The course is intended for students in the biomedical sciences and researchers who have been given data and don’t know what to do with it or would like an overview of the different genomic data types that are out there.
Researcher's guide to omic fundamentals
Researcher's guide to omic fundamentals
This course is part of Researcher's Guide to Omic Data Specialization
Instructor: Candace Savonen, MS
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
4 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
By the end of the course you will confidently be able to use tutorials and resources to understand and interpret your genomic data.
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
15 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Researcher's Guide to Omic Data Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 5 modules in this course
In this module, we cover the basics of what will be covered in this course and what you should expect. Next we get into an overview of what omic data types and their workflows often look like.
What's included
3 videos3 readings2 assignments1 discussion prompt
In this module, we cover some considerations for how to choose between different omics tools. Then we talk about what is metadata and how do you make sure you get the most of your metadata?
What's included
2 videos2 readings4 assignments2 discussion prompts
In this module, we build on the previous module's generalities about omic data and get into specifics about sequencing data and microarray data.
What's included
2 videos2 readings4 assignments
In this module, we discuss what are general data analysis tools you may want to consider using. Lastly we cover some basics about annotation that are involved in every omic data analysis workflow.
What's included
1 video3 readings4 assignments
Now that you've learned some fundamentals about omic data, in this section we have a final quiz that tests your absorption of what we've discussed. We also have a Tool Glossary of recommended tools you may want to consider using for your next steps with your omic data.
What's included
1 video2 readings1 assignment
Instructor
Offered by
Recommended if you're interested in Data Analysis
Coursera Project Network
University of Rochester
University of Michigan
University of California, Davis
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
New to Data Analysis? Start here.
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
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.
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.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.