Marketing Analytics with Data Science
in Analytics & VisualizationWhat you will learn?
Understand the role and impact of data science in marketing decision-making and strategy.
Identify and access various types of marketing data from multiple sources.
Perform data collection, cleaning, and preprocessing using Python and spreadsheet tools.
Summarize and visualize marketing data with appropriate descriptive statistics and visualization tools.
Apply regression and predictive models to forecast sales, campaign outcomes, and customer behaviors.
Design, conduct, and analyze A/B tests and other experimental marketing strategies.
Use machine learning techniques such as clustering and classification for customer segmentation and targeting.
Translate data insights into actionable marketing strategies and campaign optimizations.
About this course
This course explores how data science transforms modern marketing strategies. You’ll learn how to analyze customer behavior, segment audiences, forecast trends, and measure campaign performance using data-driven techniques.
Through practical examples and structured methodology, the course helps you understand how predictive models and analytics can improve targeting, personalization, and overall marketing ROI.
Recommended For
- Marketing students & freshers
- Marketing beginners (non-technical)
- Small business owners & entrepreneurs
- Traditional marketers upgrading to data-driven skills
- Digital marketers & content creators
- Aspiring marketing/data analysts
- Startup founders
- Beginners curious about data-driven marketing
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