Statistical Methods

Filter Courses within "Statistical Methods" (Click to filter)
Network Analysis in Systems Biology (Coursera) Coursera
Icahn School of Medicine at Mount Sinai

Network Analysis in Systems Biology (Coursera)

Dive into the world of Systems Biology with our introductory course on Network Analysis. Gain insights into data integration, statistical methods, and practical applications that are crucial for modern research in fields like Bioinformatics and Systems Pharmacology. This course will equip you with the knowledge to process raw genomic data, normalize it, identify differential expressions, cluster data, perform enrichment analysis, and construct networks.

Jun 8th 2026
5-12 Weeks
Customer Data Analytics for Marketers (Coursera) Coursera
University of Colorado Boulder

Customer Data Analytics for Marketers (Coursera)

Dive into Customer Data Analytics for Marketers, a course that equips you with the skills to transform raw data into actionable insights. Perfect for those in the marketing field, this program explores correlation and causality, statistical analysis, and how to apply these tools to enhance your marketing strategies effectively.

Jun 1st 2026
4 Weeks
Statistics for Business Analytics: Modelling and Forecasting (edX) EdX
University of Queensland,UQx

Statistics for Business Analytics: Modelling and Forecasting (edX)

Dive into 'Statistics for Business Analytics: Modelling and Forecasting' – a beginner-friendly course designed to equip you with essential analytical and statistics skills. Explore statistical methods, understand variable relationships, and discover how historical data can be used to forecast future trends. Perfect for those new to the field, this course offers a solid foundation in business analytics.

Apr 7th 2023
4 Weeks
Introduction to Bioconductor (edX) EdX
HarvardX,Harvard University

Introduction to Bioconductor (edX)

Dive into the world of genomics with 'Introduction to Bioconductor' on edX. This course unravels the complexities of genome-scale assays, offering insights into next-generation sequencing, microarrays, and how to effectively analyze and interpret genomic data using R and Bioconductor tools. Whether you're a biologist, bioinformatician, or just curious about genomics, this course provides a solid foundation.

Self Paced
Self-Paced
Introduction to Statistical Methods for Gene Mapping (edX) EdX
Kyoto University,KyotoUx

Introduction to Statistical Methods for Gene Mapping (edX)

Dive into the world of genetic research and learn foundational statistical methods used in gene mapping. This course serves as a primer for those interested in statistical genetics, focusing on linkage disequilibrium mapping—a powerful tool for identifying genetic variants associated with common traits.

This course is archived
4 Weeks
Page 1 Next ›