Welcome to Learn Live - Explore and analyze data with R! In this course, you will learn how to use the R programming language to explore and analyze data. You will learn how to use exploratory data analysis to identify patterns and trends in data, and how to use dplyr to transform data. You will also learn how to visualize data with R, and how to examine real-world data. At the end of the course, you will have a knowledge check to test your understanding of the material. Finally, you will have a summary and conclusion to review the key points of the course.
Learn Live - Introduction to regression models by using R and tidymodels
1.5
Youtube0 learners
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Welcome to Learn Live - Introduction to regression models by using R and tidymodels! In this course, you will learn the fundamentals of regression models and how to use R and tidymodels to build and evaluate them. We will start by discussing what regression is and then move on to predicting bike rentals. We will then cover feature engineering with recipes and resampling for evaluating model performance. Finally, we will wrap up with a knowledge check and summary and conclusion.
Foundations Of R Software
2.5
Swayam59 learners
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This course, Foundations of R Software, is perfect for UG students of Science and Engineering, as well as working professionals in analytics. It covers the fundamentals of R software, a free software capable of mathematical and statistical computing. With its own programming language, built-in functions, and graphical capabilities, it can help you complete any specialized task in mathematics, statistics, and other areas. A mathematics background up to class 12 is needed, but having some preliminary knowledge is helpful but not mandatory. All industries involved in mathematical and statistical computations, programming and simulations will benefit from this course.
Reading Data into R with readr
2.0
Datacamp2 learners
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This online course, Reading Data into R with readr, will teach you the features of Hadley Wickham's readr package. You'll learn how to import and export data sets, as well as more advanced topics like type conversion. With this course, you'll be able to read data into R with confidence and ease.
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