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Advanced R Programming

This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include functional programming in R, robust error handling, object oriented programming, profiling and benchmarking, debugging, and proper design of functions. Upon completing this course you will be able to identify and abstract common data analysis tasks and to encapsulate them in user-facing functions. Because every data science environment encounters unique data challenges, there is always a need to develop custom software specific to your organization’s mission. You will also be able to define new data types in R and to develop a universe of functionality specific to those data types to enable cleaner execution of data science tasks and stronger reusability within a team.

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What's inside

Syllabus

Welcome to Advanced R Programming

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Teaches functional programming, a key aspect of R and its differentiation as a data analysis language

Taught by Roger D. Peng, PhD, an expert in data science and R programming

Develops skills in robust error handling, object oriented programming, profiling and benchmarking, and debugging

Coursework includes defining new data types in R and building a universe of customized functionality

Intended for learners who need to develop and use custom software tailored to their organization's data challenges

May require previous programming experience

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Reviews summary

Deep dive into advanced r programming

According to learners who have taken this course, it offers a deep dive into advanced R programming topics, focusing on building robust and reusable data science tools. Students found the coverage of functional programming, object oriented programming, debugging, and profiling particularly valuable. While many appreciated the comprehensive content and the practical application of concepts through assignments, some noted that the course is truly advanced and requires a solid foundation in R beforehand, warning that it is not suitable for beginners. The pace can be challenging for some, requiring effort to grasp difficult concepts. Overall, it's seen as a highly beneficial course for those looking to elevate their R skills.

Hands-on assignments solidify understanding.

"The assignments were well-designed and really helped me solidify my understanding of the material."

"Good balance of theory and practice through the exercises and projects."

"Applying the concepts in the assignments was crucial for learning."

Covers complex R topics in good detail.

"Provides excellent, in-depth coverage of topics like functional programming and S3/S4/R6 classes."

"The theoretical foundations and practical examples for OOP in R were very clear and detailed."

"I feel I gained a deep understanding of how R works under the hood from this course."

Learn valuable skills like debugging and profiling.

"The sections on debugging and profiling were incredibly practical and immediately applicable to my work."

"I finally understand how to profile my code to find bottlenecks, thanks to this course."

"Debugging tools explained here are game-changers for writing cleaner, more reliable code."

Some topics are difficult; pace can be fast.

"Some concepts, especially in functional programming and OOP, were quite challenging and required extra study."

"The pace can feel a bit fast when going through the more complex theoretical parts."

"I had to rewatch lectures and spend significant time on the material to fully grasp it."

Course material is advanced; not for beginners.

"This course is truly for advanced R users. You absolutely need a solid foundation before diving in."

"Definitely not for beginners. Make sure you're comfortable with base R concepts first."

"It assumes prior knowledge of R programming. Be prepared if you don't have it."

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 Advanced R Programming with these activities:

Review functions

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Review the basics of functions in R to refresh your memory and prepare for the course.

Browse courses on Functions

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Go over the course syllabus and identify the sections that cover functions.
Review your notes or textbooks on functions in R.
Complete the practice exercises in the course materials on functions.

Connect with experienced R programmers

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Seek out mentors who can provide guidance, support, and insights to enhance your learning journey in R programming.

Browse courses on R Programming

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Attend industry events or online forums to network with R professionals.
Reach out to experienced R programmers on LinkedIn or other platforms.
Explain your goals and interests, and ask for guidance.

Learn about functional programming in R

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Explore tutorials and resources on functional programming in R to enhance your understanding of this important concept.

Browse courses on Functional Programming

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Search for online tutorials on functional programming in R.
Follow along with the tutorials, taking notes and experimenting with the code.
Apply the concepts you learn to solve practical problems.

Four other activities

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Practice debugging R code

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Engage in debugging exercises to refine your ability to identify and resolve errors in R code.

Browse courses on Debugging

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Find online resources or books with debugging exercises for R.
Work through the exercises, attempting to debug and fix the code.
Analyze the solutions and learn from the common debugging techniques.

Develop a presentation on R programming best practices

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Create a presentation that summarizes and showcases the best practices for R programming, reinforcing your understanding of the concepts.

Browse courses on R Programming

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Gather information from the course materials and external resources.
Organize and structure the content of your presentation.
Create visuals and examples to illustrate the best practices.
Practice and refine your presentation skills.

Create a data analysis tool in R

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Embark on a project to develop a custom data analysis tool in R, applying the concepts and techniques learned in the course.

Browse courses on Data Analysis

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Identify a data analysis problem that you can solve with an R script.
Design and plan the structure of your R script, including functions and data structures.
Write and implement the R code for your tool.
Test and evaluate your tool to ensure it meets the requirements.

Contribute to open-source R projects

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Engage in open-source projects related to R programming, gaining practical experience and contributing to the community.

Browse courses on Open-Source

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Identify open-source R projects that align with your interests.
Contact the project maintainers to express your interest in contributing.
Review the project codebase and documentation.
Identify areas where you can contribute and make a pull request.

