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Over 450 students enrolled in the last 4 months! ๐Ÿ”ฅ

Turn messy R scripts into
clean
interactive
reproducible
online
reports

An interactive mini course helping R developers be So. Much. More. efficient at data analysis.

YHTaught by Yan Holtz

The struggle is real

For the 10th time you open your script called my_analysis_final2.R.

You're ready for a last run, creating a few graphs that you will have to copy paste to your report, together with some crucial statistical test results.

๐Ÿ˜ฑ Bummer!

Did you really write this? It is barely readable. There are no comments. Some lines are so long you can't see their ends. It basically looks like a labyrinth of duplication, making even the smallest changes an agonizing ordeal.

But wait ๐Ÿค”. Where is the awesome piece of code you wrote the other day? Perhaps in another version of the script...

Nevermind, let's email those results to the team, it is not too bad already. At least you did not lose your script like last time.

Wait.. No!

You run the analysis on data_clean.csv instead of data_final.csv. Results are all wrong! ๐Ÿ™ˆ

There is an easier way!

I remember those good old days so well.

But some tools can make your life 100x easier ๐ŸŽ‰

Quarto transforms your code in a stunning report. HTML widgets integrate interactive charts in it. Git tracks all your changes.Github hosts your work and transforms it in a website for free.

In this mini course, I provide you with an efficient pipeline for your daily data analysis work with R. An elixir of the best tools, tips and tricks.

I promise there won't be any coming back.

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๐Ÿ”ฅ Let's build a

Productive R Workflow

Get a Clean, Interactive, Reproducible, Online report

Reproducible

Fork the project. Click 1 button. โ†’ Everything runs again.

Clean

Use the theme provided by the course. Plus some web dev tips.

Online

Code and report are available for free on the web. For free.

Interactive

Include tabs, interactive charts, links, maps, and more.

โค๏ธ What people are sayingโ€ฆ โค๏ธ

Yan's recent talk showcased his R programming course, brilliantly tailored for beginners.

Leveraging his deep expertise in the R ecosystem and common challenges, the course is a perfect launchpad to boost productivity in R.

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Marylene Henry ๐Ÿ‡ซ๐Ÿ‡ท

Project Leader, French National Institute of Statistics

R is a fantastic but permissive language; it's hard not to make errors in reproducibility.

What I loved about Yan's talk is his way of simply presenting the best R practices that can be game-changing for your statistical work even if you are a beginner!

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Frida Kronquist ๐Ÿ‡ฉ๐Ÿ‡ฐ

Associate Risk Consultant, Marsh Advisory Nordics

I only finished module 2 lesson 3 so far, but already feel like I have got value for my money.

The course is informative, yet easy to follow. Yan and the welcoming community on Discord help me when I need it. I look forward to learning even more from Yan as I progress through the course.

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Vinรญcius Ferreira ๐Ÿ‡ง๐Ÿ‡ท

Revenue Growth Specialist, Adevinta

R resources are abundant online, but Yan's project truly enhanced my skills.

Thanks to it, I transitioned from simple R knowledge to mastering speed, reliability, and clarity in my storytelling.

This is the most changing game I've been to in terms of dataviz and comprehension .

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Wim van Saase ๐Ÿ‡ณ๐Ÿ‡ฑ

Finance consultant, Eiffel

The course provides concrete tools to convert the analyses you do in R into more readable and shareable reports. You get an A to Z method of creating a reproducible project!

The focus is on R, but the creative mind can also apply this elsewhere.

The whole thing is brought into small directly applicable modules, which immediately have a big impact on your workflow.

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Bertha Rohenkohl ๐Ÿ‡ฌ๐Ÿ‡ง

Postdoctoral economist, Institute for the Future of Work

This is such an amazing course that will help you streamline those R projects and develop good data practices!

So happy to have joined the first group, it made my life so much easier!

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Yann Say ๐Ÿ‡จ๐Ÿ‡ญ

R and Data specialist, IMPACT Initiatives

Productive R workflow is very focus and straight to the point. It gives practical tips that can be immediately applied.

Format is friendly whether you have 10 minutes or an hour to learn. I recommend it to anyone who is starting his/her data journey to boost their productivity!

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David Lefebvre ๐Ÿ‡จ๐Ÿ‡ฆ

Postdoctoral Fellow, University of British Columbia

Productive R Workflow has revolutionized the way I manage my scripts.

My scripts are now organized and easier to share and maintain. Thanks to this course, I now have a structured system in place that enhances collaboration and ensures efficiency in my R projects.

