We may earn an affiliate commission when you visit our partners.
Christopher Venturini

R is a popular programming language within the growing statistical community. This course will teach you to write an R script, run that script independently, display processed data, and understand what frameworks R provides to troubleshoot issues.

Read more

R is a popular programming language within the growing statistical community. This course will teach you to write an R script, run that script independently, display processed data, and understand what frameworks R provides to troubleshoot issues.

Every good developer knows that being able to troubleshoot their code effectively is crucial to being productive. In this course, Creating and Debugging R Programs, you'll gain an understanding of how independently running scripts works within the R platform and how to quickly debug them in the case the need arises. First, you’ll explore the various data types that R provides and learn how to leverage them when processing data. Once you have those understood, you’ll learn how variables are leveraged within functions and how they’re encapsulated within a function’s environment. Finally, you'll discover how to write a non-interactive R script and schedule it to run on multiple platforms. When you’re finished with this course, you’ll have the skills and knowledge to successfully write and run your own independent scripts and troubleshoot running them in a production environment.

Enroll now

Here's a deal for you

We found an offer that may be relevant to this course.
Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

What's inside

Syllabus

Course Overview
Understanding the R Platform
Data Types
Processing Data with R
Read more
Outputting Data with R
Debugging R Interactively
R Environments
Running R Non-interactively
Debugging R Non-interactively
Troubleshooting and Avoiding Common Debugging Issues

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches R, which is a popular programming language within the growing statistical community
Explores debugging R scripts independently, which is useful when working with R scripts outside the R platform
Covers debugging R scripts non-interactively, which is useful when working with R scripts in a production environment
Develops troubleshooting R scripts, which is a skill highly valued in the development community

Save this course

Save Creating and Debugging R Programs to your list so you can find it easily later:
Save

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Creating and Debugging R Programs with these activities:
Compile a study guide
This will help reinforce the concepts covered in the course and provide a valuable resource for future reference.
Show steps
  • Review course notes, assignments, and quizzes
  • Identify key concepts and topics
  • Create a structured study guide
Review the books: Hands-On R Programming and R Programming for Data Science
R Programming for Data Science will introduce you to some of the same content as the course. Reading this book will help supplement your learning and provide you with addition examples and alternative explanations of the concepts you will learn.
Show steps
  • Purchase the book
  • Read chapters 1-3
  • Complete exercises in chapters 1-3
Solve coding challenges on LeetCode
LeetCode provides a wide range of coding challenges that will test your understanding of R syntax and problem-solving skills.
Browse courses on Coding Challenges
Show steps
  • Create a LeetCode account
  • Choose a difficulty level
  • Solve at least 5 coding challenges
Five other activities
Expand to see all activities and additional details
Show all eight activities
Join a study group with classmates
Group study sessions can provide opportunities to clarify concepts, share insights, and learn from others' perspectives.
Show steps
  • Find classmates who are interested in forming a study group
  • Set regular meeting times and locations
  • Establish ground rules for the group
  • Take turns leading discussions and presenting concepts
Follow online tutorials to learn advanced R techniques
There are many free and paid tutorials available online that can help you expand your knowledge and skills in R programming.
Browse courses on R Programming
Show steps
  • Identify areas where you want to improve your R skills
  • Search for online tutorials that cover those topics
  • Follow the tutorials and complete the exercises
Build a data visualization dashboard using R
This will put your R skills to the test and provide you a hands-on opportunity to practice your coding and data manipulation skills.
Browse courses on Data Visualization
Show steps
  • Ideate dashboard purpose and metrics
  • Collect and prepare data
  • Build visualizations in R
  • Create dashboard layout
  • Deploy dashboard
Participate in a Kaggle competition using R
Kaggle competitions provide a fun and challenging way to apply your R skills and compete with others.
Browse courses on Kaggle Competitions
Show steps
  • Create a Kaggle account
  • Find a competition that interests you
  • Build a model and submit your results
Contribute to an open-source R project
Contributing to open-source projects can provide hands-on experience and help you learn from others in the R community.
Browse courses on Open Source
Show steps
  • Find an open-source R project that aligns with your interests
  • Identify ways to contribute to the project
  • Submit a pull request or issue to the project

