Statistics for Business Analytics and Data Science A-Z™

Statistics for Business Analytics and Data Science A-Z&, available at $119.99, has an average rating of 4.53, with 58 lectures, 5 quizzes, based on 11738 reviews, and has 65951 subscribers.

You will learn about 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 This course is ideal for individuals who are Anybody who wants to master stats for business analytics or Anybody who wants to learn stats from the ground up or Anybody who wants to get hands-on experience with stats It is particularly useful for Anybody who wants to master stats for business analytics or Anybody who wants to learn stats from the ground up or Anybody who wants to get hands-on experience with stats.

Enroll now: Statistics for Business Analytics and Data Science A-Z&

Summary

Title: Statistics for Business Analytics and Data Science A-Z&

Price: $119.99

Average Rating: 4.53

Number of Lectures: 58

Number of Quizzes: 5

Number of Published Lectures: 43

Number of Published Quizzes: 4

Number of Curriculum Items: 63

Number of Published Curriculum Objects: 47

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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

But it’s just hard to get started Learning / re-learning聽ALL聽of stats just seems like a daunting task.

That’s exactly why I聽have created this course!

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

This is not聽just another boring course on stats.锟?/p>

This course is very practical.锟?/p>

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,聽the Central Limit Theorem, hypothesis testing, confidence intervals, statistical significance聽and many more!

So what are you waiting for?

Enroll now聽and empower your career!

Course Curriculum

Chapter 1: Welcome to the course

Lecture 1: Welcome Challenge!

Lecture 2: Welcome!

Lecture 3: Learning Paths

Lecture 4: Some Additional Resources!!

Chapter 2: Distributions

Lecture 1: Plan of Attack

Lecture 2: Continuous vs Discrete

Lecture 3: What is a Distribution?

Lecture 4: What is Standard Deviation?

Lecture 5: Normal Distribution

Lecture 6: Skewness

Lecture 7: Mean, Median, Mode

Lecture 8: Homework

Lecture 9: Homework Solution – Part 1

Lecture 10: Homework Solution – Part 2

Lecture 11: EXTRA: Cantors Diagonal Argument

Chapter 3: Central Limit Theorem

Lecture 1: Plan of Attack

Lecture 2: Populations and Samples

Lecture 3: Sampling Distribution

Lecture 4: Central Limit Theorem

Lecture 5: Central Limit Theorem – Intuition

Lecture 6: Central Limit Theorem – Visualization

Lecture 7: Z-Score

Lecture 8: Hands-On CLT – Analytics Challenge

Lecture 9: Homework

Lecture 10: Homework Solution

Chapter 4: Hypothesis Testing / Statistical Significance

Lecture 1: Plan of Attack

Lecture 2: Statistical Significance: What is P-Value?

Lecture 3: Hypothesis Testing – Steps

Lecture 4: Hypothesis Testing – Rejection Region

Lecture 5: Hypothesis Testing Assumptions

Lecture 6: Proportion Testing

Lecture 7: Homework

Lecture 8: Homework Solution

Chapter 5: Advanced Hypothesis Testing

Lecture 1: What it means when you cannot reject the Null Hypothesis

Lecture 2: Students t-distribution

Lecture 3: T-Tests

Lecture 4: 1-Tailed And 2-Tailed Tests

Lecture 5: 2-Tailed Test Exercise

Lecture 6: Warning about misuse and overuse of p-values

Lecture 7: Real Life Example

Lecture 8: THANK YOU Video

Chapter 6: Congratulations!! Dont forget your Prize 馃檪

Lecture 1: Huge Congrats for completing the challenge!

Lecture 2: Bonus: How To UNLOCK Top Salaries (Live Training)

Instructors

Kirill Eremenko
DS & AI Instructor

SuperDataScience Team
Helping Data Scientists Succeed

Ligency Team
Helping Data Scientists Succeed

Rating Distribution

1 stars: 123 votes

2 stars: 244 votes

3 stars: 1165 votes

4 stars: 4164 votes

5 stars: 6042 votes

Frequently Asked Questions

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