Python for Marketing Analytics

Description

For analysts comfortable querying and cleaning data in SQL who want to move beyond spreadsheets and queries into a scriptable, repeatable analytics workflow.

Timeline: 4 Weeks (Part-Time)
Prerequisite: SQL and Data Wrangling Basics
Outcome: Python for Analytics Competency

Key Topics Covered:

• Python Fundamentals for Analysts
• Loading and Exploring Data With Pandas
• Cleaning and Reshaping Data With Pandas
• Merging and Grouping DataFrames (Like a SQL Join/GROUP BY)
• Charting With Matplotlib & Seaborn
• Automating a Recurring Report End to End

What You Gain:

• Ability to load, clean and reshape marketing data in pandas instead of by hand in a spreadsheet.
• Skills to build presentation-ready charts with matplotlib and seaborn.
• A script that automates a recurring report, with a clear sense of what still needs a human judgement call.