Course Features
Duration
183 minutes
Delivery Method
Online
Available on
Downloadable Courses
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Advanced
Teaching Type
Self Paced
Video Content
183 minutes
Course Description
Course Overview
International Faculty
Post Course Interactions
Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
What You Will Learn
Learning - algorithms, solution techniques, and even neural network architectures, are becoming commoditized
Everyone is using the same tools these days, so your edge needs to come from how well you adapt those tools to your data
Today, more than ever, it is important that you really know your data well
In this course, Building Statistical Summaries with R, you will gain the ability to harness the full power of inferential statistics, which are truly richly supported in R
First, you will learn how hypothesis testing, which is the foundation of inferential statistics, helps posit and test assumptions about data
Next, you will discover how the classic t-test can be used in a variety of common scenarios around estimating means
You will also learn about related tests such as the Z-test, the Pearson’s Chi-squared test, Levene’s test and Welch’s t-test for dealing with populations that have unequal variances
Finally, you will round out your knowledge by using ANOVA, a powerful statistical technique used to measure statistical properties across different categories of data
Along the way, you will explore several variants of ANOVA, including one-way, two-way, Kruskal-Wallis, and Welch’s ANOVA
You will build predictive models using linear regression and classification and finally, you will understand A/B testing, and implement both the frequentist and the Bayesian approaches to implement this incredibly powerful technique
When you’re finished with this course, you will have the skills and knowledge to use powerful techniques from hypothesis testing, including t-tests, ANOVA and Bayesian A/B testing in order to measure the strength of statistical relationships within your d
Course Instructors