Use Python for marketing analytics

[CXL]

11 Playbooks

Use numbers and variables data types in Python

Assign values to variables to use in mathematical functions and to build clean, reusable code.

Create plots using plotly library in Python

Create interactive and publication-quality graphs for data analysis and visualizations.

Work with Excel data in Python

Use Pandas to manipulate data and create data visualizations.

Use lists in Python

Store multiple items using a single variable and build cleaner code for other developers to understand.

Use comparison and logical operators in Python

Perform arithmetic operations either in the code itself or within functions and other objects.

Use sets and Tuples in Python

Store unique values that can be used for developing efficient code.

Install and use libraries in Python

Build modules and functions for data science, manipulation, and visualization.

Use strings data type in Python

Store text in string variables to build reusable code or functions in Python.

Use dictionaries in Python

Store key-value pairs that you can call without knowing the index location.

Use functions in Python

Perform specific tasks and build them to be used repeatedly within the same code or call them externally from other Python code.

Set up Python and libraries on your computer

Set up your computer ready for building automated tasks, extracting data and constructing visualizations.

Last edited by @hesh_fekry 2023-11-14T15:25:22Z