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# Statistics for Business Analytics and Data Science A-Z™

via Udemy

## Overview

Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!

What you'll 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

If you are aiming for a career as a Data Scientist or Business Analyst then brushing up on your statistics skillsis something you need to do.

But it's just hard to get started... Learning / re-learningALLof stats just seems like a daunting task.

That's exactly why Ihave created this course!

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

This is notjust 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 significanceand many more!

So what are you waiting for?

### Taught by

Kirill Eremenko and SuperDataScience Team

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