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Statistics for Business Analytics and Data Science A-Z™ (Udemy.com)

Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!

4.5
12,900 reviews

Created by: Kirill Eremenko

Last updated January 2025

Our take

Based on the ratings of 12,900 students, a sample of their written reviews and the syllabus, as the course stood in January 2025. No course pays to be reviewed.

Kirill Eremenko's course is a short run through the statistics a business analyst needs most. It covers distributions, the Central Limit Theorem, hypothesis testing and confidence intervals across 42 lectures and about 6 hours of video. The only stated requirement is high school maths, and the syllabus builds step by step from the normal distribution to z-scores, t-scores and p-value pitfalls. There are no coding exercises, so this is concepts and worked examples rather than software practice. More than 71,000 students have enrolled.

Reviewers who like it say the explanations are clear, the visuals help, and the business examples are realistic enough to carry over to office work. One calls it great for building the right intuition behind the maths. The complaints are consistent too. Low-star reviewers call it very short and basic, with few problems and no reference materials, and one says it feels like a demo for a fuller course. Others find the delivery loose, with topics explained in bits and pieces. One beginner asked for simpler examples.

The ratings lean strongly positive, with 6,619 five-star and 4,556 four-star ratings out of 12,900 reviews. The content was last updated in January 2025, though statistics does not date quickly. It works well as a first pass or a refresher before a data science course, particularly if you are rusty. Plan to find practice problems elsewhere, because the course itself offers four quizzes and little else to work through.

Best forAnalysts and career changers who want stats intuition for business data in an afternoon or two.
Skip it ifYou want lots of practice problems, software work in R or Python, or a deep university-style treatment.

Pros

  • Builds intuition for distributions, the CLT and hypothesis tests, with visuals reviewers call helpful
  • Business-flavored examples that reviewers say transfer to real office questions
  • Short enough to finish in a weekend, about 6 hours across 42 lectures
  • Asks only for high school maths, and the pace is slow enough for rusty learners

Cons

  • Very few practice problems, only four quizzes, and no reference materials
  • Some reviewers find the delivery loose and explanations given in bits and pieces
  • No coding or software work, so nothing to apply in Excel, R or Python
The explanations are clear, and the visuals help a lot. It is not a set of slides; instead, this course offers dynamic explanations.
Irene Zamora, a student

Labeled All Levels, but it assumes high school maths and suits beginners and rusty learners best, not anyone after advanced stats.

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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

Course content

6 sections · 42 lectures · 6.1 hours of video 4 quizzes, 4 articles

  1. 1Welcome to the course 1 free preview4 lectures · 5 min
  2. 2Distributions 2 free previews11 lectures · 1 quiz · 1.7 hours
  3. 3Central Limit Theorem 1 free preview10 lectures · 1 quiz · 1.5 hours
  4. 4Hypothesis Testing / Statistical Significance 1 free preview8 lectures · 1 quiz · 1.4 hours
  5. 5Advanced Hypothesis Testing 1 free preview8 lectures · 1 quiz · 1.5 hours
  6. 6Congratulations!!1 lecture · 1 min

Who it is for

The instructor says it suits

  • 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

What you need before you start

  • Just a basic knowledge of high school maths

How it compares

Against the other 461 rated Udemy courses in Data Science on CourseDuck:

  • Rating4.5 out of 5higher than 46% of them
  • Reviews12,900#15 of 462 by number of reviews
  • Length6.1 hoursshorter than 60% of them
  • Last updatedJanuary 2025earlier than 63% of them

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Course 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!
Read More All Levels All Levels product length iconTime: 6.1h

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Instructor Details

Kirill Eremenko

My name is Kirill Eremenko and I am super-psyched that you are reading this!

Professionally, I come from the Data Science consulting space with experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and since starting on Udemy I have passed on my knowledge to thousands of aspiring data scientists.

From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. One of the strongest sides of my teaching style is that I focus on intuitive explanations, so you can be sure that you will truly understand even the most complex topics.

To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!

Read More

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Reviews

4.5

12,900 ratings on Udemy

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By Arthur Zubarev on 9/4/2026

An engaging course from a friendly author that feels like one taking a private lesson at a prestigious university. Most importantly, the lectures are based on real life examples studying which has made me answering business inquiries with a lot more confidence. Big thanks Kirill!

By Irene Zamora on 3/24/2026

The explanations are clear, and the visuals help a lot. It is not a set of slides; instead, this course offers dynamic explanations. The examples are realistic enough to understand the applications of the concepts in business situations.

By David Cunha on 2/21/2026

I dont leave reviews but I got to say im disappointed. Kirill had created a Forex trading course 5/5 stars I learned a lot from that well put together. However with this course..... his presentation and public speaking is lacking. I felt it was someone talking too much and does not specify in-depth details like a teacher should and to me that says they are not prepared and threw something together to sound smart. Laziness was observed. I will be taking your R-programming course I hope its better. Your Forex Course was great don't know why you deleted that.

By Manasvini Agrahara on 2/10/2025

This is one of the best statistics course that I have come across. Definitely recommend this course to anyone and everyone who wants to learn about the basics and understand the significance of statistics concepts with respect to data analytics.

By Himanshu Choudhary on 12/29/2023

Great course, I just became a fan of Kirill, never in my life any one taught me about developing an intuition for math . Course was nothing about formulas or theory, it was all about intuition and conceptual understanding.

By Alpha Omega on 6/11/2021

If you're looking for an excellent introductory course into the world of statistics this is the perfect course for you. This course is perfect for beginners and those in need of a brush up. I have completely finished the course and I can tell you that I learned so much. I am so happy with the value I received. Excellent!

By Akshay on 11/14/2020

Very good explanation with practical examples!! Thank you Kirill :)

By Melissa Thurmond on 11/7/2020

The facilitator has a tendency to talk too much with his mouse which can be very distracting

By Sourav Ganguly on 11/7/2020

learnt about a new tool - RVLS. thanks!!

By Amnard Lungsun on 11/7/2020

If you are a person who want to know why to be that and where theory come from. this course will answer your question by doing the simple thing and point why it didn't work and told that the reason why people doing this instead

By Pawan Kumar on 11/1/2020

Great course and examples

By John saunders on 10/27/2020

I was looking for a course to refresh my memory of stats. The learning objectives and course content appears to cover exactly what was in my 200 level college course.

Showing 12 of 319 reviews

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Overall Score : 90 / 100

Statistics for Business Analytics and Data Science A-Z™
Visit course on Udemy Write a review
  • Video Duration: icon 6.1h
  • Price: $19.99
  • Provider: icon Udemy
  • Updated: icon January 2025
  • Level: All Levels All Levels
  • Language: icon English
  • Certificate: icon Yes
  • Lectures:42 in 6 sections
  • Practice:4 quizzes
  • Students:71,300
  • Subtitles:7 languages
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