The Ultimate Course to Quickly Master Data Manipulation in R Using dplyr & the tidyverse

All you need to know to handle your data like an expert
without wasting your time with too much unnecessary talk.

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Price: $150
Registration for the next course session will open soon.
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Joachim Schork Statistician and R Programmer

This R course shows you exactly how to get your data ready for use, step-by-step.

  • Even if… you’ve struggled with R programming in the past.
  • Even if… you’re new to R programming.
  • Even if… you’ve understood Base R, but don’t know where to start with the tidyverse.
  • Even if… you’ve thought to yourself “the dplyr syntax is too complicated for me”.


What You Get

Learn data manipulation with our interactive course! Enjoy self-paced videos, refine your newly acquired skills by engaging in quizzes that range from simple to advanced, and ask your questions directly to the Statistics Globe team and other learners in our exclusive LinkedIn chat.

We invite you to join us in weekly public discussions spanning 8 weeks starting from November 27, 2023, where we’ll elaborate on the video lessons, dive deeper into recent exercises and real-world projects, and navigate through all sorts of questions together.

Please note: While we have a structured 8-weeks plan, your journey through the course is entirely in your hands. Whether you take several months or just a weekend to go through the materials is completely up to you.

Upon completion of the course, you will retain access to all videos, learning materials, and resources for future reference. The group chat will remain active, enabling future exchanges and networking with fellow participants. Additionally, you will receive a certificate verifying your attendance in the course.

Here are some more details on the structure of the course!

Structure of Video Course

Structure of Video Course

Structure of Video Course

Structure of Video Course


A Peek Inside the Course

Dive into the exciting world of data manipulation with our interactive online course on R, dplyr, and the tidyverse!

Through easy-to-follow modules, you’ll gain practical skills to manage, analyze, and visualize data, boosting your career prospects in the thriving field of data science.

Ideal for R programming beginners as well as advanced users that want to make the switch from Base R coding to the tidyverse approach.

With this course, you’ll not only gain a better understanding of data manipulation and dplyr; You’ll also boost your general skills in R programming.

Here’s the table of contents of the entire course! You will receive video lessons, simple to advanced exercises, as well as additional learning materials on each of those topics.

Table of Contents

  • Course Structure & About the Instructor
  • dplyr & the tidyverse Overview
  • Installing & Loading dplyr
  • tibble vs. data.frame
  • The Pipe Operator
  • Creating tibbles
  • Working with Columns
  • Working with Rows [Course Preview]
  • Importing & Exporting Data Using dplyr & readr
  • Replacing Values
  • Handling Missing Values
  • Binding Rows & Columns
  • Grouping Data
  • Joining Data Sets
  • Reshaping Data Using dplyr & tidyr
  • Data Visualization Using dplyr & ggplot2
  • Handling Character Strings Using dplyr & stringr
  • Handling Dates & Times Using dplyr & lubridate
  • Advanced Data Manipulation Project – Pt. 1
  • Advanced Data Manipulation Project – Pt. 2
  • Summary & Further Resources

Graphics for ToC


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Love It or Return It: 30 Days Money-Back Guarantee

Your purchase is absolutely risk-free with our straightforward money-back guarantee! We are confident that our course will not disappoint you.
However, if you don’t like what you see, you can get a 100% refund up to 30 days after the course has started.


Meet Your Instructor: Joachim Schork

R Course Instructor

Hey, I’m Joachim Schork and back in the days, when I started my journey as a programmer and statistician, mastering R programming felt like an impossible challenge to me.

After finishing my bachelor’s degree in Educational Science, I decided to focus more on programming and statistical methodology, but when I started my master’s in survey statistics, I felt hopeless. Do you know that moment when you scream at your PC screen after several hours of unsuccessful coding attempts?

Since the start of my educational journey, I have used online resources to complement the university’s official learning materials. This has helped me a lot, but at the same time I felt like I was often spending too much time on a video or blog article because many of these resources don’t get straight to the point.

This was one of the reasons why I founded Statistics Globe more than five years ago. Meanwhile, I had completed my master’s degree, got my first job at a national statistical institute in Europe, and was even rewarded with an EMOS certificate that approves special knowledge in the field of official statistics. I had gained extensive knowledge in the area that I wanted to pass on.


However, I didn’t want to create endless tutorials that didn’t fulfill the need of its users. Instead, I created straightforward content designed to guide users to solutions for their problems as quickly as possible.

Now, five years later, Statistics Globe has gained:


20 million clicks
on the website

Statistics Globe Website Clicks


3 million clicks
on YouTube videos

Statistics Globe YouTube Channel Clicks


50 thousand followers
across Social Media platforms


This is such an incredible success, and I’m so thankful to everybody who participated in this journey! And please don’t get me wrong: I don’t want to brag about these numbers, but I think they can show you that my content works.

With this video course, it’s the first time I’ve combined all of this experience and knowledge into a single resource on data manipulation using tidyverse’s fabulous but often misused dplyr package.

By the way, this is the very first time that I charge anything for content on Statistics Globe. All other content remains free.

However, the conception and implementation of this course requires my full-time work for several months, and all other Statistics Globe team members are also involved. I hope you understand that it is not possible to run such a video course without compensation.

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This course is such a big milestone for me, and I’m so excited. I love exchanging with other data enthusiasts, and I am looking forward to our discussions in our exclusive group chat. I promise that I will invest all my passion and a lot of time into this course to make it an outstanding experience to all of us.

I’m not the only one who will support you in this course, though! The entire Statistics Globe team is ready to answer your questions, no matter if you have problems understanding any of the lessons or exercises, or if you have technical issues with the R software, the example data, or the add-on packages that we’ll use in the course.

In case you have further questions or anything else you would like to talk about, feel free to email me to, write me via the contact form, or send me a message via my Social Media channels.



I’ve created a video that explains the structure and the content of the course in more detail.


By clicking this button, you’ll be added to a waiting list to receive future updates about the course. I’d be honored to welcome you to the next course. 🙂

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