Statistics

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

with Iliya Valchanov

Start Course

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.

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

Skills you will gain

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

“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

40 lessons 2 hours
Introduction to Tableau
with Ned Krastev
44 lessons 2 hours
Introduction to Data and Data Science
with Martin Ganchev, Iliya Valchanov
19 lessons 1 hours
Data Analysis with Excel Pivot Tables
with Ned Krastev
12 lessons 1 hours
Mathematics
with Iliya Valchanov
83 lessons 4 hours
Introduction to Excel
with Ned Krastev
47 lessons 4 hours
Probability
with Viktor Mehandzhiyski
52 lessons 4 hours
Starting a Career in Data Science: Project Portfolio, Resume, and Interview Process
with Ken Jee
76 lessons 8 hours
Power BI
with Dimitar Shutev
64 lessons 2 hours
Advanced Microsoft Excel
with Ned Krastev, Martin Ganchev
81 lessons 5 hours
Data Strategy
with Bernard Marr
23 lessons 2 hours
SQL for Data Science Interviews
with Tina Huang
58 lessons 4 hours
Data Literacy
with Olivier Maugain
Statistics

with Iliya Valchanov

Start Course