Packt
Foundations of R Programming and Basic Data Manipulation
Packt

Foundations of R Programming and Basic Data Manipulation

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Recall the steps to install and configure R and RStudio

  • Explain how to manipulate various data types and structures in R

  • Use operators, loops, and functions to write efficient R code

  • Assess advanced data manipulation techniques such as piping, filtering, aggregation, reshaping, and joining datasets

Details to know

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Recently updated!

September 2024

Assessments

4 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the R Ultimate 2023 - R for Data Science and Machine Learning Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 7 modules in this course

In this module, we will embark on a guided tour of the course layout, covering essential tools and resources like R, RStudio, and course code access. We will also establish our project setup and understand various file formats, culminating in dynamic documentation using Rmarkdown.

What's included

6 videos2 readings

In this module, we will delve into fundamental data types and structures in R. From basic types like integers and logical values to complex structures like matrices, arrays, and data frames, we will explore and manipulate these elements to build a solid data science foundation.

What's included

8 videos

In this module, we will explore the core programming constructs in R. We will cover operators, loops, and functions, providing both theoretical understanding and practical experience through labs, enabling us to automate tasks and write efficient code.

What's included

6 videos1 assignment

In this module, we will learn to handle data import and export processes in R. From fetching data from diverse origins to saving and sharing results, we will also explore web scraping techniques to extract valuable information from online sources.

What's included

4 videos

In this module, we will master essential data manipulation techniques in R. We will learn to construct efficient data pipelines, filter data subsets, aggregate large datasets, and reshape data structures. Labs will reinforce our practical skills through real-world challenges.

What's included

11 videos1 assignment

In this module, we will explore data visualization techniques using R. From static plots with ggplot2 to interactive visualizations with plotly and leaflet, we will learn to communicate data insights effectively. Practical labs will enhance our skills in creating compelling visual narratives.

What's included

9 videos

In this module, we will tackle advanced data manipulation techniques. We will learn to detect and manage outliers and missing data, ensuring robust analyses. Additionally, we will explore regular expressions for powerful text data manipulation, enhancing our data processing capabilities.

What's included

8 videos1 reading2 assignments

Instructor

Packt
Packt
196 Courses2,786 learners

Offered by

Packt

Recommended if you're interested in Data Analysis

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