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.
About this Course
Learner Career Outcomes
Approx. 8 hours to complete
Learner Career Outcomes
Approx. 8 hours to complete
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TOP REVIEWS FROM INTRODUCTION TO GENOMIC TECHNOLOGIES
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!
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.
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.
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.
This course had gave me the overview of the statistical analyses for genomic data analysis. This is useful for me as I can employ those statistical Analyses knowledge in the near future
Clear and concise. Ministered by researchers with outstanding background in research, able to translate topics of relatively high complexity into easy language for a broad audience.
Fantastic course from two true authorities in the field. Great examples, and I was surprisingly enthralled by the statistical section; turns out I just never had the right teacher!
The tutorial videos were concise while delivering the essential material. The speakers were also engaging and it was a joy to watch them. Overall fairly satisfied with the course.
I belongs to Computer Science background instead of biological background this course enhanced my visualization and gave me answers of all why's related to computational biology .
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.
Good introductory course, highly interdisciplinary. You will need some basic knowledge in molecular biology and statistics in order to better understand video lectures
This course lays out the foundation for the rest of the Specialization. The course feels a little light on content but the concepts it does cover are well described.
Nice module!!! I've learnt a lot!!\n\nI love the instructors so much, they not only taught us the knowledge clearly but explained them in plain English.\n\nThanks!
The explanations were very clear, and the content was simple enough to not be daunting yet the content was still very interesting, especially the final project.
Wish it was a bit more challenging for those of us in scientific research, but I understand the need to be broadly applicable. Enjoyed it and learned a lot.
Very good introduction to the field of computational genomics. Good overview of how biology, computation and statistics are intertwined to study genome.
A good basic overview of the subject. Can be skipped if you have some biology background as many of these topics are covered during a standard sequence.
I have significant background in this material. I enjoyed the presentation style and felt the quizzes and assignment were well matched to the material.
A thorough, yet concise introduction to the specialization and to some of the technical difficulties associate with genomic technologies. Thank you!
Nice and Valuable Course by John Hopkins University, Hats off instructor. Due to this Course I have cleared many doubts on Genome and Data Science.
About the Genomic Data Science Specialization
Frequently Asked Questions
When will I have access to the lectures and assignments?
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.
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.
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Is financial aid available?
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