This guide helps you make a choice for statistical analysis to be performed on your research data. It focuses on nine key areas which include the following; Use Cases, Industry Practical Examples, Data Preprocessing, ...

Contains details of different types of sampling techniques. Related theorems, proofs and examples. A note that can be helpful for college & university students as well as professionals.

Uncover the fundamentals of data engineering with our comprehensive study notes. Whether you're a working professional seeking a theoretical foundation, a beginner looking to dive into the world of data engineering, or...