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Julian Busch ๐Ÿ‡จ๐Ÿ‡ญ

Portfolio Manager Multi Asset Solutions, Fisch Asset Management AG

A very much to the point, bite-sized course that will provide you and your employees with a best-practice workflow for your R projects.

It uses one of Rstat's classic datasets to explain all concepts clearly and consistently.

If you are working with R in practice, this course is essential!

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Restu Restuadi ๐Ÿด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟ

R: search Associate in Computational Biology, Imperial College London

The course is both visually appealing and incredibly interactive โ€“ a winning combination! The lessons flow seamlessly, mirroring the real-world way I use R in my work.

There's no shortage of great R programming courses, but this one fills a crucial gap.

It teaches you how to manage and maximise productivity with R. As a bioinformatician and consulting-statistician juggling multiple research projects, this course has been an absolute lifesaver.

What I liked the most about the course was the alert rhythm of quickly covering a vast amount of content.

It increases the appetite for trying out new things based on this foundation alone. Thank you, Yan!

This is exactly what I needed.

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Benjamin David ๐Ÿ‡ซ๐Ÿ‡ท

Market Risk Analyst, Arkรฉa Investment Services

Very neat course! It's very well structured and helps you adopt good coding practices quickly.

The UX with a signifiant part of gamification is absolutely perfect thanks to the website developed by Yan himself.

This helps me stay motivated and follow the course from A to Z!

Productive R Workflow is a quintessential component of the learning journey for beginners, as well as intermediate users who want to start applying best data and coding practices.

This course empowers you to create shareable, reproducible, and debuggable code. Plus, itโ€™s an excellent stepping stone if you havenโ€™t used Quarto or GitHub yet!

It feels so nice when the ideas click in your mind, and you realize, โ€œthis is how it should be done.โ€ ๐Ÿš€

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Ivan Osinnii ๐Ÿ‡จ๐Ÿ‡ญ

Postdoc, University of Basel

Yan Holtz's new course offers an accessible guide to streamlining R data analyses using the evolving tideverse, R-markdown, and Quarto tools.

The course is beautifully sequential, breaking down complex concepts into bite-size tips and tools rather than overwhelming learners with grandiose ideas.

You can track your progress in short, manageable intervals and enjoy frequent pauses without losing your train of thought.

Perfect for learning at your own pace and seeing visible improvements every 15-30 minutes.

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Luke Arundel ๐Ÿด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟ

Research officer, Centre for Transforming Access and Student Outcomes in Higher Education

Yan's course is incredibly valuable and maps out โ€” unlike any other resource I've come across โ€” how to work more efficiently in R.

I can only imagine the time I would have saved if I'd had all these lessons compiled in one place when I first started using R.

The module on cleaning code alone would add a huge amount of value to the workflow of almost everyone I know who uses or is looking to learn R.

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Giandomenico Bisaccia ๐Ÿ‡ฎ๐Ÿ‡น

Health Economics Student, London School of Economics

This course makes it easy to grasp various concepts about Quarto reporting which are not easily found in the official documentation or elsewhere.

What I found particularly useful was being guided through each and every step. The course offers something to be learned for both beginners and intermediate users.

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Cedric Vidonne ๐Ÿ‡จ๐Ÿ‡ญ

Health Economics Student, London School of Economics

While I already had a grasp on basic R concepts, the course taught me invaluable skills in organizing my work and ensuring reproducibility.

It's a must for anyone looking to optimize their R projects.

Looking forward for the future Quarto tips and more advanced bonus sections!

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Torsten Blass ๐Ÿ‡ฉ๐Ÿ‡ช

Data analyst and content creator, The Data Digest

I like that you cover many important and complex topics but teach them in a step by step way that is easy to follow.

I would recommend this course to my friends, colleagues and YouTube subscribers.

Congratulations on producing such a valuable piece of content. It made my analysis tool kit so much better.

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Benoit Penel ๐Ÿ‡ซ๐Ÿ‡ท

PhD Student in ecology, CBGP & INRAE

The Productive R Workflow course is a must for developing the best habits with R coding!

Everything is so useful! I would definitely recommend it to my friends and colleagues to improve the quality of our team projects.

It will make our analysis scripts more understandable for everyone.

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Krzysztof Nowak ๐Ÿ‡ต๐Ÿ‡ฑ

Automation Analyst, TMF group

The course has helped me better organize my projects, plan their structure and communicate the results.

The visual side of the course is very attractive and the author and the community are helpful.

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Shuntaro Ono ๐Ÿ‡ฏ๐Ÿ‡ต

Associate, Mitsui & Co., Ltd.

I love Yanโ€™s approach and passion towards data science, and Iโ€™m truly delighted and lucky to be able to take his course.

