Advanced Clinical Data Science (Coursera)

Coursera

University of Colorado Boulder

Statistical Inference and Hypothesis Testing in Data Science Applications (Coursera)

Statistics & Data Analysis Data Science

This course will focus on theory and implementation of hypothesis testing, especially as it relates to applications in data science. Students will learn to use hypothesis tests to make informed decisions from data. Special attention will be given to the general logic of hypothesis testing, error and error rates, power, simulation, and the correct computation and interpretation of p-values. Attention will also be given to the misuse of testing concepts, especially p-values, and the ethical implications of such misuse.

Sep 21st 2026

5-12 Weeks

Statistics Hypothesis Statistical Inference

Details

Coursera

The Hong Kong University of Science and Technology - HKUST

Understanding China, 1700-2000: A Data Analytic Approach, Part 1 (Coursera)

Statistics & Data Analysis Data Science

The purpose of this course is to summarize new directions in Chinese history and social science produced by the creation and analysis of big historical datasets based on newly opened Chinese archival holdings, and to organize this knowledge in a framework that encourages learning about China in comparative perspective. Our course demonstrates how a new scholarship of discovery is redefining what is singular about modern China and modern Chinese history.

Sep 28th 2026

5-12 Weeks

History Education China

Details

Coursera

University of California, Santa Cruz

Bayesian Statistics: Mixture Models (Coursera)

Statistics & Data Analysis

Bayesian Statistics: Mixture Models introduces you to an important class of statistical models. The course is organized in five modules, each of which contains lecture videos, short quizzes, background reading, discussion prompts, and one or more peer-reviewed assignments. Statistics is best learned by doing it, not just watching a video, so the course is structured to help you learn through application.

Sep 21st 2026

5-12 Weeks

Statistics Data Analysis Statistical Models

Details

Coursera

University of California, San Diego

Code Free Data Science (Coursera)

Data Science

The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science. Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements. Machine Learning methods will be presented by utilizing the KNIME Analytics Platform to discover patterns and relationships in data.

Sep 28th 2026

4 Weeks

Machine Learning Big Data Data Science

Details

Coursera

Google Cloud

Analyzing and Visualizing Data in Looker (Coursera)

CS: Information & Technology

In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.

Sep 28th 2026

2 Weeks

Data Analysis Data Visualization Data Exploration

Details

Coursera

Erasmus University Rotterdam

Necessary Condition Analysis (NCA) (Coursera)

Economics & Finance

Welcome to Necessary Condition Analysis (NCA). NCA analyzes data using necessity logic. A necessary condition implies that if the condition is not in place, there will be guaranteed failure of the outcome. The opposite however is not true; if the condition is in place, success of the outcome is not guaranteed.

Sep 28th 2026

5-12 Weeks

Data Analysis Coursera Plus Necessary Condition Analysis

Details

Coursera

Johns Hopkins University

Gestión del análisis de datos (Coursera)

Business

This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results.

Sep 21st 2026

1 Week

Inference Data Analysis Exploratory Data Analysis

Details

Coursera

IBM

SQL: A Practical Introduction for Querying Databases (Coursera)

Statistics & Data Analysis Data Science

Much of the world's data lives in databases. SQL (or Structured Query Language) is a powerful programming language that is used for communicating with and manipulating data in databases. A working knowledge of databases and SQL is a must for anyone who wants to start a career in Data Engineering, Data Warehousing, Data Analytics, Data Science or Business Intelligence. The purpose of this course is to help you learn and apply foundational and intermediate knowledge of the SQL language, and become familiar with many relational database (RDBMS) concepts along the way.

Sep 21st 2026

5-12 Weeks

Databases SQL Data Analysis

Details

Coursera

Karlsruhe Institute of Technology - KIT

Machine Translation (Coursera)

Data Science

Welcome to the CLICS-Machine Translation MOOC. This MOOC explains the basic principles of machine translation. Machine translation is the task of translating from one natural language to another natural language. Therefore, these algorithms can help people communicate in different languages. Such algorithms are used in common applications, from Google Translate to apps on your mobile device.

Sep 28th 2026

5-12 Weeks

Machine Learning Translation Data Science

Details

Coursera

Illinois Tech

Introduction to Time Series (Coursera)

Statistics & Data Analysis Data Science

This course introduces basic time series analysis and forecasting methods. Topics include stationary processes, ARMA models, modeling and forecasting using ARMA models, nonstationary and seasonal time series models, state-space models, and forecasting techniques.

Sep 28th 2026

5-12 Weeks

Data Analysis Statistical Analysis Forecasting

Details

Coursera

Johns Hopkins University

Advanced Linear Models for Data Science 1: Least Squares (Coursera)

Statistics & Data Analysis Data Science

Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: a basic understanding of linear algebra and multivariate calculus; a basic understanding of statistics and regression models; at least a little familiarity with proof based mathematics; basic knowledge of the R programming language.

Sep 21st 2026

5-12 Weeks

Linear Algebra Linear Regression Data Science

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Coursera

Duke University

Data Science Math Skills (Coursera)

Sci: Mathematics Data Science

Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time.

Sep 24th 2026

4 Weeks

Math Algebra Probability

Details