| # | Topic |
|---|---|
| 1 | Hypothesis testing Learn how to formulate and test hypotheses using statistical methods, and make informed decisions based on the results. |
| 2 | Regression analysis Understand how to model relationships between variables, make predictions, and interpret results using regression techniques. |
| 3 | Data visualization techniques Learn how to effectively communicate data using visualizations such as charts, graphs, and dashboards. |
| 4 | Descriptive statistics Gain proficiency in summarizing and describing data sets using measures such as mean, median, variance, and standard deviation. |
| 5 | Probability theory Develop a strong foundation in probability concepts, including probability distributions, random variables, and sampling techniques. |
| 6 | Correlation analysis Master the techniques for measuring and interpreting relationships between variables using correlation analysis. |
| 7 | ANOVA (Analysis of Variance) Learn how to compare means across multiple groups and analyze the sources of variation in a data set using ANOVA methods. |