Career center

Learners who complete Creating and Debugging R Programs will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts collect and analyze raw data in order to make informed decisions about the future of a product, process, or organization. This course, Creating and Debugging R Programs, can help prepare you for a career as a Data Analyst. It will teach you the basics of R, a popular programming language used for data analysis, and how to use it to process and output data. You will also learn how to debug R programs, which is an essential skill for any Data Analyst.
Data Scientist
Data Scientists use their knowledge of statistics and programming to extract insights from data. They may work on a variety of projects, such as developing new products, improving customer service, or preventing fraud. This course, Creating and Debugging R Programs, can help you build a foundation for a career as a Data Scientist. It will teach you the basics of R, a popular programming language used for data analysis, and how to use it to process, output, and debug data.
Statistician
Statisticians collect, analyze, interpret, and present data. They work in a variety of fields, such as healthcare, finance, and marketing. This course, Creating and Debugging R Programs, can help you build a foundation for a career as a Statistician. It will teach you the basics of R, a popular programming language used for data analysis, and how to use it to process, output, and debug data.
Software Engineer
Software Engineers design, develop, and maintain software applications. They may work on a variety of projects, such as developing new products, improving customer service, or preventing fraud. This course, Creating and Debugging R Programs, can help you build a foundation for a career as a Software Engineer. It will teach you the basics of R, a popular programming language, and how to use it to develop and debug software.
Business Analyst
Business Analysts use their knowledge of business and technology to help organizations improve their performance. They may work on a variety of projects, such as developing new products, improving customer service, or reducing costs. This course, Creating and Debugging R Programs, can help you build a foundation for a career as a Business Analyst. It will teach you the basics of R, a popular programming language used for data analysis, and how to use it to process and output data.
Data Engineer
Data Engineers design, build, and maintain the infrastructure that stores and processes data. They work with a variety of data sources, such as databases, data warehouses, and cloud storage. This course, Creating and Debugging R Programs, can help you build a foundation for a career as a Data Engineer. It will teach you the basics of R, a popular programming language used for data analysis, and how to use it to process and output data.
Financial Analyst
Financial Analysts use their knowledge of finance and economics to help businesses make informed decisions about investments and other financial matters. This course, Creating and Debugging R Programs, can help you build a foundation for a career as a Financial Analyst. It will teach you the basics of R, a popular programming language used for data analysis, and how to use it to process and output data.
Market Researcher
Market Researchers collect and analyze data about consumer behavior. They use this information to help businesses develop new products, improve customer service, and target their marketing campaigns. This course, Creating and Debugging R Programs, can help you build a foundation for a career as a Market Researcher. It will teach you the basics of R, a popular programming language used for data analysis, and how to use it to process and output data.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to help businesses improve their operations. They may work on a variety of projects, such as optimizing supply chains, reducing costs, or improving customer service. This course, Creating and Debugging R Programs, can help you build a foundation for a career as an Operations Research Analyst. It will teach you the basics of R, a popular programming language used for data analysis, and how to use it to process and output data.
Product Manager
Product Managers are responsible for the development and launch of new products. They work with a variety of teams, such as engineering, marketing, and sales, to ensure that products meet the needs of customers. This course, Creating and Debugging R Programs, can help you build a foundation for a career as a Product Manager. It will teach you the basics of R, a popular programming language used for data analysis, and how to use it to process and output data.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical techniques to analyze financial data. They may work on a variety of projects, such as developing trading strategies, pricing financial instruments, or managing risk. This course, Creating and Debugging R Programs, can help you build a foundation for a career as a Quantitative Analyst. It will teach you the basics of R, a popular programming language used for data analysis, and how to use it to process and output data.
Risk Manager
Risk Managers are responsible for identifying, assessing, and managing risks. They work with a variety of teams, such as finance, operations, and IT, to ensure that risks are minimized. This course, Creating and Debugging R Programs, can help you build a foundation for a career as a Risk Manager. It will teach you the basics of R, a popular programming language used for data analysis, and how to use it to process and output data.
Sales Analyst
Sales Analysts collect and analyze data about sales. They use this information to help businesses develop new sales strategies, improve customer service, and target their marketing campaigns. This course, Creating and Debugging R Programs, can help you build a foundation for a career as a Sales Analyst. It will teach you the basics of R, a popular programming language used for data analysis, and how to use it to process and output data.
Technical Writer
Technical Writers create documentation for software, hardware, and other technical products. They work with a variety of teams, such as engineering, marketing, and sales, to ensure that documentation is accurate and easy to understand. This course, Creating and Debugging R Programs, can help you build a foundation for a career as a Technical Writer. It will teach you the basics of R, a popular programming language used for data analysis, and how to use it to process and output data.
User Experience Designer
User Experience Designers create products that are easy to use and enjoyable. They work with a variety of teams, such as engineering, marketing, and sales, to ensure that products meet the needs of users. This course, Creating and Debugging R Programs, may be useful for a career as a User Experience Designer. It will teach you the basics of R, a popular programming language used for data analysis, and how to use it to process and output data.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Creating and Debugging R Programs.
Will be useful as a general reference and guide to using R, and commonly used textbook in academic institutions. It covers a wide range of topics, from data manipulation and visualization to statistical modeling and machine learning.
Comprehensive guide to using R for data science. It covers everything from data wrangling and visualization to statistical modeling and machine learning. provides a solid foundation in data science concepts and techniques.
Is focused on data manipulation in R. It covers topics such as data import and export, data cleaning, and data transformation. It good resource for those who want to learn more about data manipulation in R.
Collection of recipes that provides solutions to common problems you may encounter when working with R. It covers everything from data import and manipulation to statistical analysis and graphics.
Practical guide to using R for deep learning. This will supplement the course well, as it focuses on the use of Keras, a high-level neural networks API, written in Python that can also run on top of R.
Collection of essays on the art of programming in R. It covers topics such as code style, debugging, and performance tuning. It valuable resource for those who want to improve their R programming skills.
Is great introduction to Bayesian statistics using R and Stan. It is well-written and provides a gentle introduction to Bayesian concepts. It good resource for those who want to learn more about Bayesian statistics.
Deep dive into the R programming language. If you want to take your R skills to the next level, then this book must-read. It covers advanced topics such as object-oriented programming, functional programming, and high-performance computing.
Collection of recipes that provides solutions to common problems you may encounter when creating graphics in R. It covers everything from basic plots to advanced visualizations.
Gentle introduction to R for those who have no prior programming experience. It covers the basics of the language, as well as some common statistical techniques.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Creating and Debugging R Programs.
Getting Started with PowerShell Scripting
Most relevant
Windows Workflows with Windows PowerShell
Most relevant
Screenwriting for Filmmakers
Most relevant
Automate R scripts with GitHub Actions: Deploy a model
Most relevant
RHEL 8: Creating Shell Scripts
Introduction to R Programming
Script Writing: Write a Pilot Episode for a TV or Web...
Building Your First R 3 Analytics Solution
Digital Platforms in Performance
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser