Part-4: Python Programming Language for DataScience

16. Introduction of Python

  • Types of Variables and using variables

  • Boolean Variables, Logical variables and Operators

  • While Loop

  • For Loop

  • If-Else statement

  • Code indentation in python

  • Random variable: randn()

  • Create a List in python

  • Create a Tuple in python

  • Functions in python

  • Packages in python

  • Numpy and Arrays in python

  • Slicing List

  • Matrices

  • How to build your first matrix

  • Dictionaries in Python

  • Matrix operations

  • First Visualization

  • Expanded Visualization

  • Creating First function

  • Advanced Function Design

  • Project brief Basketball trends in python

  • Basketball insights

  • Dataframe in Python

  • How to importing data into python

  • Exploring your dataset

  • Renaming columns of a dataframe

  • Subsetting dataframes in pandas

  • Basic operation with a DataFrame

  • Filtering DataFrame

  • Introduction to Seaborn

  • Visualizing with Seaborn (part-1)

  • Keyword Arguments in python

  • Advanced Visualization

    • What is category datatype

    • Working with Jointplots

    • Histograms in python

    • Stacked Histograms in python

    • Creating a KDE plot

    • Working with Subplots

    • Violinplots vs Boxplots

    • Creating Facet Grid

    • Coordinates and Diagonals

    • Building Dashboards

    • Styling Tips

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