Course curriculum

    1. Welcome To The Course

    2. Course Outline

    3. Before the Course Begins...(Pre-course Preparation)

    4. What if I Have to Miss a Session? Self-Paced Learning...

    1. Lecture 1 - Introduction to Omics & R

    2. Lecture 2 - Where Does Omics Data Come From?

    3. Lecture 3 - Tables in R

    4. Lecture 4 - Differential Tables

    5. Lecture 5 - Volcano & MA Plots

    6. Lecture 6 - Groups, Legends & Themes

    7. Lecture 7 - PCA & Expression Density

    8. Lecture 8 - Box, Violin & Jitter Plots

    9. Lecture 9 - Heatmaps & Clustering

    10. Lecture 10 - Pathway Analysis (Part 1)

    11. Lecture 11 - Pathway Analysis (Part 2)

    12. Lecture 12 - When to stop.

    1. Lecture 1 - Introduction to Omics & R

    2. Lecture 2 - Where Does Omics Data Come From?

    3. Lecture 3 - Tables in R

    4. Lecture 4 - Differential Tables

    5. Lecture 5 - Volcano & MA Plots

    6. Lecture 6 - Groups, Legends & Themes

    7. Lecture 7 - PCA & Expression Density

    8. Lecture 8 - Box, Violin & Jitter Plots

    9. Lecture 9 - Heatmaps & Clustering

    10. Lecture 10 - Pathway Analysis (Part 1)

    11. Lecture 11 - Pathway Analysis (Part 2)

    12. Lecture 12 - When to stop.

    1. Tutorial 1 Workbook

    2. Tutorials 3 to 12 Workbook

    3. Tutorial Data

    4. Onboarding & Cheat Code

    1. R Cheat-Sheets

    2. Useful Code Snippets

    3. Ready for more? Further Courses...

    4. Thank You

About this course

  • 36 lessons
  • 9 hours of video content