Overview
Syllabus
) Intro.
) Install Python and Jupyter Notebook with Anaconda.
) Jupyter Notebook Interface.
) Cell Types and Cell Mode.
) Jupyter Notebook Shortcuts.
) Module 1 - Hello World.
) Data Type.
) Variables.
) Lists.
) Dictionaries.
) IF Statement.
) FOR Loop.
) Functions.
) Modules.
) Module 2 -Introduction to Pandas.
) How to create a dataframe.
) How to show a dataframe.
) Basic Attributes, Functions and Methods.
) Selecting One Column from a Dataframe.
) Selecting Two or More Columns from a Dataframe.
) Add New Column to a Dataframe (Simple Assignment).
) Operations in dataframes.
) The value_counts() method.
) Sort a DataFrame with the sort_values() method.
) Module 3: Introduction to Pivot Tables in Pandas.
) The pivot() method.
) The pivot_table() method.
) Data Visualization with Pandas (New Dataset + Pivot Table).
) Lineplot.
) Barplot.
) Piechart.
) Save Plot and Export Pivot Table.
Taught by
freeCodeCamp.org