15)
-
06 - Non-parametric correlation analysis (13:25)
-
07 - Transforming dataset distributions (9:54)
-
08 - Extreme value analysis for outliers (11:05)
-
09 - Multivariate analysis for outliers (5:53)
07 - 6. Data Sourcing via Web Scraping
08 - 7. Collaborative Analytics with Plotly
09 - Conclusion
