Fundamental Skills in Bioinformatics

Instructors: Jesper Tegner +4 more

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What you'll learn

  •   Basics of R
  •   Basics of Python
  •   How to analyze bulk RNAseq count data
  •   How to analyze single cell RNAseq count data

    • Skills you'll gain

  •   Data Analysis
  •   NumPy
  •   Programming Principles
  •   Data Visualization
  •   Data Structures
  •   Exploratory Data Analysis
  •   Data Quality
  •   Scientific Visualization
  •   Unix Commands
  •   R Programming
  •   Bioinformatics
  •   Unix
  •   Statistical Analysis
  •   Python Programming
  •   Statistical Methods
  •   Data Manipulation
  •   Pandas (Python Package)
  •   Rmarkdown
  •   Statistical Hypothesis Testing

    • There are 4 modules in this course

    Through the course, the student will develop the necessary practical skills to conduct basic data analysis. Most importantly, participants will learn long-term skills in programming (and data analysis) and the guidelines for improving their knowledge on it. The course will include Programming in R, programming in Python, Unix server, and reviewing basic concepts of statistics.

    Module 2: Introduction to Programming II (using R)

    Module 3: Programming in Python

    Module 4: Bioinformatics case study - RNA-seq bulk and single-cell data analysis

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