Honestly, if you enrol in his course, youโ€™ll soon find how the course is well structured and, most importantly, how fun it is to learn new techniques.

There arenโ€™t many learning materials for Quarto, so this course helped me so much!

Yan Holtz's online course for a more productive R workflow is a must for anyone from the beginner to the advanced R user.

Despite having used R for years, I discovered numerous tips and tricks that have significantly boosted my productivity. The course is easy to follow, and the lessons are short and to the point: no more hours searching for tips and tricks on the internet; it's all there.

You'll gain productivity every 5 minutes of reading through! If you use R for data visualization and science, I highly recommend taking this course!

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Mohammad Golam Kibria ๐Ÿ‡บ๐Ÿ‡ธ

Health Informatics Researcher

Thank you for this course! I appreciate how well-organized and concise it is. The instructions are clear and to the point, making the course both highly accessible and truly effective.

This course will undoubtedly raise awareness about the power of R in implementing a robust data pipeline. I will certainly share this with my research group. Congratulations to Yan!

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Marie Lapรจgue ๐Ÿ‡ซ๐Ÿ‡ท

Assistant Engineer in Ecology

The "Productive R Workflow" training course with its 4 modules is easy to follow and teaches you lots of tricks to make your scripts clean, reproducible, and easy to share! The explanations are clear.

The quizzes and practical exercises make the course very didactic. I'd definitely recommend this course, which will help you develop good habits!

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Trang Truong ๐Ÿ‡ฆ๐Ÿ‡บ

Associate Research Fellow

Taking the "Productive R Workflow" course has transformed how I approach data analysis. What stood out the most to me was how it makes workflow optimization both accessible and practical without overwhelming learners.

I could immediately apply what I learned to my projects, streamlining my workflow effectively. Yan Holtz is excellent at offering best practice guidance in manageable, actionable steps.

Thanks to the course, I now have a clearer, more structured approach to my projects, which has significantly boosted my productivity and improved the quality of my analyses.

I also discovered powerful tools and packages that I hadn't used before, such as RProject and Quarto, which have become staples in my workflow.

I would wholeheartedly recommend this course to anyone, whether you're just starting out or have been using R for years. Itโ€™s packed with valuable tips and techniques that help you work smarter, not harder.

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Alina Monster ๐Ÿ‡ณ๐Ÿ‡ฑ

Data Analyst, Urimon onderzoek

I already had the basic skills and knew how to write the code in RStudio. I need to share my work a lot and have always struggled to do that in a structured way.

This course has really helped me to learn how to set up an R project and how to share and save my work without getting error codes when rerunning the script!

I would definitely recommend!

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Nicolas Rode ๐Ÿ‡ซ๐Ÿ‡ท

Research Scientist, INRAE

I have been using R for more than 15 years and with Yan's course I greatly improved my skills to organize my R projects, use Github Desktop, and build a website from a Github repository.

The course is well structured with opportunities to go in-depth on specific topics. Whatever your level in R, I highly recommend taking this course!

As a new user of R software, I was initially struggling to navigate and use the software effectively. My study and work involve using R extensively, which meant I was taking a long time to complete tasks.

However, after joining Yan Holtz's course, I have become much more proficient and efficient in using R. I now enjoy the process and am able to create creative reports, which I can share as websites for educational purposes.

I highly recommend this course to anyone looking to improve their R skills and produce high-quality reports.

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Audrey Campeau ๐Ÿ‡จ๐Ÿ‡ฆ

Assistant Professor, University of Montreal

This course was incredibly useful and changed how I use R. It was a very small investment of my time for all the time I will gain in productivity in the future.

The course is easy to follow, with good exercises. Each module builds upon the previous one to make you an R pro by the end.

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Joel Belsasar ๐Ÿ‡ต๐Ÿ‡ช

Political Science & Government | PUCP

Yan Holtzโ€™s 'Productive R Workflow' course has completely transformed how I approach data analysis. The practical, well-structured modules have made my scripts more organized and easier to reproduce.

Integrating Quarto and GitHub has allowed me to create interactive reports and manage version control efficiently. I particularly appreciate the focus on interactive graphics and report customization, which has greatly enhanced my presentations.

This course is a must for anyone looking to upgrade their R workflow.

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Henri Desaint ๐Ÿ‡ซ๐Ÿ‡ท

Postdoctoral Fellow, Research engineer, INRAE

Yan Holtz's online course reflects his previous work on R: didactic, practical, and fun! While I have been using R and RStudio for quite some time, the course gathers in one place lots of things I have been looking for.

