Statistics for Business Analytics A-Z™

Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!
Bestselling
Created by Kirill Eremenko, SuperDataScience Team
Last updated 7/2017
English
What Will I Learn?
Understand what a Normal Distribution is
Understand standard deviations
Explain the difference between continuous and discrete variables
Understand what a sampling distribution is
Understand the Central Limit Theorem
Apply the Central Limit Theorem in practice
Apply Hypothesis Testing for Means
Apply Hypothesis Testing for Proportions
Use the Z-Score and Z-Tables
Use the t-Score and t-Tables
Understand the difference between a normal distribution and a t-distribution
Understand and apply statistical significance
Create confidence intervals
Understand the potential pitfalls of overusing p-Values
Requirements
Just a basic knowledge of high school maths
Description
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.

That’s exactly why I have created this course!

Here you will quickly get the absolutely essential stats knowledge for a Data Scientist or Analyst.

This is not just another boring course on stats.

This course is very practical.

I have specifically included real-world examples of business challenges to show you how you could apply this knowledge to boost YOUR career.

At the same time you will master topics such as distributions, the z-test, the Central Limit Theorem, hypothesis testing, confidence intervals, statistical significance and many more!

So what are you waiting for?

Enroll now and empower your career!

Who is the target audience?
Anybody who wants to master stats for business analytics
Anybody who wants to learn stats from the ground up
Anybody who wants to get hands-on experience with stats
Size: 956.31M


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