Learn R in 2 Days: From Zero to Your First Data Analysis
Master R programming for bioinformatics and biological data analysis in this free, beginner-friendly 2-day live crash course. Build foundational coding skills in RStudio to analyze complex life sciences datasets from scratch.
- 5.0/5
- English
- Starts 22 Dec 2026
- Updated Nov 2026
Free
5 options — see what each one includes.
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About this course
Learn R in 2 Days: From Zero to Your First Data Analysis is an intensive, live online crash course presented by Dr.Omics Edu, designed specifically to bridge the gap between wet-lab biology and computational bioinformatics. Modern life sciences, genomics, and healthcare research rely heavily on statistical computing, yet many students and researchers hesitate to start coding. This beginner-friendly workshop eliminates the intimidation of programming by guiding you step-by-step from software installation to writing your first functional R scripts. Over two focused evening sessions on 22 & 23 December 2026 (7–8 PM IST), you will master the core architecture of R and the RStudio environment. You will learn how biological data is stored, structured, and manipulated using variables, data types, R objects, and custom functions. By combining clear conceptual explanations with practical bioinformatics examples, this training equips you with essential computational biology skills. Whether you are preparing for genomics data analysis, clinical research, or AI-driven life science workflows, this course lays the exact technical foundation you need. Best of all, this live interactive training is completely free to attend, making high-demand bioinformatics education accessible to everyone.
What you will learn
Skills you will gain
Certification
Available
Issued by Dr. Omics EduCourse curriculum
1 moduleWhat you need to start
- Zero Prior Coding Experience Required: Designed specifically for absolute beginners starting from zero.
- Basic Computer Literacy: Ability to download, install, and navigate standard desktop software.
- Hardware & Internet: A working laptop or desktop computer (Windows, macOS, or Linux) with a stable internet connection to attend the live sessions and run RStudio.
- Domain Interest: A foundational background or interest in life sciences, biology, healthcare, or data science.
Who this course is for
- Life Science Students: Undergraduate and postgraduate students (B.Sc., M.Sc., B.Tech., M.Tech.) in Biotechnology, Microbiology, Genetics, Biochemistry, and Zoology looking to add coding to their resumes.
- Bioinformatics & Computational Biology Beginners: Aspiring bioinformaticians seeking a structured, zero-to-one entry point into R programming.
- Ph.D. Scholars & Wet-Lab Researchers: Academic researchers transitioning into dry-lab data analysis, transcriptomics, or biostatistics.
- Healthcare & Clinical Data Professionals: Medical and pharmaceutical professionals aiming to understand statistical computing and data science workflows.
Choose what's included
Attending is priced on its own; recordings, notes and the certificate are what the higher options add. You can move up later and pay only the difference.
No charge to attend the live session.
- ✓ Live expert-led session
- ✓ Live Q&A with the trainer
Proof of participation.
- ✓ Everything in Attend live
- ✓ Proof of participation.
Proof of participation, plus access to the session recording.
- ✓ Everything in +Certificate
- ✓ Certificate of participation
- ✓ Full session recording
Everything you need to run the workflow at your own bench.
- ✓ Everything in +Certificate
- ✓ Curated protocols, study notes and slide deck
- ✓ Sample datasets for practice analysis
For anyone designing or troubleshooting work of their own.
- ✓ Everything in + Study material & dataset
- ✓ Project template for a real study
- ✓ Step-by-step analysis guide
- ✓ One 1:1 review of your work