It also gathers things I knew beforehand but did not really know how to articulate in an efficient and productive way. The way it is taught provides the necessary first steps to then be independent!

I hope I will have the personal rigor to apply all this to my work, but at least I will be sure to know what to teach my interns!

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Jerome Boutet ๐Ÿ‡ซ๐Ÿ‡ท

GIS Specialist, Biotope

I love the reproducible examples with clear and concise explanations. The course features great visuals (icons, paragraphs, similar structure for all modules).

All this contributes to making the website a pleasing user experience to read.

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Ella Cathcart-van Weeren ๐Ÿ‡ฆ๐Ÿ‡บ

Data Scientist, University of Queensland

You can tell Yan has put a lot of work into creating content for this course. It is clear and very easy to understand. Yan breaks some sometimes really challenging concepts up logically and provides many opportunities to commit (pardon the pun) new skills into my everyday coding practices.

Even those who use R regularly will learn from this course :)

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Alberto F Cabrera ๐Ÿ‡บ๐Ÿ‡ธ

Emeritus Professor, University of Maryland

If you are looking for a comprehensive introduction to R, this course is perfect for you. The four modules introduced me to functions I hadn't encountered before.

For example, I learned how to enhance the style of Quarto documents.

The module on GitHub was especially invaluable, as it helped me create a repository that mirrors my desktop files.

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Diego Gomes ๐Ÿ‡บ๐Ÿ‡ธ

Data Scientist, SoundTalks

Yan Holtz's course on R workflow is an invaluable resource for R and Quarto users of all levels, combining accessibility, hands-on practical examples, and a concise approach.

Yan's attention to detail and genuine care for his students shine through in the lessons, which condense and curate a wealth of dense material into a professional and practical guide that seamlessly integrates Quarto, R, and GitHub.

Supported by an active Discord community, the course is also a wonderful resource for anyone looking to build a data science portfolio, personal website, or blog to stand out in the job market.

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Runlong Peng ๐Ÿ‡จ๐Ÿ‡ณ

Data Analyst, Shanghai University

I'm truly impressed with the techniques you've shared. Your guidance has been invaluable, and I appreciate your expertise.

Thank you for enhancing my skills!

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Efstathios-Iason Vlachavas ๐Ÿ‡ฉ๐Ÿ‡ช

Bioinformatician, German Cancer Research Center

The "productive R workflow" MOOC is one of the best online courses that I ever had in my career, as a data scientist;

๐ŸŽฎ Interactive learning experience ๐ŸŽฎ

This course is not a book or a set of boring videos! Your learning journey will be fun and interactive. For instance, check your R knowledge with this quizz! ๐Ÿ˜€.

What is the primary use of ggplot2?

Perform statistical computations.
Create publication-quality visualizations.
Manage and manipulate data frames.
Interface with databases.

What is the purpose of StyleR?

It adds additional styling options to ggplot2 graphs.
It is used for creating styled R Markdown documents.
It automatically styles R code according to specified guidelines.
It is a package for theming Shiny applications.

In a Quarto document, how do you create an executable R code chunk?

```{r} ... ```
```[r] ... ```
<r> ... </r>
<code lang='r'> ... </code>

In R, what is the correct syntax to define a function named calculateSum that takes two arguments and returns their sum?

function calculateSum(x, y) { return x + y; }
def calculateSum(x, y): return x + y
calculateSum <- function(x, y) { return(x + y) }
function calculateSum(x, y) = x + y

What is the Tidyverse?

An R package for statistical analysis.
A collection of R packages designed for data science that share common philosophies.
A new programming language based on R.
A graphical user interface for R.

Name three core principles that the Tidyverse packages adhere to.

Consistency, readability, and usability.
Complexity, dependency, and variety.
Speed, automation, and scalability.
Randomness, flexibility, and modularity.

How do you install a package from GitHub in R?

install.packages(github: 'username/repository')
install_github('username/repository')
github_install('username/repository')
get_github('username/repository')

Which package in the Tidyverse is primarily used for data manipulation?

ggplot2
readr
dplyr
forcats

In a Quarto document, how do you link to an external CSS file?

use_css('path/to/style.css')
<link rel='stylesheet' href='path/to/style.css'>
css: 'path/to/style.css'
style: 'path/to/style.css'

How do you update your local repository to match the remote repository in Git?

git update remote
git refresh
git pull
git download

What shortcut is used to run a line of R code in RStudio?

Ctrl + Enter
Alt + R
Shift + Enter
Ctrl + R

How do you write text in bold in Markdown?

