Genomic Data Science Capstone

  • 4.5
Approx. 12 hours to complete

Course Summary

This course introduces the concepts and tools needed for genomic data science projects. It covers the basics of genomic data science, including genomic data structures, processing pipelines, and analysis tools.

Key Learning Points

  • Learn the fundamental concepts of genomic data science
  • Understand the structure and properties of genomic data
  • Develop skills in analyzing and processing genomic data

Related Topics for further study


Learning Outcomes

  • Understand the fundamental concepts of genomic data science
  • Develop skills in analyzing and processing genomic data
  • Apply genomic data science concepts to real-world problems

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of biology
  • Basic programming skills in Python

Course Difficulty Level

Intermediate

Course Format

  • Online self-paced
  • Video lectures
  • Assignments and quizzes

Similar Courses

  • Data Science in Genomics
  • Genomic Data Science with Galaxy

Related Education Paths


Related Books

Description

In this culminating project, you will deploy the tools and techniques that you've mastered over the course of the specialization. You'll work with a real data set to perform analyses and prepare a report of your findings.

Outline

  • Introduction
  • Introduction to the Capstone - Kasper Hansen
  • Welcome
  • The big question
  • What you will be doing in this capstone project
  • Passing the Capstone
  • Why re-analysis?
  • Why is this so hard?
  • Introduction to the Dataset - Andrew Jaffe
  • The Dataset - Andrew Jaffe
  • Phenotype information
  • Getting the data from SRA
  • Which samples to use
  • Understand the Problem
  • The Results - Andrew Jaffe
  • Task 1 Instructions
  • Understand the problem
  • Alignment
  • QC the Alignment
  • Get Feature Counts
  • Exploratory Analysis
  • Statistical Analysis
  • Gene Set Analysis
  • Describe Your Analysis

Summary of User Reviews

Read reviews for the Genomic Data Science Project course on Coursera. Users have generally enjoyed the course and found it to be informative and well-structured. One key aspect that many users thought was good is the practical application of genomics in real-world scenarios.

Pros from User Reviews

  • Informative and well-structured course material
  • Practical application of genomics in real-world scenarios
  • Great introduction to genomics and its applications
  • Engaging and interactive course format
  • Helpful and knowledgeable instructors

Cons from User Reviews

  • Some users felt that the course was too basic and did not cover advanced topics
  • Technical difficulties with the online platform were reported by a few users
  • Some users felt that the assessments were too easy and did not provide enough challenge
  • A few users found the course material to be too theoretical and not practical enough
  • The course may not be suitable for individuals without a background in biology or genetics
English
Available now
Approx. 12 hours to complete
Jeff Leek, PhD, Kasper Daniel Hansen, PhD
Johns Hopkins University
Coursera

Instructor

Jeff Leek, PhD

  • 4.5 Raiting
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