Basic Introduction to Data Science with R

Overview

Begin a wonderful journey designed to transform you from a data science enthusiast into a skilled practitioner. This learning path is crafted with a selection of courses aimed at providing you with the essential knowledge, tools, and methodologies for extracting valuable insights from data.

Syllabus

Course 1: Introduction to Data Science with R
Course 2: Data Manipulation in R with dplyr
Course 3: Data Visualization with ggplot2
Course 4: Introduction to Machine Learning with caret
Course 5: Practical Machine Learning with the mtcars Dataset in R

Courses

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2 hours
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Start your journey with data science in R, leveraging its powerful capabilities for statistical analysis and data visualization. This course covers essential data science concepts and prepares you for practical applications, ensuring a strong foundation in R for your data science endeavors.
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1 hour
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Master data manipulation using the dplyr package. This course will help you perform data wrangling tasks such as filtering, selecting, summarizing, and mutating data effectively.
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2 hours
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Learn to create powerful visualizations using ggplot2. This course takes you through the fundamentals of plotting, exploring various geom layers, and enhancing your visualizations with themes and annotations.
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2 hours
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Embark on your data science journey with the introduction to machine learning using the caret package in R. This course guides you through essential steps like data preprocessing, splitting datasets, training simple models, and evaluating their basic performance.
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2 hours
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Put your data science skills into practice by working on machine learning projects using the classic `mtcars` dataset in R. This course provides hands-on experience with end-to-end solutions, from data preprocessing to model evaluation, ensuring you are prepared for real-world tasks.