Learn The Core Stats For A Data Science Career

If you are aiming for a career as a Data Scientist or Business Analyst then brushing up on your statistics skills is something you need to do. But it’s just hard to get started… Learning / re-learning ALL of stats just seems like a daunting task. In the Udemy course “Statistics for Business Analytics A-Z™” you will learn the core stats for a data science career, and master topics such as distributions, the z-test, the Central Limit Theorem, hypothesis testing, confidence intervals, statistical significance and many more!

Statistics for Business Analytics A-Z™ Course Content

This course is very practical. It includes the following topics: Normal distribution, standard deviations, continuous and discrete variables, sampling distribution, Central Limit Theorem, hypothesis testing for means and proportions, using Z-Score and Z-Tables, using t-Score and t-Tables, statistical significance, confidence intervals, and the potential pitfalls of overusing p-Values.

The course comprises 44 Lectures organized into the following sections:

Distributions
Central Limit Theorem
Hypothesis Testing / Statistical Significance
Advanced Hypothesis Testing
Vitaly Dolgov’s Guest Section

Requirements

Just a basic knowledge of high school maths

Summary of Main Course Features

Instructors:
- Kirill Eremenko – Data Scientist
- SuperDataScience Team – Helping Data Scientists Succeed
On-demand video: 7 hours
Lectures: 44
Articles: 2
Includes:
- 30-Day Money-Back Guarantee
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion