This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University.
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À propos de ce cours
Résultats de carrière des étudiants
31%
26%
Compétences que vous acquerrez
Résultats de carrière des étudiants
31%
26%
Offert par

Université Johns-Hopkins
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.
Programme du cours : ce que vous apprendrez dans ce cours
Week One
This week we will have an overview of Python and take the first steps towards programming.
Week Two
In this module, we'll be taking a look at Data Structures and Ifs and Loops.
Week Three
In this module, we have a long three-part lecture on Functions as well as a 10-minute look at Modules and Packages.
Week Four
In this module, we have another long three-part lecture, this time about Communicating with the Outside, as well as a final lecture about Biopython.
Avis
Meilleurs avis pour PYTHON FOR GENOMIC DATA SCIENCE
The lectures were very good. However, the final exam was poor with unclear instructions on how to solve the questions. Also, the final exam questions and the lectures were not very related.
Started very easy, but became quite hard at the end. Nicely structured and conveyes everything that is needed. However, sometimes I missed why specific tools have been used and not others.
A very good course for its length and the amount of time it requires. It improved my python skills and knowledge of Genomics. I'm more engaged in my pursuits than before taking the course.
Easy to understand and very powerful examples. Not just it made me familiar with python, it also made it easy for me to teach to my students and inspire them to pursue python further.
À propos du Spécialisation Science des données génomiques
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.

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