Master Introduction to Single-Cell Genomics in 4 weeks through hands-on, project-based online training with DSTC.
The Introduction to Single-Cell Genomics course is a free, beginner-friendly self-paced program designed to introduce learners to the cutting-edge field of single-cell genomics and its applications in modern biological research. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
The Introduction to Single-Cell Genomics course is a free, beginner-friendly self-paced program designed to introduce learners to the cutting-edge field of single-cell genomics and its applications in modern biological research.
1. Translate Artificial Intelligence theory into practical, reproducible analysis.
2. Assemble a documented case study that evidences your applied capability.
โข Master's and senior undergraduate students specializing in Artificial Intelligence
โข R&D engineers and working professionals applying Artificial Intelligence in industry
โข Academics and educators building research or teaching capacity in Artificial Intelligence
โข Tangible, reproducible Artificial Intelligence work to show supervisors or employers.
โข A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
What is Single-Cell Genomics? โข Why Study Single Cells? โข Overview of Single-Cell Technologies โข Applications of Single-Cell Genomics in Modern Research
What is scRNA-seq? โข Basic Workflow of Single-Cell RNA Sequencing โข Understanding Gene Expression at the Single-Cell Level โข Key Technologies for Single-Cell RNA Analysis
Handling Single-Cell Genomic Data โข Data Formats and Storage (FASTQ, BAM, H5) โข Basic Data Quality Control and Filtering โข Challenges in Single-Cell Data Analysis
Clustering Single-Cell Data โข Identifying Cell Types and States โข Data Integration and Normalization Techniques โข Basic Visualization of Single-Cell Data
Single-Cell Genomics in Disease Research โข Applications in Cancer, Immunology, and Neuroscience โข Single-Cell Genomics in Drug Discovery and Personalized Medicine โข Emerging Trends and Future of Single-Cell Technologies
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Single-Cell Genomics |
| Covered Tool / Platform | Single-Cell RNA Sequencing |
| Covered Tool / Platform | Gene Expression Analysis |
| Covered Tool / Platform | Data Visualization |
| Covered Tool / Platform | Bioinformatics Tools for Single-Cell Analysis |
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