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 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!
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: Cantor's 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: Student's 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!! Don't forget your Prize 🙂
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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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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