CourseraData ScienceFree courseCertificate

Genomic Data Science Capstone

With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome.This Specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, along with a variety of software implementation tools like Python, R, Biocon

4.5

11 reviews

Created by: Jeff Leek

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 90 / 100

Course 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.

Time: 21h

Instructor Details

Jeff Leek

4.5 Rating
11 Reviews

Jeff Leek is an Assistant Professor of statistics at the Johns Hopkins Bloomberg School of Public Health and co-editor of the Simply Statistics Blog. He received his Ph.D. in statistics from the University of Washington and is recognized for his contributions to genomic data analysis and statistical methods for personalized medicine. His data analyses have helped us understand the molecular mechanisms behind brain development, stem cell self-renewal, and the immune response to major blunt force trauma. His work has appeared in the top scientific and medical journals Nature, Proceedings of the National Academy of Sciences, Genome logy, and PLoS Medicine. He created Data Analysis as a component of the year-long statistical methods core sequence for statistics students at Johns Hopkins. The course has won a teaching excellence award, voted on by the students at Johns Hopkins, every year Dr. Leek has taught the course.

More courses by Jeff Leek

A Crash Course in Data Science
5.0 (490 Reviews)

- Provider: Coursera
- Time: 5h

Free

Practical Machine Learning
4.2 (475 Reviews)

- Provider: Coursera
- Time: 14h

Free

Data Science Capstone
4.2 (196 Reviews)

- Provider: Coursera
- Time: 9h

Free

Executive Data Science Capstone
4.5 (181 Reviews)

- Provider: Coursera
- Time: 1h

Free

Statistics for Genomic Data Science
3.8 (33 Reviews)

- Provider: Coursera
- Time: 18h

Free

All courses by Jeff Leek

Reviews

4.5

11 reviews in total

Select a bar to show only those reviews.Select the bar again to show every rating.

Write a review

By michel l on 20-Dec-18

An excellent challenge. Previous courses everything was neatly packaged before you start. This course teaches you how to get there.

By Jo A S on 16-Aug-18

Good application of the learnt techniques.

By Vishnu P on 11-Jan-18

good way of wrapping up everything we learned in the specialization :)

By Daniel M D on 11-May-17

Quite time demanding when genomics is not your primary field, but I have learnt so much!

By Muhammad A on 27-Feb-17

Really practical project in the genomics field!

By Rachita B on 13-Feb-17

Excellent set of assignments to apply multiple tools used in the specialization!

By Stephen R on 19-Dec-16

Very much helpful course. I appreciate it.

By Sudershan V on 20-Nov-16

By conducting the capstone project, I applied essential concepts and tools to analyse genomic data in order to understand interesting biological processes. The tasks were well designed and explained. The peers in this learning community were ver supportive. After taking this specialization, I feel confident in integrating genomic and transcriptomic data analysis into my plant biological research. THANK YOU!

By Roberto E V A on 24-Jul-16

Great course! I can't think of a better way of putting together all we learned during the whole specialisation in one real world research project...

By Piers C on 24-Jun-16

No clear explain about which is the right dataset to be downloaded, no support from instructors about that on discussion forum.

By Hom M K on 6-Jun-16

The first round of the capstone was separated in time by about 6 months from the initial courses, so the lack of additional material was rough. Otherwise the process was a good real word application of NGS processing.

Showing all 11 reviews