Course 2: Statistical Data Analysis

The course covers the essentials of data analytics and provides participants with a comprehensive understanding of data structuring for efficient analysis, statistical tests, and technology tools. It also addresses issues related to improper data for analysis, sample size determination, and the advantages and disadvantages of Big Data solutions.

This course will enable you to: 

• Understand the logic of hypothesis tests

• Differentiate between prior and posterior errors

• Benchmark sample statistics against standard references

• Differentiate between profiling and describing groups

• Identify variables that profile groups

• Explore the complete story behind simple regression

• Distinguish the use of linear and non-linear regression methods

• Consolidate all analytics into one smart chart

• Apply these concepts using SAS-Viya and Python.