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Arimoro Olayinka Imisioluwa
Welcome to this project-based course, Get Started with R Markdown. This project-based course is for people who are learning R and seek useful ways to organize their work in R. We will start this hands-on project with an overview of the project; then, we will get familiar with the RStudio interface and install the rmarkdown package. Be rest assured that you will learn a ton of good work here.
Read more
Welcome to this project-based course, Get Started with R Markdown. This project-based course is for people who are learning R and seek useful ways to organize their work in R. We will start this hands-on project with an overview of the project; then, we will get familiar with the RStudio interface and install the rmarkdown package. Be rest assured that you will learn a ton of good work here.
Read more
Welcome to this project-based course, Get Started with R Markdown. This project-based course is for people who are learning R and seek useful ways to organize their work in R. We will start this hands-on project with an overview of the project; then, we will get familiar with the RStudio interface and install the rmarkdown package. Be rest assured that you will learn a ton of good work here.
In this project, you will learn about R Markdowns and its’ usefulness to you as an R user. By the end of this 2-hour long project, you will be able to create an R Markdown, understand the different components of the file, knit the file as an HTML document or a pdf document and write some R Markdown commands. By extension, we will learn how to publish the knitted document on RPubs.
This project aims at learners looking to get started using the R programming language to create reproducible documents. There are no hard prerequisites, and any competent computer user should complete the project successfully.
Register for this course and see more details by visiting:
OpenCourser.com/course/37l420/get
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What's inside
Syllabus
Project Overview
Welcome to this project-based course, Get Started with R Markdown. This project-based course is for people who are learning R and seek useful ways to organize their work in R. We will start this hands-on project with an overview of the project; then, we will get familiar with the RStudio interface and install the rmarkdown package. Be rest assured that you will learn a ton of good work here.
In this project, you will learn about R Markdowns and its’ usefulness to you as an R user. By the end of this 2-hour long project, you will be able to create an R Markdown, understand the different components of the file, knit the file as an HTML document or a pdf document and write some R Markdown commands. By extension, we will learn how to publish the knitted document on RPubs.
This project aims at learners looking to get started using the R programming language to create reproducible documents. There are no hard prerequisites, and any competent computer user should complete the project successfully.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches skills and knowledge relevant to industry
Relevant to beginners new to R Markdown
Strong foundation for intermediate learners
Develops core skills of R Markdown for organizing work
Taught by reputable instructors
Course offered through reputable provider
Save this course
Save Get Started with R Markdown to your list so you can find it easily later:
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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 Get Started with R Markdown with these
activities:
Review the basics of R before starting the course
Show steps
Reviewing the basics of R before starting the course will refresh your memory on the fundamental concepts of the language, making it easier to follow along with the course material.
Browse courses on
R
Show steps
-
Read a refresher tutorial on R.
-
Take a practice quiz on R basics.
Organize your course materials into a single notebook
Show steps
Organizing your course materials into a single notebook will help you keep track of all the materials you need for the course and easily find the information you need when you need it.
Show steps
-
Create a new notebook.
-
Add all of your course materials to the notebook.
-
Organize the materials into sections.
Watch a tutorial on R Markdown syntax
Show steps
Watching a tutorial on R Markdown syntax will provide you with a structured overview of the language's syntax, helping you get started with using the language.
Browse courses on
R Markdown
Show steps
-
Find a reputable tutorial on R Markdown syntax.
-
Watch the tutorial and take notes on the syntax.
-
Practice using the syntax in a text editor or IDE.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Create an R Markdown document and knit it to HTML
Show steps
Creating an R Markdown document and knitting it to HTML will provide you with hands-on experience with the process, helping you solidify your understanding of the concepts.
Browse courses on
R Markdown
Show steps
-
Create a new R Markdown document.
-
Write some R code in the document.
-
Knit the document to HTML.
Attend a workshop on R Markdown
Show steps
Attending a workshop on R Markdown will provide you with an opportunity to learn from experts in the field and get hands-on experience with the software.
Show steps
-
Find a workshop on R Markdown.
-
Register for the workshop.
-
Attend the workshop.
Write a blog post about your experience learning R Markdown
Show steps
Writing a blog post about your experience learning R Markdown will help you reflect on what you have learned and share your knowledge with others, reinforcing your understanding of the material.
Show steps
-
Choose a topic for your blog post.
-
Write an outline for your post.
-
Write the content for your post.
-
Edit and proofread your post.
-
Publish your post on your blog or website.
Start a project that uses R Markdown to create a report
Show steps
Starting a project that uses R Markdown to create a report will provide you with a practical application of the skills you have learned, helping you apply your knowledge to a real-world task.
Show steps
-
Identify a problem or question that you want to explore.
-
Gather the data that you need to answer your question.
-
Analyze the data using R.
-
Create a report using R Markdown.
-
Present your findings to others.
