#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.