Dive into the world of data analysis with our comprehensive learning path specifically designed for R. This course series is aimed at constructing a robust understanding of data analysis, allowing you to interpret, visualize, and communicate data effectively.
Overview
Syllabus
- Data Manipulation in R
- Deep dive into data manipulation using dplyr in R. Understand and apply various dplyr functions for selecting, filtering, summarizing, and mutating data.
- Statistical Analysis with R
- Explore statistical analysis within R to perform descriptive and inferential statistics, understand probability distributions, and conduct hypothesis testing.
- Data Cleaning and Preprocessing with R
- Master the art of cleaning data using tidyr as part of the tidyverse ecosystem. Focus on techniques for dealing with missing values, reshaping data, and preparing datasets for analysis.
- Advanced Data Transformation Techniques
- Delve into advanced data transformation techniques with R to manage and manipulate complex datasets. Learn to merge datasets, create advanced visualizations, and optimize data processing.
- Hypothesis Testing in R
- Gain proficiency in hypothesis testing within the R environment. Learn to formulate, execute, and interpret various statistical tests to make data-driven decisions.
- Data Visualization with ggplot2
- Discover the power of data visualization in R using the ggplot2 package. Learn how to craft clear, informative, and appealing visual representations of data.
Courses
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Deep dive into data manipulation using dplyr in R. Understand and apply various dplyr functions for selecting, filtering, summarizing, and mutating data.
-
Explore statistical analysis within R to perform descriptive and inferential statistics, understand probability distributions, and conduct hypothesis testing.
-
Master the art of cleaning data using tidyr as part of the tidyverse ecosystem. Focus on techniques for dealing with missing values, reshaping data, and preparing datasets for analysis.
-
Delve into advanced data transformation techniques with R to manage and manipulate complex datasets. Learn to merge datasets, create advanced visualizations, and optimize data processing.
-
Gain proficiency in hypothesis testing within the R environment. Learn to formulate, execute, and interpret various statistical tests to make data-driven decisions.
-
Discover the power of data visualization in R using the ggplot2 package. Learn how to craft clear, informative, and appealing visual representations of data.
