Welcome to the Inferential Statistics course page! This course will provide you with a comprehensive understanding of inferential statistics, which is a fundamental tool for data analysis.
Course Overview
- Introduction to Inferential Statistics: Learn the basics of inferential statistics, including the difference between descriptive and inferential statistics.
- Hypothesis Testing: Explore different types of hypothesis tests, including t-tests, chi-square tests, and ANOVA.
- Confidence Intervals: Understand how to calculate and interpret confidence intervals.
- P-Values: Learn about p-values and their importance in hypothesis testing.
- Regression Analysis: Discover how to use regression analysis to predict outcomes based on data.
Course Content
- Lecture Notes: Access comprehensive lecture notes for each module.
- Practice Problems: Solve practice problems to reinforce your understanding.
- Video Tutorials: Watch video tutorials to visualize complex concepts.
Additional Resources
- Advanced Statistical Methods - Explore more advanced statistical techniques.
- Data Science Bootcamp - Learn the full stack of data science skills.
Inferential statistics is a powerful tool for making data-driven decisions. By understanding the principles and techniques of inferential statistics, you can gain valuable insights from your data.