Learn to deal with the data using various modeling techniques
About This Video
Get to grips with data cleaning methods
Explore statistical concepts and programming in R, including best practices
Build a data science project with real-world examples
In Detail
R Programming Fundamentals, focused on R and the R ecosystem, introduces you to the tools for working with data. To start with, you'll understand you how to set up R and RStudio, followed by …
R Programming Fundamentals
Video description
Learn to deal with the data using various modeling techniques
About This Video
Get to grips with data cleaning methods
Explore statistical concepts and programming in R, including best practices
Build a data science project with real-world examples
In Detail
R Programming Fundamentals, focused on R and the R ecosystem, introduces you to the tools for working with data. To start with, you'll understand you how to set up R and RStudio, followed by exploring R packages, functions, data structures, control flow, and loops.
Once you have grasped the basics, you'll move on to studying data visualization and graphics. You'll learn how to build statistical and advanced plots using the powerful ggplot2 library. In addition to this, you'll discover data management concepts such as factoring, pivoting, aggregating, merging, and dealing with missing values.
By the end of this course, you'll have completed an entire data science project of your own for your portfolio or blog.
Audience
R Programming Fundamentals is for you if you are an analyst who wants to grow in the field of data science and explore the latest tools.
Variable Types and Data Structures: Variable Types
Variable Types and Data Structures: Data Structures
Basic Flow Control
Data Import and Export
Getting Help with R
RStudio Community, Stack Overflow, and the Rest of the Web
Lesson Summary
Chapter 2 : Data Visualization and Graphics
Introduction to Data Visualization and Graphics
Creating Base Plots Part I
Creating Base Plots Part II
Creating Base Plots Part III
ggplot2: Introduction
ggplot2: Histogram and Bar Chart
ggplot2: Scatterplots and boxplots
ggplot2: Digging in aes(), and Facet Wrapping and Gridding
ggplot2: Boxplot + coord_flip() and Adding Titles and Axis labels to ggplot2
Interactive Plots
Lesson Summary
Chapter 3 : Data Management
Lesson Overview
Factor Variables
Summarizing Data
Splitting and Combining Datasets
Merging and Joining Datasets
Lesson Summary
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