Using <b>...</b> tags
Enclosing text in *asterisks*
Enclosing text in **double asterisks**
Using the :bold: syntax

Is Shiny required to create a document with interactive graphs?

Yes, Shiny is always required.
No, there are other options like ggiraph or plotly.
Only if the graphs are complex.
Shiny is not compatible with interactive graphs.

Do you need to pay to share your data analysis report via GitHub?

Yes, GitHub charges for hosting data reports.
No, GitHub offers free repositories for data sharing.
Only for private repositories.
Sharing data reports is not allowed on GitHub.

Is it possible to read an xlsx file in R without converting it to CSV format?

No, conversion to CSV is mandatory.
Yes, using packages like readxl or openxlsx.
Only with special software outside of R.
Reading xlsx files is not supported in R.

Is building an interactive graph in R typically a complex task requiring at least 100 lines of code?

Yes, it always requires extensive coding.
No, it can be achieved with fewer lines using specific packages.
Interactive graphs cannot be created in R.
It depends on the complexity of the graph.

Should an R script always begin with the setwd() function?

Yes, it's a mandatory practice.
No, it's not recommended to use setwd() in scripts.
Only if the script is run on multiple machines.
setwd() is not a function in R.

What role does CSS play in relation to Quarto documents?

CSS is used for data analysis in Quarto.
CSS enhances the visual appearance of Quarto documents.
CSS is irrelevant to Quarto.
CSS is used to write R code in Quarto.

What is GitHub Desktop?

A cloud storage service provided by GitHub.
A graphical interface for managing Git repositories.
A text editor developed by GitHub.
An operating system based on GitHub.

Is RStudio required to use Quarto?

Yes, RStudio is necessary for Quarto.
No, Quarto can be used independently of RStudio.
Quarto only works with RStudio Cloud.
Quarto and RStudio are the same thing.

๐Ÿ‘‹ Hi! I'm Yan Holtz.

Senior Software Engineer in โค๏ธ with educational content.

A picture of Yan Holtz

With over a decade of hands-on experience in data analysis and software engineering, I've had the privilege of working in various tech companies and research labs globally.

You might recognize me from my widely-visited educational platforms like the R, Python, D3.js, and React Graph Galleries, as well as my award-winning projects Data-to-Viz.com and Dataviz-Inspiration.com.

Frequently, people approach me seeking guidance on their R journey. This course is my comprehensive, well-structured response, born from a broad and deep understanding of the field.

Spend just a few hours of your time with me! I guarantee that the productivity gains will quickly offset the initial investment ๐Ÿ”ฅ.

A picture of a testimonial

Yan's recent talk showcased his R programming course, brilliantly tailored for beginners.

Leveraging his deep expertise in the R ecosystem and common challenges, the course is a perfect launchpad to boost productivity in R.

Vincent Guyader ๐Ÿ‡ซ๐Ÿ‡ท

CTO of ThinkR

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I only finished module 2 lesson 3 so far, but already feel like I have got value for my money.

The course is informative, yet easy to follow. Yan and the welcoming community on Discord help me when I need it. I look forward to learning even more from Yan as I progress through the course.

Frida Kronquist ๐Ÿ‡ฉ๐Ÿ‡ฐ

Associate Risk Consultant, Marsh Advisory Nordics

๐Ÿ”ฅ Pricing

The course was released in March 2024, and hundreds of people have already enrolled and enjoyed it. I just released a new updated version. To celebrate, I'm offering 100 seats at a discounted price.

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89โ‚ฌ

149โ‚ฌ

Limited Seats Offer

Satisfaction guaranteed or immediate refund.


Lifetime Access
Discord community
Interactive learning experience
30+ lessons
Certificate of completion
Personalized feedback on Discord

โšก๏ธ Only 70 out of 100 seats remain at this special price! โšก๏ธ

A picture of a testimonial

R is a fantastic but permissive language; it's hard not to make errors in reproducibility.

What I loved about Yan's talk is his way of simply presenting the best R practices that can be game-changing for your statistical work even if you are a beginner!

Marylene Henry ๐Ÿ‡ซ๐Ÿ‡ท

Project Leader, French National Institute of Statistics

A picture of a testimonial

R resources are abundant online, but Yan's project truly enhanced my skills.

Thanks to it, I transitioned from simple R knowledge to mastering speed, reliability, and clarity in my storytelling.

This is the most changing game I've been to in terms of dataviz and comprehension .

Vinรญcius Ferreira ๐Ÿ‡ง๐Ÿ‡ท

Revenue Growth Specialist, Adevinta

Frequently asked questions

๐ŸŽ‰ 100 half-price seats available โ€” 70 left! ๐Ÿ”ฅ