How do we infer which genes orchestrate various processes in the cell? How did humans migrate out of Africa and spread around the world? In this class, we will see that these two seemingly different questions can be addressed using similar algorithmic and machine learning techniques arising from the general problem of dividing data points into distinct clusters.
This course is part of the Bioinformatics Specialization
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Course 5 of 7 in the
Beginner Level
Approx. 10 hours to complete
English
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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 5 of 7 in the
Beginner Level
Approx. 10 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
5 hours to complete
Week 1: Introduction to Clustering Algorithms
5 hours to complete
5 videos (Total 33 min), 2 readings, 3 quizzes
4 hours to complete
Week 2: Advanced Clustering Techniques
4 hours to complete
5 videos (Total 35 min), 1 reading, 3 quizzes
1 hour to complete
Week 3: Introductory Algorithms in Population Genetics
1 hour to complete
2 readings
Reviews
- 5 stars52.87%
- 4 stars27.58%
- 3 stars10.34%
- 2 stars3.44%
- 1 star5.74%
TOP REVIEWS FROM GENOMIC DATA SCIENCE AND CLUSTERING (BIOINFORMATICS V)
by MKNov 10, 2018
Absolutely fantastic course. Kudos to the course creators.
by JMMar 21, 2020
Really enjoyed the clustering chapters and the practical exercises with the yeast dataset
by QWMay 21, 2017
The first two week was very good, but for week 3 I don't see the content has any connection with Genomic Data Science.
by ZXJul 20, 2019
In depth and comprehensive coverage of the topics in genetic data analysis.
About the Bioinformatics Specialization

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