Automated Machine learning (AutoML) for Marketing Analytics

The Complete PyCaret Guide for Marketing Insights

Created by: DatOlympia Learning Solutions
DatOlympia: A Data Literacy Company

What Will I Learn?

• Understand the fundamentals of PyCaret: Gain a solid understanding of PyCaret, its features, and how it can be used effectively for marketing analytics tasks.
• Learn how to apply topic modelling techniques using PyCaret to uncover underlying themes and patterns in customer feedback, social media data etc
• Analyze customer churn and predict churn likelihood: Discover how to leverage PyCaret to analyze customer churn and build predictive models
• Perform sentiment analysis on customer feedback: Explore sentiment analysis techniques
• Discover how to leverage PyCaret for clustering analysis to segment customers into distinct groups based on their behavior and preferences
• Understand how to apply association rule mining techniques in PyCaret to analyze transactional data
• Learn to conduct RFM analysis, a powerful method for segmenting customers based on their transactional behavior

Requirements

• An understanding of Python
• We use Google Colab in this course, hence there will be no installations

Target audience

• You are a marketing professional excited using data to drive marketing decisions. You may have a background in marketing, but are not necessarily an expert in data analysis or programming. The low code aspect of PyCaret will appeal to you if you are looking for a more user-friendly solution to perform marketing analytics.
• You are a data professional interested in using PyCaret for marketing analytics. You may have a background in data analysis or programming and are looking for a low code solution that can streamline your work and make it easier to perform marketing analytics.
• You are a business professional who is interested in using data to drive business decisions. You may have a background in business, but are not necessarily an expert in data analysis or programming.
• You are a market researcher who is interested in using PyCaret to perform marketing analytics. You may have a background in market research, but are not necessarily an expert in data analysis or programming.