Aspire Journeys

Data Analysis with R

  • 22 Courses | 27h 38m 10s
  • 1 Lab
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R programming language is widely used for statistical analysis and modelling and data mining. In this Skillsoft Aspire journey, you will start by exploring the basics of R language, followed by applying the programming structures. You will then learn data analysis in R by exploring and working with Datasets in R and learn very important statistical concepts and how to apply them while analyzing and modelling your data in R.

Track 1: Getting Started with R Programming

In this track of the Data Analysis with R Skillsoft Aspire journey, the focus will be on R programming for beginners. Explore the basics of R.

  • 5 Courses | 6h 51m 45s

Track 2: Applying and Using R Programming Structures

In this track of the Data Analysis with R Skillsoft Aspire journey, the focus will be on R programming structures. Explore control flow, functions, and object systems. 

  • 4 Courses | 4h 5m 5s

Track 3: Working with Datasets in R

In this track of the Data Analysis with R Skillsoft Aspire journey, the focus will be on R datasets. Explore how to load, save, and transform data as well as select, filter, join, and visualize data.

  • 5 Courses | 6h 24m

Track 4: Statistical Analysis and Modeling in R

In this track of the Data Analysis with R Skillsoft Aspire journey, the focus will be on statistical analysis and modeling in R. Explore probability distributions, statistical tests, regression analysis, clustering, and regularized models.

  • 8 Courses | 10h 17m 20s
  • 1 Lab

COURSES INCLUDED

R Programming for Beginners: Getting Started
The free and robust statistical package R has been decades in the making and is worth learning for serious statistical operations, such as conducting new medical data analysis. This course teaches you everything you need to know to get started with R, from installing R to running R from the command line. You'll grasp how to invoke basic functions and view the documentation on those. You'll create variables in R and explore various reserved words and the = and <- operators. You'll then perform basic arithmetic operations on variables, invoke built-in functions, and work with various atomic data types, such as character, integer, double, logical, complex, real, and raw. By the end of this course, you'll have the skills you need to get working with R.
13 videos | 1h
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R Programming for Beginners: Exploring R Vectors
Vectors are the easiest type of data structures in R. However, to use them successfully, it's important to appreciate their restrictions, recognize the types available, and identify their members - or components as they're officially called in R. This course shows you how to create and generate vectors using the c() and vector() functions, respectively. You'll perform vectorized operations on elements in vectors. Practice filtering and slicing vectors. And use the which(), any(), and all() functions on vectors. Furthermore, you'll perform naming and indexing operations on vectors and work with different length vectors using vector recycling. On completing this course, you'll have the knowledge and know-how to utilize vectors for their intended purpose.
11 videos | 1h
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R Programming for Beginners: Leveraging R with Matrices, Arrays, & Lists
Vectors are a great basic data structure in R, but they have important limitations on the dimensions and types of data they contain. Matrices, arrays, and lists are powerful R structures that mitigate these limitations. This course will help you distinguish each of these three elements' purpose and show you how to use them. You'll start by using matrices to store two-dimensional data. You'll then differentiate between row-major and column-major matrices. You'll learn how to use arrays and how you can easily create three-dimensional arrays as you can two-dimensional arrays. You'll then move on to the use of lists and how they differ from vectors. After taking this course, you'll be able to identify when and how to use a matrix, a list, and an array.
14 videos | 1h
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R Programming for Beginners: Understanding Data Frames, Factors, & Strings
Data frames are an R abstraction for tabular data similar to that contained in spreadsheet files or database tables. Data frames can work directly with files in the CSV, JSON, and Excel format, all common formats used to store data. This course outlines the characteristics of data frames in the R programming language and demonstrates how to use them. You'll learn to create basic R data frames from multiple vectors. You'll use factors - similar to enums or enumerated types in other programming languages and great for categorical variables. You'll also learn how to perform various string manipulation operations, such as splitting and joining strings and changing case. You'll then practice the important topic of printing precisely formatted strings with placeholders for variable values. When you're done, you'll be able to use data frames, factors, and strings professionally in your R programming projects.
14 videos | 1h
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Final Exam: Getting Started with R Programming
Final Exam: Getting Started with R Programming will test your knowledge and application of the topics presented throughout the Getting Started with R Programming track of the Skillsoft Aspire Data Analysis with R Journey.
1 video | 35s
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Using R Programming Structures: Leveraging R with Control Flow & Looping
Becoming adept at using R will form a valuable part of your statistical data analysis programming language toolkit. Achieving this involves learning how to utilize the functional programming structures of R. This course shows how to use conditional constructs, statements, looping, and functions effectively in R. You'll practice using if, else, and the ifelse functions and the switch construct. You'll work with for and while loops. Recognize the next and break statements in R. And examine the repeat loop, which does not have a condition at all and must be used with a break statement. You'll then move on to advanced looping using the vapply(), lapply(), and sapply() functions in R. By the end of this course, you'll be able to use f R for control flow and looping.
10 videos | 1h
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Using R Programming Structures: Functions & Environments
R supports several powerful features, such as first-class functions, functions on the left-hand side of an assignment, and explicit environment objects that bind variables to values. Taken together, these make R a powerful language for functional programming. This course will show you how to work effectively with functions in R. Specifically, you'll learn how to create and invoke functions in R and leverage R support for functional programming and first-class functions. You'll recognize how an R environment is a virtual binding between variable names and values. You'll create nested environments and leverage the fact that individual functions have their own local environments. You'll also create and invoke closures as well as replacement functions. By the end of the course, you'll have the confidence to work with functions in your R programming projects.
13 videos | 1h
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Using R Programming Structures: Object Systems
R supports not one but multiple alternative object-oriented programming paradigms. These are known as object systems and constitute a relatively underutilized but incredibly powerful feature of the R language. This course will show you how to work effectively with object systems in R. You'll begin by identifying different object systems. You'll then examine how the S3 object system allows some features of object-oriented programming, albeit in a very different form from other OOP languages. You'll move to leverage the R5 object system, also known as the system of reference classes, to create classes and instantiate objects, specify member variables and methods, and initialize values of member functions. You'll also implement inheritance using the system of reference classes. When you're done with this course, you'll be able to utilize different object systems in your R programming projects.
9 videos | 1h
has Assessment available Badge
Final Exam: Applying and Using R Programming Structures
Final Exam: Applying and Using R Programming Structures will test your knowledge and application of the topics presented throughout the Applying and Using R Programming Structures track of the Skillsoft Aspire Data Analysis with R Journey.
1 video | 35s
has Assessment available Badge
Datasets in R: Loading & Saving Data
Transforming and manipulating massive amounts of data is crucial for all organizations. The R programming language offers a plethora of packages to load, explore, manipulate, and transform data. R is ideal for data analysis, mutation, and cleaning, making it a choice language for statisticians and data scientists. In this course, you'll learn how to write R script files using the RStudio environment. You'll use different panes to debug and ev