with Iliya Valchanov

Covering descriptive and inferential statistics, as well as hypothesis testing techniques and exercises, statistics puts the “scientist” in data scientist.

3 hours 44 lessons
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44 High Quality Lessons
25 Practical Tasks
3 Hours of Video
Certificate of Achievement

Course Overview

Statistics is the driving force in any quantitative career. It is the fundamental skill that a data scientist needs in order to understand and design statistical tests and analysis using modern software packages and programming languages. In this course, we start from the very basics and gradually build your statistical thinking. This, in turn, enables you to understand the more complex analyses carried out later in the program.

Topics covered

data analysisExcelTheory

What You'll Learn

This course begins with the very basics of statistics and builds up your arithmetic thinking. It gradually teaches you how to work with more complex analyses, statistical approaches, and hypothesis.

Distinguish between the diverse types of data and levels of measurement 
Understand what a distribution is 
Calculate confidence intervals 
Perform hypothesis testing 
Become familiar with the p-value 


Student feedback


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Overall, a good course. Given I didn't know what to expect, and a complete newbie to this, I felt this would be a good investment. While in some respects it has been, I did find it wasn't entirely beginner friendly. Some concepts were not properly explained, while some were glossed over(i.e null hypothesis). Given what I've had to learn in other places, I just felt it wasn't done well here. Sometimes it made me question myself when in fact it wasn't entirely my fault. I was very dissatisfied with its delivery as I could tell the author of the course wasn't thinking about his/her audience. If the author indeed was then the course clearly isn't for me; I am not confident recommending it to friends as their money will be best spent elsewhere as total newbies. It has led me to approach other courses in the career track with a bit of apprehension, thus forcing me to supplement them with other resources elsewhere on the internet. I hope this gets revised in the future as there is indeed some potential. The graphics really do help visually but depth, clarity and simplicity in content delivery is just as important. Thanks.
I liked the small quizzes at the end of each lesson but they became less frequent in other sections as the material got harder. This course has a lot of information packed into fewer lessons, but there's less explanation on the actual equations. It would be nice if, since we're using excel, that there would be follow along demonstrations with the formulas used. I believe this course should be longer with follow along examples or even a second course to further explain.
The material covers the basics without getting too deep into the math behind the concepts but still enough to give you a good foundation for seeking out more detailed explanations on your own. Everything is clearly explained and easy to understand, and the practical exercises reinforce what is covered and keep you constantly engaged.
Many thanks for the instructor who make Statistics a joyful science. A very-well structured course that introduce concepts very smoothly with variety real-world examples & practice for concreate understanding in addition to and many exercises with the solution to check your answer, I had massively enjoyed the course so Thanks again.
Descriptive statistics was easy to understand as I had the topic somewhat learned in high school. However, later topics were harder and I wish they were explained in an easier language and with better examples. Overall, I liked the course, but I feel it can be more beginner friendly.
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“Statistics is the foundation of any quantitative career. This course is where you start. And it is the perfect beginning! In no time, you will acquire the fundamental skills that will enable you to understand complicated statistical analysis directly applicable to real-life situations.”

Iliya Valchanov
Co-founder at 365 Data Science

with Iliya Valchanov

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