Bioconductor for Genomic Data Science

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

( 37 Reviews )

Created by: Kasper Daniel Hansen

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Overall Score : 68 / 100

Course Description

Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University.

Time: 17h

Instructor Details

Kasper Daniel Hansen

3.4 Rating
37 Reviews

Kasper D. Hansen is an Assistant Professor at the Johns Hopkins Bloomberg School of Public Health and the Johns Hopkins School of Medicine. He recieved his Ph.D. in statistics with a Designated Emphasis in Computational and Genomic logy from the University of California, Berkeley. He is working on developing new ways of analyzing high-throughput data in biology and has made important contributions to the analysis and interpretation of epigenetic data. Dr. Hansen is one of the longest currently active contributers to the conductor project and serves on its technical advisory board.

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3.4

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By CW on 29-Apr-16

I struggled so hard! No way near the same level as the other courses.Came from Computer science background and felt that I missed so many terms and concepts that were required for this course

By Michael S on 18-Aug-16

the class gave me nothing. nobody wan's to waste tons of hours to learn nothing. so I personally think this course is on of the worst classes among the Coursera.

By Clara B on 8-Aug-16

Course is not good at all. The instructor assumes that you have a good genomic background.

By Sevdalena L on 30-Jul-17

A very basic course you need to learn by yourself a lot

By Lee M S on 13-Mar-16

Discussions in this course are voiceless and dead and the instructor never appears in discussions. I couldn't understand anything from video lectures: cannot understand enunciation not enough detailed, lack of examples related to the assignments. So the only source was repository http://kasperdanielhansen.github.io/genbioconductor/ with html files. And a lot of searching through bioconductor forums. I liked the relevance of quiz questions to real life genomic questions, but all quiz questions were outstandingly difficult, because of both lack of examples in lectures and errors in some packages inside bioconductor. Overall I expected much more from this course and I cannot recommend it to anyone.

By unijoy on 11-May-18

Confusing, not straight forward, transcription is all wrong.

By John D M on 7-Nov-18

Lots of knowledge but not systematic. Hard to follow for R beginners and there should have been quiz in lectures (like the "Algorithm for DNA sequencing" course). A lot of knowledge used in the homework was not mentioned/addressed in the lectures.

By Max D on 7-Aug-18

Need to be simplified. Personally, I understood the lectures notes better than lectures videos.

By Rajib K on 11-Apr-16

There is not support in the forum

By Matias T on 18-Apr-18

So far findng the course nice as it covers the basics. I am new to programing and bioinformatics so I am finding it ok. However, would like more of an explanation iwith regards to both the biology and bioinformatics.

By Hang Y on 18-Apr-17