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.
Table of Contents
-
Chapter 1 : Introduction to R
- Course Overview 00:01:46
- Installation and Setup 00:02:25
- Lesson Overview 00:01:10
- Using R, RStudio, and Installing Useful Packages 00:08:03
- Variable Types and Data Structures: Variable Types 00:04:39
- Variable Types and Data Structures: Data Structures 00:12:45
- Basic Flow Control 00:14:51
- Data Import and Export 00:11:13
- Getting Help with R 00:02:39
- RStudio Community, Stack Overflow, and the Rest of the Web 00:02:11
- Lesson Summary 00:00:45
-
Chapter 2 : Data Visualization and Graphics
- Introduction to Data Visualization and Graphics 00:00:59
- Creating Base Plots Part I 00:05:05
- Creating Base Plots Part II 00:02:24
- Creating Base Plots Part III 00:02:25
- ggplot2: Introduction 00:03:33
- ggplot2: Histogram and Bar Chart 00:04:11
- ggplot2: Scatterplots and boxplots 00:03:20
- ggplot2: Digging in aes(), and Facet Wrapping and Gridding 00:06:01
- ggplot2: Boxplot + coord_flip() and Adding Titles and Axis labels to ggplot2 00:04:42
- Interactive Plots 00:02:19
- Lesson Summary 00:00:51
-
Chapter 3 : Data Management
- Lesson Overview 00:00:55
- Factor Variables 00:11:14
- Summarizing Data 00:08:19
- Splitting and Combining Datasets 00:11:50
- Merging and Joining Datasets 00:09:39
- Lesson Summary 00:01:14
Product Information
- Title: R Programming Fundamentals
- Author(s):
- Release date: October 2018
- Publisher(s): Packt Publishing
- ISBN: 9781789807547