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- Course Overview
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Classroom Contents
Python for Data Analysts and Data Scientists
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- 1 - Course Overview
- 2 - Preparation
- 3 - Creating a Jupyter Notebook and Objects
- 4 - Markdown Cells
- 5 - Data Types and Structures
- 6 - Operations
- 7 - Functions
- 8 - Libraries and Installing new Libraries
- 9 - Control Statements
- 10 - NumPy
- 11 - Install Pandas
- 12 - Series
- 13 - DataFrames
- 14 - Columns
- 15 - Rows
- 16 - Descriptive Statistics
- 17 - Filtering
- 18 - DateTimes
- 19 - Splitting Columns
- 20 - Applying a Function to Every Row
- 21 - GroupBy, Aggregation, and Sorting Values
- 22 - Joins and Unions
- 23 - Pivot and Melt
