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Emmanuel Segui
Dans ce cours d'une heure, basé sur un projet, vous apprendrez comment démarrer avec RStudio IDE, sur votre ordinateur ou sur la solution en ligne de RStudio, comment créer des projets, installer des librairies R, ainsi qu'apprendre comment afficher des cartes interactives, des graphiques et des tableaux avec 1 ligne de code. Remarque : ce cours fonctionne le mieux pour les étudiants basés en Amérique du Nord. Nous nous efforçons actuellement d'apporter la même expérience dans d'autres régions.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces beginners to RStudio, a popular and widely-used software in data science and analytics
Hands-on project-based learning that enables learners to immediately apply their understanding
Covers essential RStudio skills, including project creation, library installation, and data visualization
Taught by an experienced instructor with a proven track record in data science and RStudio
Suitable for learners with no prior knowledge of RStudio or data science
Course duration is relatively short, allowing learners to quickly gain introductory-level knowledge and skills in RStudio

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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 Tout Pour Démarrer avec RStudio with these activities:
Explore the RStudio Data Viewer
Gain familiarity with the powerful RStudio environment by stepping through guided tutorials focused on data exploration.
Browse courses on RStudio
Show steps
  • Access the RStudio Data Viewer.
  • Explore the different tabs and functionalities.
  • Practice loading and filtering datasets.
  • Create visualizations to gain insights.
Review R for Data Science (2nd ed)
Solidify your foundational knowledge in R syntax and techniques by studying this highly recommended text.
Show steps
  • Identify the core concepts covered.
  • Apply key techniques to the datasets provided.
  • Engage with online forums or communities to discuss your findings.
Join a Study Group
Enhance your learning through collaborative discussions, problem-solving, and shared knowledge with fellow students.
Show steps
  • Form or join a study group with peers.
  • Establish regular meeting times.
  • Take turns leading discussions and presenting concepts.
  • Provide feedback and support to each other.
Four other activities
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Attend R User Group Meetups
Connect with other R enthusiasts and practitioners at local meetups to exchange knowledge and expand your network.
Show steps
  • Find R User Group meetups in your area.
  • Attend meetups regularly and introduce yourself.
  • Participate in discussions and share your experiences.
Develop a R Markdown Report
Enhance your communication skills by creating compelling analytical reports that combine text, code, and visualizations.
Browse courses on R Markdown
Show steps
  • Identify the key insights you want to convey.
  • Structure your report using R Markdown syntax.
  • Incorporate visualizations to illustrate your findings.
  • Format your report for clarity and presentation.
  • Share your insights with peers or an online community.
Build an R Shiny App
Deepen your understanding of data visualization and user interaction by creating a functional Shiny app.
Browse courses on Shiny
Show steps
  • Design the user interface for your app.
  • Connect your app to a real-world dataset.
  • Develop interactive visualizations and dashboards.
  • Deploy your app online and gather user feedback.
Contribute to RStudio Tutorials
Gain practical experience and deepen your understanding of R by contributing to the extensive library of RStudio tutorials.
Browse courses on Community Involvement
Show steps
  • Identify areas in RStudio tutorials that you can improve.
  • Submit a pull request with your proposed changes.
  • Engage with the RStudio team and seek feedback.
  • Celebrate your contributions and share your experience with others.

