Patrick Curtis – Stats For Data Analytics

In this module, we use 5 video lessons to explore the fundamentals of statistics that will set the foundation for the more advanced concepts we will learn in this course. We wrap up this module by reviewing the ultimate goal of statistics: to predict outcomes.

In this module, we use 7 video lessons to dive into the fundamental basics of descriptive statistics by exploring Mean, Median, and Mode as well as creating Histograms. This module also includes 2 step-by-step exercises with solutions that will test your knowledge so far…

In this module, we use 4 video lessons to dive deeper into more advanced descriptive statistics by learning how Variance and Standard Deviation can be used to analyze histograms and data spread. We wrap up this module by exploring how we can compare different data set spreads using the Coefficient of Variation.

In this module, we use 5 video lessons to explore Inferential Statistics and learn about probability distributions, the Central Limit Theorem, and so on. This module also includes an exercise with walkthrough solutions to help you understand exactly how to apply these concepts in Excel.

In this module, we use 3 video lessons to apply what we have learned about inferential and descriptive statistics to create a confidence interval estimate. We wrap up this module with a step-by-step exercise with solutions to help you apply these concepts to a real-world dataset.

In this module, we use 7 video lessons to learn how we can use regression analysis and correlation to find linear trends that will allow us to make predictions. This module also includes 3 exercises with aggressive benchmarking and video solutions to make sure you don’t move on until you have true mastery.
 

In this module, we use 8 video lessons to help explain best practices of regression analysis in Excel. This module also includes an exercise with walkthrough solutions to take you through the process step-by-step.