Statistics & Data Analysis

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Business intelligence and data warehousing (Coursera) Coursera
Universidad Nacional Autónoma de México

Business intelligence and data warehousing (Coursera)

Embark on a six-week journey into the world of Business Intelligence and Data Warehousing with Coursera's specialized course. Gain insights into identifying, designing, and developing analytical information systems, including descriptive analysis on data warehouses. Master integration and predictive analysis of big data using data mining and Hadoop framework techniques.

Jul 13th 2026
5-12 Weeks
Probability and Statistics: To p or not to p? (Coursera) Coursera
University of London

Probability and Statistics: To p or not to p? (Coursera)

In an unpredictable world, making decisions can be daunting. This course, 'Probability and Statistics: To p or not to p?', equips you with the tools to understand risk, probability, and statistical analysis, empowering you to make informed choices in your personal and professional life. From identifying 'black swan' events to understanding the odds of everyday decisions, this course is designed for those who want to navigate uncertainty with confidence.

Jul 13th 2026
5-12 Weeks
Data Analysis and Representation, Selection and Iteration (Coursera) Coursera
University of Colorado System

Data Analysis and Representation, Selection and Iteration (Coursera)

Embark on a problem-solving adventure with our Data Analysis and Representation course. This is the second part of a specialization that combines computational thinking with introductory C programming. Dive deep into understanding how to represent data effectively, make informed selections, and iterate through complex problems. Perfect for beginners looking to build a strong foundation in data analysis and programming.

Jul 13th 2026
4 Weeks
Linear Regression in R for Public Health (Coursera) Coursera
Imperial College London

Linear Regression in R for Public Health (Coursera)

Discover the art and science of preventing disease through organized efforts in society with our Linear Regression in R for Public Health course. Learn to create statistical models that describe how patient and environmental factors influence illness risk, starting from basic concepts like correlation and linear regression. This course will guide you through data importation, examination, and model fitting using the powerful R programming language.

Jul 13th 2026
4 Weeks
Introduction to Statistics & Data Analysis in Public Health (Coursera) Coursera
Imperial College London

Introduction to Statistics & Data Analysis in Public Health (Coursera)

Discover the essential elements of statistical analysis and data interpretation tailored specifically for public health professionals. This course provides a solid foundation in understanding key concepts such as types of variables, common distributions, and hypothesis testing. By the end of this program, you'll be able to analyze new datasets, identify their main characteristics, perform basic analyses, and formulate and test hypotheses based on means and proportions.

Jul 13th 2026
4 Weeks
Logistic Regression in R for Public Health (Coursera) Coursera
Imperial College London

Logistic Regression in R for Public Health (Coursera)

Dive into 'Logistic Regression in R for Public Health' - a practical course designed for healthcare professionals aiming to harness the power of statistical modeling within their field. This hands-on experience will equip you with essential skills in logistic regression analysis, focusing on real-life public health data sets and using R as your tool. You'll learn how to predict health outcomes accurately, considering the unique complexities of public health data.

Jul 13th 2026
4 Weeks
Survival Analysis in R for Public Health (Coursera) Coursera
Imperial College London

Survival Analysis in R for Public Health (Coursera)

Dive into the world of Survival Analysis in Public Health with our expert-led online course. Gain a deep understanding of time-to-event analysis using R, learn about unique terms like hazard and censoring, and apply your skills through practical data analysis exercises. Perfect for public health professionals looking to enhance their analytical capabilities.

Jul 13th 2026
4 Weeks