4.6
stars
4,228 ratings

Steven Salzberg, PhD +1 more instructor

86,850 already enrolled

Offered By

Johns Hopkins University

About this Course

60,421 recent views

This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed.  
This is the first course in the Genomic Data Science Specialization.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

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Start instantly and learn at your own schedule.

Approx. 6 hours to complete

English

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Skills you will gain

Bioinformatics
Statistics
Data Science
Computational Biology

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Approx. 6 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.68/5 (684 Ratings)

Steven Salzberg, PhD

Professor

Biomedical Engineering, Computer Science, and Biostatistics

111,268 Learners

2 Courses

Jeff Leek, PhD

Associate Professor, Biostatistics

Bloomberg School of Public Health

1,537,825 Learners

32 Courses

Offered by

Johns Hopkins University

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Syllabus - What you will learn from this course

Content Rating96%(9,125 ratings)

Week1

Week 1

2 hours to complete

Overview

2 hours to complete

8 videos (Total 81 min), 2 readings, 1 quiz

Week2

Week 2

1 hour to complete

Measurement Technology

1 hour to complete

3 videos (Total 25 min)

Week3

Week 3

1 hour to complete

Computing Technology

1 hour to complete

6 videos (Total 39 min)

Week4

Week 4

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.

2 hours to complete

10 videos (Total 55 min), 2 readings, 2 quizzes

10 videos

Why Care About Statistics?4mWhat Went Wrong?4mThe Central Dogma of Statistics3mData Sharing Plans4mGetting Help with Statistics2mPlotting Your Data5mSample Size and Variability7mStatistical Significance6mMultiple Testing7mStudy Design, Batch Effects, and Confounding7m

2 readings

Course Project Instructions and Reading10mPost-Course Survey10m

2 practice exercises

Quiz 4: Data Science Technology30mCourse Project30m

Reviews

4.6

659 reviews

5 stars
66.05%
4 stars
27.23%
3 stars
5.31%
2 stars
0.89%
1 star
0.49%

TOP REVIEWS FROM INTRODUCTION TO GENOMIC TECHNOLOGIES

by HGAug 5, 2020

Having a Computer Science background, the course helped me understand the foundational knowledge of Biology and Statistics. The explanations were easy to understand and digest.

by BSSep 1, 2016

The final project was way more work than any of the other weeks (10 hours!), but it was definitely worth stumbling my way around Galaxy and foreign genomic terms for that long.

by SMSep 7, 2019

This course is very well suitable for beginners. I am eagerly waiting to start the next course of the specialization for deeper understanding. Although, this course was very informative.

by SSMay 27, 2020

It was well taught. I liked the fact the two professors focused on two different subjects- biology and statistics portion of this course. The paragraphs written below each video was extremely helpful.

View all reviews

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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Introduction to Genomic Technologies

About this Course

Skills you will gain