Description:

This course covers fundamental concepts of probability and statistics essential for a career in data science. You will learn key techniques for analyzing data, making predictions and decisions, and understanding uncertainty. Topics include probability theory, descriptive statistics, inferential statistics, hypothesis testing, and regression analysis.

Key Highlights:

• Fundamental concepts of probability and statistics
• Key techniques for data analysis and decision-making
• Hands-on practice with real-world datasets
• Learn from industry experts in data science

What you will learn:

• Understand Probability Theory
  Learn the basics of probability and its applications in data science
• Statistical Analysis Techniques
  Explore descriptive and inferential statistics for data analysis
• Hypothesis Testing and Regression
  Master hypothesis testing and regression analysis for making data-driven decisions