Participate in a Kaggle competition that uses R Markdown
Show steps
Participating in a Kaggle competition that uses R Markdown will challenge you to apply your skills to a real-world problem, helping you develop your expertise in both R Markdown and data science.
Browse courses on
Kaggle
Show steps
-
Find a Kaggle competition that interests you.
-
Read the competition description and data.
-
Develop a strategy for solving the competition.
-
Implement your strategy using R Markdown.
-
Submit your solution to the competition.
Review the basics of R before starting the course
Show steps
Reviewing the basics of R before starting the course will refresh your memory on the fundamental concepts of the language, making it easier to follow along with the course material.
Browse courses on
R
Show steps
Show steps
Show steps
- Read a refresher tutorial on R.
- Take a practice quiz on R basics.
Organize your course materials into a single notebook
Show steps
Organizing your course materials into a single notebook will help you keep track of all the materials you need for the course and easily find the information you need when you need it.
Show steps
Show steps
Show steps
- Create a new notebook.
- Add all of your course materials to the notebook.
- Organize the materials into sections.
Watch a tutorial on R Markdown syntax
Show steps
Watching a tutorial on R Markdown syntax will provide you with a structured overview of the language's syntax, helping you get started with using the language.
Browse courses on
R Markdown
Show steps
Show steps
Show steps
- Find a reputable tutorial on R Markdown syntax.
- Watch the tutorial and take notes on the syntax.
- Practice using the syntax in a text editor or IDE.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Create an R Markdown document and knit it to HTML
Show steps
Creating an R Markdown document and knitting it to HTML will provide you with hands-on experience with the process, helping you solidify your understanding of the concepts.
Browse courses on
R Markdown
Show steps
Show steps
Show steps
- Create a new R Markdown document.
- Write some R code in the document.
- Knit the document to HTML.
Attend a workshop on R Markdown
Show steps
Attending a workshop on R Markdown will provide you with an opportunity to learn from experts in the field and get hands-on experience with the software.
Show steps
Show steps
Show steps
- Find a workshop on R Markdown.
- Register for the workshop.
- Attend the workshop.
Write a blog post about your experience learning R Markdown
Show steps
Writing a blog post about your experience learning R Markdown will help you reflect on what you have learned and share your knowledge with others, reinforcing your understanding of the material.
Show steps
Show steps
Show steps
- Choose a topic for your blog post.
- Write an outline for your post.
- Write the content for your post.
- Edit and proofread your post.
- Publish your post on your blog or website.
Start a project that uses R Markdown to create a report
Show steps
Starting a project that uses R Markdown to create a report will provide you with a practical application of the skills you have learned, helping you apply your knowledge to a real-world task.
Show steps
Show steps
Show steps
- Identify a problem or question that you want to explore.
- Gather the data that you need to answer your question.
- Analyze the data using R.
- Create a report using R Markdown.
- Present your findings to others.
Participate in a Kaggle competition that uses R Markdown
Show steps
Participating in a Kaggle competition that uses R Markdown will challenge you to apply your skills to a real-world problem, helping you develop your expertise in both R Markdown and data science.
Browse courses on
Kaggle
Show steps
Show steps
Show steps
- Find a Kaggle competition that interests you.
- Read the competition description and data.
- Develop a strategy for solving the competition.
- Implement your strategy using R Markdown.
- Submit your solution to the competition.
Career center
Learners who complete Get Started with R Markdown will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use their skills in mathematics, statistics, and computer programming to extract insights from data. They work in a variety of industries, including finance, healthcare, and retail. Get Started with R Markdown may be especially helpful for someone who wishes to become a Data Scientist because it provides hands-on experience with using R, a popular programming language for data science.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. They work in a variety of industries, including technology, finance, and healthcare. Get Started with R Markdown may be especially helpful for someone who wishes to become a Machine Learning Engineer because it provides hands-on experience with using R, a popular programming language for machine learning.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. They use their skills in statistics, programming, and data visualization to identify trends and patterns in data. Get Started with R Markdown may be especially helpful for someone who wishes to become a Data Analyst because it provides hands-on experience with using R to analyze and visualize data.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical techniques to analyze financial data. They work in a variety of industries, including technology, finance, and healthcare. Get Started with R Markdown may be especially helpful for someone who wishes to become a Quantitative Analyst because it provides hands-on experience with using R, a popular programming language for data analysis.
Research Analyst
Research Analyst
Research Analysts collect, analyze, and interpret data to help businesses make informed decisions. They work in a variety of industries, including finance, healthcare, and retail. Get Started with R Markdown may be especially helpful for someone who wishes to become a Research Analyst because it provides hands-on experience with using R, a popular programming language for data analysis.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data. They work in a variety of fields, including research, government, and business. Get Started with R Markdown may be especially helpful for someone who wishes to become a Statistician because it provides hands-on experience with using R, a popular programming language for statistics.