Career center

Learners who complete Tout Pour Démarrer avec RStudio will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists are responsible for collecting, cleaning, analyzing, and interpreting data. They use their findings to help businesses make better decisions. This course can help Data Scientists learn how to use RStudio IDE to create projects, install R libraries, and display interactive maps, graphs, and tables with just one line of code. These skills can help Data Scientists improve their productivity and effectiveness.
Data Analyst
Data Analysts use their knowledge of math, statistics, and computer programming to analyze data patterns and trends. They use their findings to solve business problems, improve efficiency, and make better decisions. This course can help Data Analysts learn how to use RStudio IDE to create projects, install R libraries, and display interactive maps, graphs, and tables with just one line of code. These skills can help Data Analysts improve their productivity and effectiveness.
Quantitative Analyst
Quantitative Analysts use their knowledge of mathematics, statistics, and computer programming to analyze financial data and develop trading strategies. This course can help Quantitative Analysts learn how to use RStudio IDE to create projects, install R libraries, and display interactive maps, graphs, and tables with just one line of code. These skills can help Quantitative Analysts improve their productivity and effectiveness.
Financial Analyst
Financial Analysts use their knowledge of finance, accounting, and economics to analyze financial data and make investment recommendations. This course can help Financial Analysts learn how to use RStudio IDE to create projects, install R libraries, and display interactive maps, graphs, and tables with just one line of code. These skills can help Financial Analysts improve their productivity and effectiveness.
Actuary
Actuaries use their knowledge of mathematics, statistics, and business to assess and manage risk. This course can help Actuaries learn how to use RStudio IDE to create projects, install R libraries, and display interactive maps, graphs, and tables with just one line of code. These skills can help Actuaries improve their productivity and effectiveness.
Risk Analyst
Risk Analysts use their knowledge of risk management to identify, assess, and mitigate risks. This course can help Risk Analysts learn how to use RStudio IDE to create projects, install R libraries, and display interactive maps, graphs, and tables with just one line of code. These skills can help Risk Analysts improve their productivity and effectiveness.
Business Analyst
Business Analysts use their knowledge of business and technology to analyze business processes and make recommendations for improvement. This course can help Business Analysts learn how to use RStudio IDE to create projects, install R libraries, and display interactive maps, graphs, and tables with just one line of code. These skills can help Business Analysts improve their productivity and effectiveness.
Market Researcher
Market Researchers use their knowledge of marketing research to collect, analyze, and interpret data about consumer behavior. This course can help Market Researchers learn how to use RStudio IDE to create projects, install R libraries, and display interactive maps, graphs, and tables with just one line of code. These skills can help Market Researchers improve their productivity and effectiveness.
UX Researcher
UX Researchers use their knowledge of user experience (UX) research to improve the user experience of products and services. This course can help UX Researchers learn how to use RStudio IDE to create projects, install R libraries, and display interactive maps, graphs, and tables with just one line of code. These skills can help UX Researchers improve their productivity and effectiveness.
Statistician
Statisticians use their knowledge of statistics to collect, analyze, and interpret data. This course can help Statisticians learn how to use RStudio IDE to create projects, install R libraries, and display interactive maps, graphs, and tables with just one line of code. These skills can help Statisticians improve their productivity and effectiveness.
Epidemiologist
Epidemiologists use their knowledge of epidemiology to investigate the causes and distribution of diseases. This course can help Epidemiologists learn how to use RStudio IDE to create projects, install R libraries, and display interactive maps, graphs, and tables with just one line of code. These skills can help Epidemiologists improve their productivity and effectiveness.
Public Health Analyst
Public Health Analysts use their knowledge of public health to analyze and interpret data about the health of populations. This course can help Public Health Analysts learn how to use RStudio IDE to create projects, install R libraries, and display interactive maps, graphs, and tables with just one line of code. These skills can help Public Health Analysts improve their productivity and effectiveness.
Environmental Scientist
Environmental Scientists use their knowledge of environmental science to assess and mitigate the impact of human activities on the environment. This course can help Environmental Scientists learn how to use RStudio IDE to create projects, install R libraries, and display interactive maps, graphs, and tables with just one line of code. These skills can help Environmental Scientists improve their productivity and effectiveness.
Data Engineer
Data Engineers use their knowledge of data engineering to design, build, and maintain data systems. This course can help Data Engineers learn how to use RStudio IDE to create projects, install R libraries, and display interactive maps, graphs, and tables with just one line of code. These skills can help Data Engineers improve their productivity and effectiveness.
Software Engineer
Software Engineers use their knowledge of software engineering to design, develop, and maintain software systems. This course may be useful for Software Engineers who want to learn how to use RStudio IDE to create projects, install R libraries, and display interactive maps, graphs, and tables with just one line of code.

Reading list

We've selected 11 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 Tout Pour Démarrer avec RStudio .
Provides a comprehensive overview of the RStudio IDE, including its features, capabilities, and best practices. It is particularly useful for learners who are new to RStudio or who want to improve their workflow.
Practical guide to using R for data science. It covers topics such as data cleaning, data visualization, and statistical modeling. It good choice for learners who want to learn how to use R for real-world data analysis tasks.
Comprehensive introduction to the tidyverse, a collection of R packages for data science. It covers all aspects of the tidyverse, from basic data manipulation to advanced statistical modeling. It valuable resource for learners who want to learn the fundamentals of data science in R.
Practical guide to using R for data analysis. It covers topics such as data cleaning, data visualization, and statistical modeling. It good choice for learners who want to learn how to use R for real-world data analysis tasks.
Comprehensive guide to using ggplot2, an R package for creating data visualizations. It covers all aspects of the package, from basic syntax to advanced features. It valuable resource for learners who want to learn how to use ggplot2 for creating beautiful and informative data visualizations.
Provides a comprehensive overview of statistical methods for modern biology. It covers topics such as data exploration, statistical inference, and machine learning. It valuable resource for learners who want to learn how to use statistics to analyze biological data.
Comprehensive reference guide to the R programming language. It covers all aspects of the language, from basic syntax to advanced statistical techniques. It valuable resource for learners who want to deepen their understanding of R.
Comprehensive guide to using R Markdown. It covers all aspects of the language, from basic syntax to advanced features. It valuable resource for learners who want to learn how to use R Markdown for creating reports, presentations, and other documents.
Is an intermediate-level introduction to the R programming language. It covers advanced topics such as data manipulation, data visualization, and statistical modeling. It good choice for learners who want to learn how to use R for more complex data analysis tasks.
Beginner-friendly introduction to R programming. It covers the basics of the language, as well as some more advanced topics such as data manipulation and visualization. It good choice for learners who are new to R programming.

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