- 4 weeks long
- 15 hours to complete
- Learn for FREE, Upgradable
- Self-Paced
- Taught by: Pavel Pevzner, Phillip Compeau
- View Course Syllabus
Online Course Details:
Are you interested in learning how to program (in Python) within a scientific setting?
This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python. It offers a gently-paced introduction to our Bioinformatics Specialization (https://www.coursera.org/specializations/bioinformatics), preparing learners to take the first course in the Specialization, “Finding Hidden Messages in DNA” (https://www.coursera.org/learn/dna-analysis).
Each of the four weeks in the course will consist of two required components. First, an interactive textbook provides Python programming challenges that arise from real biological problems. If you haven’t programmed in Python before, not to worry! We provide “Just-in-Time” exercises from the Codecademy Python track (https://www.codecademy.com/learn/python). And each page in our interactive textbook has its own discussion forum, where you can interact with other learners. Second, each week will culminate in a summary quiz. Enhance your understanding of the latest advancements in biotech by checking out the top NPTEL courses in biotechnology.
Lecture videos are also provided that accompany the material, but these videos are optional.
SKILLS YOU WILL GAIN
- Bioinformatics
- Bioinformatics Algorithms
- Biology
- Python Programming
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