Financial Analyst
Financial Analyst
Financial Analysts analyze financial data to help businesses make informed decisions. They work in a variety of industries, including technology, finance, and healthcare. Get Started with R Markdown may be especially helpful for someone who wishes to become a Financial Analyst because it provides hands-on experience with using R, a popular programming language for data analysis.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines. They work in a variety of industries, including technology, finance, and healthcare. Get Started with R Markdown may be especially helpful for someone who wishes to become a Data Engineer because it provides hands-on experience with using R, a popular programming language for data engineering.
Business Analyst
Business Analyst
Business Analysts analyze business processes and develop solutions to improve efficiency and productivity. They work in a variety of industries, including technology, finance, and healthcare. Get Started with R Markdown may be especially helpful for someone who wishes to become a Business Analyst because it provides hands-on experience with using R, a popular programming language for data analysis.
Marketing Analyst
Marketing Analyst
Marketing Analysts analyze marketing data to help businesses make informed decisions. They work in a variety of industries, including technology, finance, and healthcare. Get Started with R Markdown may be especially helpful for someone who wishes to become a Marketing Analyst because it provides hands-on experience with using R, a popular programming language for data analysis and visualization.
Technical Writer
Technical Writer
Technical Writers create instruction manuals, how-to guides, and other documentation. Many are experienced in the software development field, have a strong background in computer programming and software engineering, and possess excellent writing skills. Get Started with R Markdown may be especially helpful for someone who wishes to become a Technical Writer because it provides hands-on experience with creating reproducible documents, a skill that is in great demand in this field.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and statistical techniques to solve business problems. They work in a variety of industries, including technology, finance, and healthcare. Get Started with R Markdown may be especially helpful for someone who wishes to become an Operations Research Analyst because it provides hands-on experience with using R, a popular programming language for data analysis and optimization.
Product Manager
Product Manager
Product Managers plan and develop new products and features. They work in a variety of industries, including technology, finance, and healthcare. Get Started with R Markdown may be especially helpful for someone who wishes to become a Product Manager because it provides hands-on experience with using R, a popular programming language for data analysis and visualization.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They work in a variety of industries, including technology, finance, and healthcare. Get Started with R Markdown may be especially helpful for someone who wishes to become a Software Engineer because it provides hands-on experience with using R, a popular programming language for software development.
Web Developer
Web Developer
Web Developers design and develop websites. They work in a variety of industries, including technology, marketing, and education. Get Started with R Markdown may be especially helpful for someone who wishes to become a Web Developer because it provides hands-on experience with using R, a popular programming language for web development.
For more career information including salaries, visit:
OpenCourser.com/course/37l420/get
Reading list
We've selected 13 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
Get Started with R Markdown.
Save
Provides comprehensive coverage of R Markdown, including its syntax, features, and applications. It is an excellent resource for anyone looking to learn more about R Markdown, regardless of their skill level.
Save
Provides a comprehensive overview of the R Markdown language and its various components. It valuable resource for both beginners and experienced users who want to learn more about R Markdown.
Save
Provides a collection of recipes that demonstrate how to use R Markdown to solve common data analysis and reporting tasks. It practical guide that is useful for both beginners and experienced users who want to learn more about R Markdown.
Save
Provides a collection of recipes for using R Markdown. It covers topics such as creating documents, presentations, and interactive web applications. It good resource for anyone looking to learn how to use R Markdown.
Save
Provides a practical introduction to R for data science. It covers topics such as data manipulation, visualization, and modeling. It good resource for anyone looking to learn how to use R for data science.
Save
Provides an in-depth look at advanced R programming techniques, including data manipulation, visualization, and modeling. It valuable resource for anyone looking to improve their R skills.
Provides a practical guide to reproducible research using R and RStudio. It covers topics such as version control, data management, and report writing. It good resource for anyone looking to learn how to conduct reproducible research using R.
Provides a comprehensive overview of RStudio. It covers topics such as the RStudio interface, RStudio add-ins, and RStudio Markdown. It good resource for anyone looking to learn how to use RStudio.
Practical guide for web developers who want to use R Markdown to create reproducible and shareable web applications. It valuable resource for those who want to learn more about R Markdown and how to use it to create web applications.
Provides a practical introduction to R programming. It covers topics such as data manipulation, visualization, and modeling. It good resource for anyone looking to learn how to use R for data analysis.
Save
Provides a comprehensive overview of R, including its history, syntax, and applications. It good resource for anyone looking to learn more about the basics of R.
Provides a gentle introduction to R programming. It covers topics such as data types, control flow, and functions. It good resource for anyone looking to learn the basics of R programming.
Save
Provides a comprehensive introduction to R programming. It covers topics such as data types, control flow, and functions. It good resource for anyone looking to learn the basics of R programming.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/37l420/get
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Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Arimoro Olayinka Imisioluwa
Language
English
Good to know
Teaches skills and knowledge relevant to industry
Relevant to beginners new to R Markdown
Strong foundation for intermediate learners
Develops core skills of R Markdown for organizing work
Taught by reputable instructors
Course offered through reputable provider
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