Career center

Learners who complete Advanced R Programming will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist analyzes data to make better business decisions, identify new opportunities, and improve customer experiences. As a Data Scientist, you will need advanced R programming skills, especially in functional programming, error handling, and debugging. This course teaches all these topics, so it is a perfect match for you if you wish to pursue a career in this field.

See salaries and explore the career path for Data Scientist

Statistician

A Statistician uses mathematical and statistical methods to collect, analyze, interpret, and present data. As a Statistician, you will need advanced R programming skills, especially in functional programming, error handling, and debugging. This course teaches all these topics, so it is a perfect match for you if you wish to pursue a career in this field.

See salaries and explore the career path for Statistician

Machine Learning Engineer

A Machine Learning Engineer designs and develops machine learning models to solve real-world problems. As a Machine Learning Engineer, you will need advanced R programming skills, especially in functional programming, error handling, and debugging. This course teaches all these topics, so it is a perfect match for you if you wish to pursue a career in this field.

See salaries and explore the career path for Machine Learning Engineer

Data Analyst

A Data Analyst collects, analyzes, interprets, and presents data to help businesses make better decisions. As a Data Analyst, you will need advanced R programming skills, especially in functional programming, error handling, and debugging. This course teaches all these topics, so it is a perfect match for you if you wish to pursue a career in this field.

See salaries and explore the career path for Data Analyst

Business Analyst

A Business Analyst identifies and solves business problems by analyzing data and developing recommendations. As a Business Analyst, you will need advanced R programming skills, especially in functional programming, error handling, and debugging. This course teaches all these topics, so it is a perfect match for you if you wish to pursue a career in this field.

See salaries and explore the career path for Business Analyst

Software Engineer

A Software Engineer designs, develops, and maintains software applications. As a Software Engineer, you will need advanced R programming skills, especially in functional programming, error handling, and debugging. This course teaches all these topics, so it is a perfect match for you if you wish to pursue a career in this field.

See salaries and explore the career path for Software Engineer

Quantitative Analyst

A Quantitative Analyst uses mathematical and statistical methods to analyze financial data and make investment decisions. As a Quantitative Analyst, you will need advanced R programming skills, especially in functional programming, error handling, and debugging. This course teaches all these topics, so it is a perfect match for you if you wish to pursue a career in this field.

See salaries and explore the career path for Quantitative Analyst

Financial Analyst

A Financial Analyst analyzes financial data to make investment decisions. As a Financial Analyst, you will need advanced R programming skills, especially in functional programming, error handling, and debugging. This course teaches all these topics, so it is a perfect match for you if you wish to pursue a career in this field.

See salaries and explore the career path for Financial Analyst

Risk Analyst

A Risk Analyst identifies and assesses risks to an organization or business. As a Risk Analyst, you will need advanced R programming skills, especially in functional programming, error handling, and debugging. This course teaches all these topics, so it is a perfect match for you if you wish to pursue a career in this field.

See salaries and explore the career path for Risk Analyst

Actuary

An Actuary uses mathematical and statistical methods to assess and manage risks. As an Actuary, you will need advanced R programming skills, especially in functional programming, error handling, and debugging. This course teaches all these topics, so it is a perfect match for you if you wish to pursue a career in this field.

See salaries and explore the career path for Actuary

Data Engineer

A Data Engineer designs and builds data pipelines to collect, store, and process data. As a Data Engineer, you will need advanced R programming skills, especially in functional programming, error handling, and debugging. This course teaches all these topics, so it is a perfect match for you if you wish to pursue a career in this field.

See salaries and explore the career path for Data Engineer

Database Administrator

A Database Administrator designs, implements, and maintains databases. As a Database Administrator, you will need advanced R programming skills, especially in functional programming, error handling, and debugging. This course teaches all these topics, so it is a perfect match for you if you wish to pursue a career in this field.

See salaries and explore the career path for Database Administrator

Software Developer

A Software Developer designs, develops, and maintains software applications. As a Software Developer, you will need advanced R programming skills, especially in functional programming, error handling, and debugging. This course teaches all these topics, so it is a perfect match for you if you wish to pursue a career in this field.

See salaries and explore the career path for Software Developer

Web Developer

A Web Developer designs and develops websites. As a Web Developer, you will need advanced R programming skills, especially in functional programming, error handling, and debugging. This course teaches all these topics, so it is a perfect match for you if you wish to pursue a career in this field.

See salaries and explore the career path for Web Developer

Technical Writer

A Technical Writer creates and maintains technical documentation. As a Technical Writer, you will need advanced R programming skills, especially in functional programming, error handling, and debugging. This course teaches all these topics, so it is a perfect match for you if you wish to pursue a career in this field.

See salaries and explore the career path for Technical Writer

Reading list

We've selected 15 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 Advanced R Programming.

R Packages

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Provides a comprehensive overview of advanced R programming techniques, including functional programming, object-oriented programming, and debugging.

Advanced R Programming

Here's a deal for you

What's inside

Syllabus

Traffic lights

Save this course

Reviews summary

Deep dive into advanced r programming

Activities

Career center

Reading list

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