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# 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