Transcriptomics Data Analysis
COHORT-BASED COURSE
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Sat, 10th August, 2024
3 Months
Beginner
For self-paced learning options, contact us
Pre-requisites
You should be familiar with:
Basics of R and genomics methods is helpfulAbout the Course
This comprehensive Transcriptomics Data Analysis course offers a five-week journey into the world of transcriptomic data interpretation. From mastering R programming to exploring advanced techniques like clustering, trajectory inference, and pathway analysis, participants will gain the skills and insights needed to unlock the potential of single-cell RNA sequencing (scRNA-seq) and bulk sequencing data. Join us in this transformative learning experience and become proficient in analyzing gene expression data with confidence and precision.
Flexible learning options
- Attend live (virtual) lectures
- Access recorded lectures in your private dashboard
Practical application
- Apply your skills through hands-on projects
- Engage in real-world case studies
Personalized learning experiences
- Tailored support and guidance
- 24x7 support by our dedicated support team
Specialized community access
- To our Members-only Slack community
- To our invite-only deep tech global Slack community
Syllabus Overview
- R Environment & Introduction
- R Programming & sc Toolkits
- Sample Preparation Steps
- Dataset Overview & Public Repositories
Earn Certificate of Achievement
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10 Aug, 2024