About this Course
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Approx. 8 hours to complete

English

Subtitles: English

Skills you will gain

BioinformaticsStatisticsData ScienceComputational Biology

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 8 hours to complete

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
2 hours to complete

Overview

8 videos (Total 81 min), 2 readings, 1 quiz
8 videos
Just Enough Cell Biology8m
Important Molecules in Molecular Biology7m
The Human Genome Project17m
Molecular Biology Structures9m
From Genes to Phenotypes9m
2 readings
Syllabus10m
Pre-Course Survey10m
1 practice exercise
Quiz 1: Overview and Molecular Biology20m
Week
2
1 hour to complete

Measurement Technology

3 videos (Total 25 min), 1 quiz
1 practice exercise
Quiz 2: Measurement Technology20m
Week
3
1 hour to complete

Computing Technology

6 videos (Total 39 min), 1 quiz
6 videos
Efficiency3m
Software Engineering8m
What is Computational Biology Software11m
1 practice exercise
Quiz 3: Computing Technology20m
Week
4
2 hours to complete

Data Science Technology

10 videos (Total 55 min), 2 readings, 2 quizzes
10 videos
Data Sharing Plans4m
Getting Help with Statistics2m
Plotting Your Data5m
Sample Size and Variability7m
Statistical Significance6m
Multiple Testing7m
Study Design, Batch Effects, and Confounding7m
2 readings
Course Project Instructions and Reading10m
Post-Course Survey10m
2 practice exercises
Quiz 4: Data Science Technology20m
Course Project20m
4.5
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38%

started a new career after completing these courses

29%

got a tangible career benefit from this course

Top reviews from Introduction to Genomic Technologies

By KKNov 21st 2017

Relatively nice introduction course, contents are maybe rather limited, yet as an instructive course, it does provide a clear overview which correlates well with the required answers for the quizzes!

By MRJun 13th 2016

Very good introductory course. It's a lot of material to cover for a newbie, but if you have some background, you will find you progress pretty quickly. Enjoyable, engaging, fun and useful.

Instructors

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Steven Salzberg, PhD

Professor
Biomedical Engineering, Computer Science, and Biostatistics
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Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

About Johns Hopkins University

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

About the Genomic Data Science Specialization

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, Bioconductor, and Galaxy. This Specialization is designed to serve as both a standalone introduction to genomic data science or as a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics, for scientists in these fields seeking to gain familiarity in data science and statistical tools to better interact with the data in their everyday work. To audit Genomic Data Science courses for free, visit https://www.coursera.org/jhu, click the course, click Enroll, and select Audit. Please note that you will not receive a Certificate of Completion if you choose to Audit....
Genomic Data Science

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.