Turn messy R scripts into

clean

interactive

reproducible

online

reports

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.

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!

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.

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 .

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.

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!

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!

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.

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!

The course is both visually appealing and incredibly interactive – 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.

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, it’s an excellent stepping stone if you haven’t used Quarto or GitHub yet!

It feels so nice when the ideas click in your mind, and you realize, “this is how it should be done.” 🚀

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.

Yan's course is incredibly valuable and maps out — unlike any other resource I've come across — 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.

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.

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!

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.

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.

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.

I love Yan’s approach and passion towards data science, and I’m truly delighted and lucky to be able to take his course.

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

There aren’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!

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!

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!

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. It’s packed with valuable tips and techniques that help you work smarter, not harder.

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!

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.

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.

Yan Holtz’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.

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!

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.

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 :)

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.

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.

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!

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