This course is part of the Genomic Data Science Specialization

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3,576 ratings

Steven Salzberg, PhD +1 more instructor

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Genomic Data Science SpecializationJohns Hopkins University

About this Course

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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.

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Shareable Certificate

Earn a Certificate upon completion

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Course 1 of 8 in the

Genomic Data Science Specialization

Approx. 6 hours to complete

English

Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish

Skills you will gain

BioinformaticsStatisticsData ScienceComputational 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.

Course 1 of 8 in the

Genomic Data Science Specialization

Approx. 6 hours to complete

English

Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish

Instructors

Instructor rating

4.7/5 (484 Ratings)

Steven Salzberg, PhD

Professor

Biomedical Engineering, Computer Science, and Biostatistics

88,713 Learners

2 Courses

Jeff Leek, PhD

Associate Professor, Biostatistics

Bloomberg School of Public Health

1,381,260 Learners

28 Courses

Offered by

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.

Syllabus - What you will learn from this course

Content Rating96%(7,682 ratings)

Week

Week 1

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".

2 hours to complete

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

Week

Week 2

1 hour to complete

Measurement Technology

In this module, you'll learn about polymerase chain reaction, next generation sequencing, and applications of sequencing.

1 hour to complete

3 videos (Total 25 min)

Week

Week 3

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.

1 hour to complete

6 videos (Total 39 min)

Week

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?4m

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

2 readings

Course Project Instructions and Reading10m

Post-Course Survey10m

2 practice exercises

Quiz 4: Data Science Technology30m

Course Project30m

Reviews

4.6

562 reviews

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TOP REVIEWS FROM INTRODUCTION TO GENOMIC TECHNOLOGIES

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.

by KKNov 20, 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 GHOct 5, 2019

This course provides a gentle introduction to the concepts and terminology associated with genomics. As someone who never took a biology course in high school or university, this course is perfect.

by NLApr 25, 2020

Great introduction to Genomics. The instructors really laid out the practical terms and gave great resources. Weeks 3 and 4 ramp up in difficulty, so some outside research in statistics is helpful.

View all reviews

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.

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, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

More questions? Visit the Learner Help Center.

Introduction to Genomic Technologies

About this Course

Skills you will gain