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

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4.4 (4,584 ratings)
27,207 students enrolled
Created by Kirill Eremenko, SuperDataScience Team

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
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!
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