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Creating and Debugging R Programs

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.

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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.

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What's inside

Syllabus

Course Overview
Understanding the R Platform
Data Types
Processing Data with R
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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

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Activities

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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.

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