R Programming

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Basic Statistics (Coursera) Coursera
University of Amsterdam

Basic Statistics (Coursera)

Discover the basics of statistics in a user-friendly format! This course is perfect for those interested in understanding research methods in the social and behavioral sciences. You'll learn not just how to compute statistics but also how to critically assess them. Prepare yourself for advanced studies with this essential foundation.

Oct 26th 2026
5-12 Weeks
Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera) Coursera
Johns Hopkins University

Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera)

Dive into the world of Advanced Linear Models for Data Science with Class 2: Statistical Linear Models. This course is designed to provide a deep understanding of least squares from both linear algebraic and mathematical perspectives. Suitable for those with a basic grasp of linear algebra, multivariate calculus, statistics, regression models, proof-based mathematics, and R programming.

Oct 26th 2026
4 Weeks
Inferential Statistics (Coursera) Coursera
Duke University

Inferential Statistics (Coursera)

Discover the power of Inferential Statistics with this engaging Coursera course. Designed for beginners and professionals alike, this program will equip you with essential skills to analyze and interpret data, perform hypothesis tests, and communicate your findings clearly. Dive into practical applications using R and RStudio, free statistical software, and apply these techniques to real-world datasets.

Oct 26th 2026
5-12 Weeks
Multilevel Modeling (Coursera) Coursera
Erasmus University Rotterdam

Multilevel Modeling (Coursera)

Get introduced to the fundamentals of multilevel modeling in this comprehensive course. Master two-level models, understand their application in 'continuous' response variables, and learn how to run basic two-level models using R. Ideal for PhD candidates seeking to analyze nested data effectively.

Oct 26th 2026
4 Weeks
Data Visualization with Python & R for Engineers (Coursera) Coursera
Northeastern University

Data Visualization with Python & R for Engineers (Coursera)

Discover the power of Data Visualization with Python & R for Engineers - a course designed to equip you with essential skills for transforming raw data into compelling stories. Whether you're working in engineering, healthcare operations, or manufacturing, this course will teach you how to use visualization tools and techniques to explore your data, discover knowledge, and make informed decisions.

Oct 26th 2026
4 Weeks
Advanced Linear Models for Data Science 1: Least Squares (Coursera) Coursera
Johns Hopkins University

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

Dive into the world of advanced linear modeling with our introductory course on Least Squares. Gain a solid foundation in linear algebra, multivariate calculus, statistics, and regression models as you learn how to apply least squares methods effectively in data science projects. This course is perfect for those looking to deepen their understanding of predictive analytics.

Oct 19th 2026
5-12 Weeks
Using R for Regression and Machine Learning in Investment (Coursera) Coursera
Sungkyunkwan University - SKKU

Using R for Regression and Machine Learning in Investment (Coursera)

Dive into the world of data-driven investment strategies with 'Using R for Regression and Machine Learning in Investment'. Learn to apply regression techniques like logistic, Lasso, and Ridge regressions using R programming. This course is designed for aspiring and professional investors who want to leverage machine learning methodologies to enhance their investment analysis skills.

Oct 19th 2026
2 Weeks
Fundamental Skills in Bioinformatics (Coursera) Coursera
King Abdullah University of Science and Technology (KAUST)

Fundamental Skills in Bioinformatics (Coursera)

Discover the essential skills needed to navigate the world of bioinformatics with our online course designed for beginners. Gain a practical overview of key concepts and develop both quantitative and programming abilities crucial for analyzing biological data effectively.

Oct 19th 2026
4 Weeks
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