Data-driven decision-making using programming and statistics

Categories: CSE, Data Science
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About Course

The Data-Driven Decision-Making using Programming and Statistics course teaches you how to convert raw data into meaningful business insights through the power of Python, mathematics, and statistics.
You’ll learn to analyze data, interpret statistical patterns, and make evidence-based decisions that drive results.

This course blends programming skills with practical statistical techniques, empowering you to handle real-world datasets, visualize patterns, and communicate results effectively.
By the end, you’ll have the analytical mindset and technical expertise to support data-driven decision-making in any organization or project.

What Will You Learn?

  • Understand the core principles of data-driven thinking.
  • Use Python for data collection, cleaning, and transformation.
  • Apply descriptive and inferential statistics for analysis.
  • Perform hypothesis testing, correlation, and regression modeling.
  • Visualize trends and insights with Matplotlib and Seaborn.
  • Interpret statistical results for real-world business decisions.
  • Build decision models using real datasets (finance, marketing, operations).
  • Communicate findings through data storytelling and dashboards.

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