Introduction to Statistics (Stepik)

Introduction to Statistics (Stepik)

The course provides an introduction to statistics and data analysis. During the four week we will discus the most important methods and concepts of statistics.

This course is designed to explain the fundamental of statistics. The course contains four weeks or four modules. The first module is devoted to the main concepts of statistics and data analysis. First of all we will introduce the concepts of sample, general population, descriptive statistics and normal distribution. At the end of the first module we will discuss the idea of statistical inference, one of the most important topics of our course. If you have just started to study statistics look more closely at the first week. All the lessons of the first module are extremely important to enable you to understand the rest of the course and more complicated concepts and methods of statistics. Each module contains lessons with short theoretical video lectures mixed with practical problems.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Python and Statistics for Financial Analysis (Coursera) Coursera
The Hong Kong University of Science and Technology - HKUST

Python and Statistics for Financial Analysis (Coursera)

Python is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.

Oct 5th 2026
4 Weeks
Data Visualization with Tableau Project (Coursera) Coursera
University of California, Davis

Data Visualization with Tableau Project (Coursera)

In this project-based course, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared on Tableau Public. You will use all the skills taught in this Specialization to complete this project step-by-step, with guidance from your instructors along the way.

Oct 5th 2026
5-12 Weeks
Data science perspectives on pandemic management (Coursera) Coursera
Politecnico di Milano

Data science perspectives on pandemic management (Coursera)

The COVID-19 pandemic is one of the first world-wide scenarios where data made a difference in capturing and analyzing the diffusion and impact of the disease. We offer an introductory course for decision makers, policy makers, public bodies, NGOs, and private organizations about methods, tools, and experiences on the use of data for managing current and future pandemic scenarios.

Oct 5th 2026
5-12 Weeks
Supply Chain Analytics Essentials (Coursera) Coursera
Rutgers University

Supply Chain Analytics Essentials (Coursera)

In this introductory course to Supply Chain Analytics, I will take you on a journey to this fascinating area where supply chain management meets data analytics. You will learn real life examples on how analytics can be applied to various domains of a supply chain, from selling, to logistics, production and sourcing, to generate a significant social / economic impact.

Oct 5th 2026
4 Weeks
From Excel to Power BI (Coursera) Coursera
Knowledge Accelerators

From Excel to Power BI (Coursera)

Are you using Excel to manage, analyze, and visualize your data? Would you like to do more? Perhaps you've considered Power BI as an alternative, but have been intimidated by the idea of working in an advanced environment. The fact is, many of the same tools and mechanisms exist across both these Microsoft products. This means Excel users are actually uniquely positioned to transition to data modeling and visualization in Power BI! Using methods that will feel familiar, you can learn to use Power BI to make data-driven business decisions using large volumes of data.

Oct 5th 2026
1 Week
Healthcare Information Design and Visualizations (Coursera) Coursera
Northeastern University

Healthcare Information Design and Visualizations (Coursera)

Introduces processes and design principles for creating meaningful displays of information that support effective business decision-making. Studies how to collect and process data; create visualizations (both static and interactive); and use them to provide insight into a problem, situation, or opportunity. Introduces methods to critique visualizations along with ways to answer the elusive question: “What makes a visualization effective?”

Oct 5th 2026
4 Weeks
HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Administrative/IT Perspective) (Coursera) Coursera
Columbia University

HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Administrative/IT Perspective) (Coursera)

HI-FIVE (Health Informatics For Innovation, Value & Enrichment) Training is an approximately 10-hour online course designed by Columbia University in 2016, with sponsorship from the Office of the National Coordinator for Health Information Technology (ONC). The training is role-based and uses case scenarios. No additional hardware or software are required for this course. Our nation’s healthcare system is changing at a rapid pace.

Sep 28th 2026
4 Weeks
Basic Statistics (Coursera) Coursera
University of Amsterdam

Basic Statistics (Coursera)

Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics. In the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression.

Sep 28th 2026
5-12 Weeks
Understanding Clinical Research: Behind the Statistics (Coursera) Coursera
University of Cape Town

Understanding Clinical Research: Behind the Statistics (Coursera)

If you’ve ever skipped over`the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place. You may be a clinical practitioner reading research articles to keep up-to-date with developments in your field or a medical student wondering how to approach your own research. Greater confidence in understanding statistical analysis and the results can benefit both working professionals and those undertaking research themselves.

Sep 28th 2026
5-12 Weeks