Statistics & Data Analysis

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Introduction to Neurohacking In R (Coursera) Coursera
Johns Hopkins University

Introduction to Neurohacking In R (Coursera)

Dive into the world of neurohacking with our comprehensive Coursera course. Master the R programming language and its packages as you explore advanced techniques for analyzing neuroimaging data, specifically structural MRI. Gain expertise in correcting inhomogeneities, registering images, and visualizing results effectively.

Oct 5th 2026
4 Weeks
Dealing With Missing Data (Coursera) Coursera
University of Maryland, College Park

Dealing With Missing Data (Coursera)

Discover the essential skills needed to effectively manage missing data with 'Dealing With Missing Data' on Coursera. This course delves into advanced survey analysis techniques such as weighting, nonresponse adjustments, and imputation methods. Learn how to apply these strategies using industry-standard tools like R®, Stata®, and SAS®. Perfect for statisticians, researchers, and analysts looking to enhance their data handling capabilities.

Oct 5th 2026
4 Weeks
Big Data Integration and Processing (Coursera) Coursera
University of California, San Diego

Big Data Integration and Processing (Coursera)

Dive into the world of big data integration and processing with our expert-led online course. Whether you're new to big data or looking to enhance your skills, this course will equip you with the knowledge and hands-on experience needed to effectively handle and analyze massive datasets. Learn how to retrieve data from various sources, understand big data management operations, and apply these concepts using Hadoop and Spark platforms.

Oct 5th 2026
5-12 Weeks
Improving your statistical inferences (Coursera) Coursera
Eindhoven University of Technology

Improving your statistical inferences (Coursera)

Unlock the secrets to making better statistical inferences from empirical research with our expert-led online course. Gain a deep understanding of key concepts like p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios. Learn how to design experiments that effectively control false positive rates and determine the right sample size for your study to achieve high statistical power.

Oct 5th 2026
5-12 Weeks
Advanced R Programming (Coursera) Coursera
Johns Hopkins University

Advanced R Programming (Coursera)

Dive deep into the world of R programming with our Advanced R Programming course. Learn essential skills for developing sophisticated data science tools, including functional programming, error handling, object-oriented programming, profiling, benchmarking, debugging, and function design. Perfect for those looking to enhance their R expertise and create more efficient, reliable applications.

Oct 5th 2026
4 Weeks
Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions (Coursera) Coursera
Rice University

Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions (Coursera)

Discover the essential skills of interpreting and applying business statistics with our introductory course. From understanding descriptive statistics to grasping statistical distributions, you'll learn how to make accurate interpretations from data and make better business decisions.

Oct 5th 2026
4 Weeks
Essential Design Principles for Tableau (Coursera) Coursera
University of California, Davis

Essential Design Principles for Tableau (Coursera)

Discover the secrets to creating compelling Tableau visualizations with our 'Essential Design Principles for Tableau' course. Designed for those who already have a grasp on Tableau's tools and data visualization basics, this course will guide you through applying key design principles to transform your data into powerful stories that resonate with your audience.

Oct 5th 2026
4 Weeks