Finally, An Easy Way To Master R


For Real-World Bioinformatics

even If You Have No Prior Coding Experience

50% of people who start to learn R for bioinformatics end up giving up out of frustration and lack of progress. Don't become another statistic - enroll in the R course!

Learning R is hard, especially if you don't have a programming background. The syntax is challenging, the coding logic is confusing, and you don't know how it applies to bioinformatics work. 

Most R courses teach abstract coding concepts without practical application, making you lost, overwhelmed, and unable to use R for your research.

If you are not competent in R, you won't be able to analyze, interpret, and visualize complex genomic datasets. 

You will be STUCK relying on others for basic bioinformatics tasks. Don't let R be a roadblock in your scientific journey!

There's a better way! 

Introducing the "Master Real-World Bioinformatics Analysis in R" course.

  • Specifically designed for biologists to develop practical R skills for genomics research
  • Master workhorse data structures in R: vector, matrix, data frame, and list with biological examples
  • Interpret results with confidence by learning basic statistical concepts of p-values, and multiple comparisons
  • Gain insights from the data by data wrangling and create insightful visualizations
  • leveraging the purrr package so you can avoid repeating yourself with for loops to create clean and readable scripts
  • tackle real-life bioinformatics problems by using essential Bioconductor packages such as GenomicRanges, DESeq2, and annotation packages.
  • Create publication-ready figures by performing differential expression analysis, gene set enrichment, and more using Bioconductor packages for an end-to-end project
  • We keep improving the courses and you have lifetime access to the updated version

Real-world Bioinformatics with R

Ming Tommy Tang

Bioinformatician

An introduction to R for
real-world bioinformatics

Learners

Lessons

Hours

Video

Course Lessons

Bonus

If you sign up for the course, you will get a free PDF file with the R tricks I collected over the last decade. The first 50 people will get a 45-minute ask-me-any-question session together.

Guarantee

If you sign up for the course and feel it is not the right one for you, email us within 7 days and we will refund you

Don't waste months or years struggling with R on your own. Join the "Master Real-World Bioinformatics in R" course today and gain the skills you need to excel in your genomic research! Spots are filling up fast at this limited-time price so click here to enroll now!

An introduction to R for real-world bioinformatics
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Our students love us

"For a beginner I would say it is a wonderful course after having taken Rafael Irizarry’s data analysis for life sciences and data camps R courses. I can say this is really a great course for a beginner."
— Imran S
"1. This is a good initiative. 2. Few intro courses and books give this level of detail, especially for the basic principles. 3. Excellent pace. 4. Good use of examples."
William O
"I like the explanation of basic R like variables, loops because usually it is explained very fast and it is difficult to understand it later on top of all the information"
Olivero C

Our students love us

"I like that the course incorporated real-life bioinformatics problems. This is very important because a lot of people learn how to use R but find it difficult to apply the knowledge but this course gives real-life examples which can be easily replicated."
Akpan F
"It was a great experience, especially working on the TCGA example and the projects. Had my fair share of challenges, but with some help from online forums and ChatGPT, I got through them. I plan to revisit the exercises to solidify my understanding."
Anamika D
"The hands-on exercises are easy to follow through and almost cover all the main concepts in data analysis in R. Data analysis incorporates so much, and it can't be all integrated in one course, but still this course managed to give a great starting point and an overview of how to deal with data in R comfortably. "
Sadaf R

Our students love us

"As a biologist with limited coding experience, I found the explanations very clear. It's a comprehensive course for whoever likes to delve into R."
Jessica W
"The course flows smoothly. The course is coming to an end and we are wrapping up many topics covered in the course."
Medhat E
"I like the step-by-step instruction starting from 0 for R users. It also refreshed my knowledge of R"
Bryon A
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