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Data Science: Linear Regression (edX) EdX
HarvardX,Harvard University

Data Science: Linear Regression (edX)

Statistics & Data Analysis Data Science

Dive into the world of Data Science with 'Data Science: Linear Regression' on edX. This course will equip you with the skills needed to implement linear regression models in R, a powerful tool used extensively across various fields for understanding relationships between variables and making predictions. Whether you're new to data science or looking to refine your analytical skills, this course offers an accessible yet thorough introduction.

Self Paced
Self-Paced
Linear Regression Data Science R Language
Details
Publishing Visualizations in R with Shiny and flexdashboard (Coursera) Coursera
Johns Hopkins University

Publishing Visualizations in R with Shiny and flexdashboard (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of interactive data visualization and dashboarding with our 'Publishing Visualizations in R with Shiny and flexdashboard' course. This specialized training builds upon your existing ggplot2 knowledge, equipping you with advanced techniques for creating engaging, interactive visual stories using Shiny and flexible dashboards. Perfect for data analysts, scientists, and professionals who want to make their data more accessible and impactful.

Jul 27th 2026
3 Weeks
Data Analysis Publishing R Language
Details
Advanced Statistical Inference and Modelling Using R (edX) EdX
University of Canterbury,UCx

Advanced Statistical Inference and Modelling Using R (edX)

Sci: Mathematics Statistics & Data Analysis

Expand your understanding of statistical analysis by delving into Advanced Statistical Inference and Modelling Using R. This course is designed for those who have a foundational grasp of linear regression and wish to apply their skills to more complex scenarios involving binary, count, or categorical responses, along with hierarchical experiments. Learn from experts and enhance your ability to perform advanced statistical analyses using the powerful programming language R.

Self Paced
Self-Paced
Modeling Data Analysis Linear Regression
Details
Using R for Regression and Machine Learning in Investment (Coursera) Coursera
Sungkyunkwan University - SKKU

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

Economics & Finance Business

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.

Jul 27th 2026
2 Weeks
Machine Learning Regression Investment
Details
Introducción a R para ciencia de datos (edX) EdX
Universitat Politècnica de València,UPValenciaX

Introducción a R para ciencia de datos (edX)

Statistics & Data Analysis

Sumérjase en el mundo del análisis de datos con nuestro curso 'Introducción a R para ciencia de datos'. Aprenderás los fundamentos del lenguaje R, una herramienta esencial para la investigación científica y el aprendizaje automático. Ideal para principiantes que desean adquirir habilidades prácticas en análisis de datos.

Self Paced
Self-Paced
Programming Machine Learning Data Analysis
Details
Machine Learning for Smart Beta (Coursera) Coursera
Sungkyunkwan University - SKKU

Machine Learning for Smart Beta (Coursera)

Economics & Finance Business

Dive into the world of Smart Beta investing with our 4-week course designed to equip you with a deep understanding of both passive and active investment strategies. Explore the intricacies of Smart Beta products, learn their creation mechanisms, and get practical experience by recreating various Smart Beta models using R programming. This course is perfect for finance enthusiasts, investors, and data scientists looking to enhance their knowledge in alternative investment strategies.

Jul 27th 2026
4 Weeks
Machine Learning Regression Classification
Details
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