Statistics

with Iliya Valchanov
4.8/5
(2754)

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

3 hours 44 lessons
Start course
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 

Curriculum

Student feedback

4.8/5

2754 ratings
5 stars
2317 (84%)
4 stars
340 (12%)
3 stars
75 (3%)
2 stars
14 (1%)
1 star
8 (0%)
Filter by rating
  • 5 stars
  • 4 stars
  • 3 stars
  • 2 stars
  • 1 stars
Clear all
Sort
  • Newest
  • Oldest
Clear all
Eric Mbogu
07.07.2022
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.
DHIRAJ A PRASAD
10.04.2023
It was very easy to understand and I would've liked more excersises instead of one exercise and also I would love to see a detailed explaination on every answer in Q&A section after submitting the correct answer. I just followed the recommended course of Datascience where it from fundamentalas and then moved onto Descriptive Statistics Fundamentals where the statistical analysis is not explained or how to use excel is been skippped. Even without these I found it very easy but time consuming to finish the excersise part manually.
Crystal Monnens
20.02.2023
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.
Sara Head
11.04.2023
It's not very clear on a lot of things, simple things too, like how to create the charts you use and how the formulas are written. It's not impossible to complete the class or the assignments but you kinda need to look outside the class to do it. I haven't taken the test yet, but my guess is there's going to be questions on it that were either not covered or were covered too vaguely to be helpful.
Austin Reyling
08.05.2023
This was an amazing course, it had a lot of good information and everything. When they are talking about the different formulas. I think it might help other people if you guys went step by step through each formula to describe what each letter and symbol means in the formula. It came natural to me but I can see how it can be confusing for others.
  • 1
  • 2
  • 3
  • ...
  • 43
  • ...
  • 85
Iliya Valchanov

“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

Courses You May Like

Introduction to Tableau

with Ned Krastev
4.8/5
(987)
2 hours 40 lessons

Introduction to Data and Data Science

with Martin Ganchev, Iliya Valchanov
4.8/5
(7209)
2 hours 44 lessons

Data Analysis with Excel Pivot Tables

with Ned Krastev
4.8/5
(2463)
1 hour 19 lessons

Mathematics

with Iliya Valchanov
4.8/5
(1187)
1 hour 12 lessons

Introduction to Excel

with Ned Krastev
4.8/5
(5112)
4 hours 83 lessons

Probability

with Viktor Mehandzhiyski
4.8/5
(692)
4 hours 47 lessons

Starting a Career in Data Science: Project Portfolio, Resume, and Interview Process

with Ken Jee
4.9/5
(461)
4 hours 52 lessons

Power BI

with Dimitar Shutev
4.8/5
(1326)
8 hours 76 lessons

Advanced Microsoft Excel

with Ned Krastev, Martin Ganchev
4.8/5
(1051)
2 hours 64 lessons

Data Strategy

with Bernard Marr
4.8/5
(2083)
5 hours 81 lessons

SQL for Data Science Interviews

with Tina Huang
4.8/5
(506)
2 hours 23 lessons

Data Literacy

with Olivier Maugain
4.8/5
(1082)
4 hours 58 lessons

How to Think Like a Data Scientist to Become One

with Harpreet Sahota
4.8/5
(429)
3 hours 21 lessons

Statistics

with Iliya Valchanov

Start Course