About this Course
4.5
1,344 ratings
240 reviews
Specialization
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100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 8 hours to complete

Suggested: 8 hours/week...
Available languages

English

Subtitles: English

Skills you will gain

BioinformaticsStatisticsData ScienceComputational Biology
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 8 hours to complete

Suggested: 8 hours/week...
Available languages

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
2 hours to complete

Overview

In this Module, you can expect to study topics of "Just enough molecular biology", "The genome", "Writing a DNA sequence", "Central dogma", "Transcription", "Translation", and "DNA structure and modifications"....
Reading
8 videos (Total 81 min), 2 readings, 1 quiz
Video8 videos
What Is Genomics?7m
What Is Genomic Data Science?8m
Just Enough Cell Biology8m
Important Molecules in Molecular Biology7m
The Human Genome Project17m
Molecular Biology Structures9m
From Genes to Phenotypes9m
Reading2 readings
Syllabus10m
Pre-Course Survey10m
Quiz1 practice exercise
Quiz 1: Overview and Molecular Biology20m
Week
2
Hours to complete
1 hour to complete

Measurement Technology

In this module, you'll learn about polymerase chain reaction, next generation sequencing, and applications of sequencing....
Reading
3 videos (Total 25 min), 1 quiz
Video3 videos
Next Generation Sequencing7m
Applications of Sequencing8m
Quiz1 practice exercise
Quiz 2: Measurement Technology20m
Week
3
Hours to complete
1 hour to complete

Computing Technology

The lectures for this module cover a few basic topics in computing technology. We'll go over the foundations of computer science, algorithms, memory and data structures, efficiency, software engineering, and computational biology software....
Reading
6 videos (Total 39 min), 1 quiz
Video6 videos
Algorithms4m
Memory and Data Structures6m
Efficiency3m
Software Engineering8m
What is Computational Biology Software11m
Quiz1 practice exercise
Quiz 3: Computing Technology20m
Week
4
Hours to complete
2 hours to complete

Data Science Technology

In this module on Data Science Technology, we'll be covering quite a lot of information about how to handle the data produced during the sequencing process. We'll cover reproducibility, analysis, statistics, question types, the central dogma of inference, analysis code, testing, prediction, variation, experimental design, confounding, power, sample size, correlation, causation, and degrees of freedom....
Reading
10 videos (Total 55 min), 2 readings, 2 quizzes
Video10 videos
What Went Wrong?4m
The Central Dogma of Statistics3m
Data Sharing Plans4m
Getting Help with Statistics2m
Plotting Your Data5m
Sample Size and Variability7m
Statistical Significance6m
Multiple Testing7m
Study Design, Batch Effects, and Confounding7m
Reading2 readings
Course Project Instructions and Reading10m
Post-Course Survey10m
Quiz2 practice exercises
Quiz 4: Data Science Technology20m
Course Project20m
4.5
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30%

started a new career after completing these courses
Career Benefit

19%

got a tangible career benefit from this course

Top Reviews

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

Avatar

Steven Salzberg, PhD

Professor
Biomedical Engineering, Computer Science, and Biostatistics
Avatar

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

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, Python, R, Bioconductor, and Galaxy. The sequence is a stand alone introduction to genomic data science or a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics. To audit Genomic Data Science courses for free, visit https://www.coursera.org/jhu, click the course, click Enroll, and select 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.