About
Most participants watch the videos at 1.5x speed. Prerequisites: None Duration: 17 hours, 4 minutes Course Description: Comprehensive lessons on data manipulation, multi‐level DataFrames, custom functions, and package management. Perfect for real-world energy data analysis. The course teaches fundamental Python programming for energy data analysis, progressing from essential data manipulation techniques to advanced concepts like multi-level dataframes, custom functions, and package management, equipping you with what you need for professional energy data analysis.
Overview
2. Interacting with data from external sources.
.22 steps
3. Important operations with the dataframe index
.5 steps
4. Important List operations
.21 steps


