Course2

Learn how to compare means across multiple groups and analyze the sources of variation in a data set using ANOVA methods.

ANOVA (Analysis of Variance)

Learn how to formulate and test hypotheses using statistical methods, and make informed decisions based on the results.

Understand how to model relationships between variables, make predictions, and interpret results using regression techniques.

Learn how to effectively communicate data using visualizations such as charts, graphs, and dashboards.

Gain proficiency in summarizing and describing data sets using measures such as mean, median, variance, and standard deviation.

Develop a strong foundation in probability concepts, including probability distributions, random variables, and sampling techniques.

Master the techniques for measuring and interpreting relationships between variables using correlation analysis.