Python for Marketing

Introduction

• Accelerate your marketing with Python
• Check out the course prerequisites
• Set up your coding environment and tools

1. Exploring Marketing Data with Python

• Identify the role of Python in marketing
• Load marketing data in Python
• Interpret marketing data in Python

2. Cleaning Marketing Data with Python

• Clean marketing data in Python
• Handle missing values in marketing data
• Prepare for outlier handling in Python
• Handle outliers in marketing data
• Reformat marketing data in Python

3. Manipulating Marketing Data with Python

• Manipulate marketing data in Python
• Group marketing data by categories
• Merge marketing datasets in Python
• Filter marketing datasets in Python
• Export marketing data as CSV

4. Visualizing Marketing Data with Python

• Visualize marketing data in Python
• Create a bar plot in Python
• Label the axes in data visualization
• Add a title to your data visualization
• Use subplots for multiple visualizations
• Add a secondary y-axis to your data visualization
• Add a legend to your data visualization
• Annotate your data visualization
• Customize a scatter plot in Python
• Create a heatmap in Python

5. Working with Time Series Data in Python

• Find value of time series data in marketing
• Prepare the times series data for analysis
• Resample the time series data
• Create a rolling average plot for time-series marketing data
• Plot cost-per-click marketing data
• Add dynamic annotations

6. Calculating Metrics in Python

• Calculate click-through rate in Python
• Calculate bounce rate in Python
• Calculate key performance indicators
• Create new metrics for marketing reports

7. Automating Marketing Tasks with Python

• Send personalized emails using Python
• Set up helpful alerts with Python
• Web scraping for marketing insights

Conclusion

• Unlock resources and next steps