R is a leading language in data science and statistics due to its robust packages and versatility. This path covers essential R skills, from basics to advanced data manipulation and visualization, preparing you for proficient data analysis.
Overview
Syllabus
- Foundations of R
- Start your programming journey with R by understanding the fundamentals. This course covers basic R syntax, strings, numeric operations, vectors, conditionals, and essential statistical functions. By the end of this course, you will be comfortable with the basics of R programming and ready to explore data manipulation.
- Data Frames in R
- Dive into one of the most essential data structures in R: data frames. This course will teach you how to create, manipulate, and perform operations on data frames, a fundamental skill for data analysis and manipulation.
- Intermediate Data Manipulation with dplyr
- Advance your data manipulation skills using the dplyr package. This course covers essential dplyr functions for filtering, selecting, mutating, summarizing, and more. By the end, you'll be proficient in creating efficient data pipelines for real-world datasets.
- Mastering Data Wrangling with tidyr
- Gain expertise in reshaping and tidying data using the tidyr package. This course will equip you with the skills to transform data into a tidy format, manage missing values effectively, and pivot data frames seamlessly. By the end of this course, you will be proficient in preparing data for comprehensive analysis, enabling you to handle real-world data challenges with confidence.
- Comprehensive Data Visualization with ggplot2
- Unleash your creativity in data visualization with ggplot2. This final course covers the essentials of creating and customizing visualizations, from basic plots to advanced graphical representations. Perfectly conclude your learning path, equipping you with the ability to visualize complex data insights.
Courses
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Start your programming journey with R by understanding the fundamentals. This course covers basic R syntax, strings, numeric operations, vectors, conditionals, and essential statistical functions. By the end of this course, you will be comfortable with the basics of R programming and ready to explore data manipulation.
-
Dive into one of the most essential data structures in R: data frames. This course will teach you how to create, manipulate, and perform operations on data frames, a fundamental skill for data analysis and manipulation.
-
Advance your data manipulation skills using the dplyr package. This course covers essential dplyr functions for filtering, selecting, mutating, summarizing, and more. By the end, you'll be proficient in creating efficient data pipelines for real-world datasets.
-
Gain expertise in reshaping and tidying data using the tidyr package. This course will equip you with the skills to transform data into a tidy format, manage missing values effectively, and pivot data frames seamlessly. By the end of this course, you will be proficient in preparing data for comprehensive analysis, enabling you to handle real-world data challenges with confidence.
-
Unleash your creativity in data visualization with ggplot2. This final course covers the essentials of creating and customizing visualizations, from basic plots to advanced graphical representations. Perfectly conclude your learning path, equipping you with the ability to visualize complex data insights.
