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Classroom Contents
Data Analysis with Python for Excel Users - Full Course
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- 1 ) Intro
- 2 ) Install Python and Jupyter Notebook with Anaconda
- 3 ) Jupyter Notebook Interface
- 4 ) Cell Types and Cell Mode
- 5 ) Jupyter Notebook Shortcuts
- 6 ) Module 1 - Hello World
- 7 ) Data Type
- 8 ) Variables
- 9 ) Lists
- 10 ) Dictionaries
- 11 ) IF Statement
- 12 ) FOR Loop
- 13 ) Functions
- 14 ) Modules
- 15 ) Module 2 -Introduction to Pandas
- 16 ) How to create a dataframe
- 17 ) How to show a dataframe
- 18 ) Basic Attributes, Functions and Methods
- 19 ) Selecting One Column from a Dataframe
- 20 ) Selecting Two or More Columns from a Dataframe
- 21 ) Add New Column to a Dataframe (Simple Assignment)
- 22 ) Operations in dataframes
- 23 ) The value_counts() method
- 24 ) Sort a DataFrame with the sort_values() method
- 25 ) Module 3: Introduction to Pivot Tables in Pandas
- 26 ) The pivot() method
- 27 ) The pivot_table() method
- 28 ) Data Visualization with Pandas (New Dataset + Pivot Table)
- 29 ) Lineplot
- 30 ) Barplot
- 31 ) Piechart
- 32 ) Save Plot and Export Pivot Table
