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 this course is for:
  • 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

Course Curriculum

  • 1

    Welcome to the Course

    • Welcome!
  • 2

    Distributions

    • Plan of Attack

    • Continuous vs Discrete

    • What is a Distribution?

    • What is Standard Deviation?

    • Normal Distribution

    • Skewness

    • Mean, Median, Mode

    • Homework

    • Homework Solution - Part 1

    • Homework Solution - Part 2

    • EXTRA: Cantor's Diagonal Argument

    • Quiz 1: Distributions
  • 3

    Central Limit Theorem

    • Plan of Attack

    • Populations and Samples

    • Sampling Distribution

    • Central Limit Theorem

    • Central Limit Theorem - Intuition

    • Central Limit Theorem - Visualization

    • Z-Score

    • Hands-On CLT - Analytics Challenge

    • Homework

    • Homework Solution

    • Quiz 2: Central Limit Theorem
  • 4

    Hypothesis Testing / Statistical Significance

    • Plan of Attack

    • Hypothesis Testing - Steps

    • Statistical Significance

    • Hypothesis Testing - Rejection Region

    • Hypothesis Testing Assumptions

    • Proportion Testing

    • Homework

    • Homework Solution

    • Quiz 3: Hypothesis Testing / Statistical Significance
  • 5

    Advanced Hypothesis Testing

    • What it means when you cannot reject the Null Hypothesis

    • Student's t-distribution

    • T-Tests

    • 1-Tailed And 2-Tailed Tests

    • 2-Tailed Test Exercise

    • Warning about misuse and overuse of p-values

    • Real Life Example

    • Quiz 4: Advanced Hypothesis Testing
  • 6

    Vitaly Dolgov's Guest Section

    • Who is Vitaly Dolgov?

    • Pareto Principle - Part 1

    • Pareto Principle - Part 2

    • Pareto Principle - Part 3

    • Trends in Analytics - Part 1

    • Trends in Analytics - Part 2

    • Quiz 5: Pareto Principle / Trends in Analytics

About the instructor

IT Manager

Eric Chu

A proven and experienced IT Manager, customer-focused and equipped with a technical background. I have over 8 years’ experience in IT Service Delivery Management and leading small to medium crossfunctional teams, and over 15 years of experience in IT Training and Sales.Through my passion for technology, science, and innovation, I have fostered extensive practical knowledge of emerging technologies, complex networks, and data centre eco-systems.I have had the opportunity to work across the Asia Pacific region as an experienced Business Development Manager and IT Project Manager delivering end to end solutions.

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