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.
ofrecido por
Universidad Johns HopkinsAcerca de este Curso
38.623 vistas recientes
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Aprox. 9 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
Habilidades que obtendrás
- Bioinformatics
- Biopython
- Python Programming
- Genomics
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Aprox. 9 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
ofrecido por
Universidad 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.
Programa - Qué aprenderás en este curso
2 horas para completar
Week One
This week we will have an overview of Python and take the first steps towards programming.
2 horas para completar
5 videos (Total 58 minutos), 3 lecturas, 2 cuestionarios
2 horas para completar
Week Two
In this module, we'll be taking a look at Data Structures and Ifs and Loops.
2 horas para completar
4 videos (Total 50 minutos)
2 horas para completar
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.
2 horas para completar
4 videos (Total 38 minutos)
3 horas para completar
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.
3 horas para completar
4 videos (Total 46 minutos), 2 lecturas, 3 cuestionarios
Reseñas
Principales reseñas sobre PYTHON PARA CIENCIA DE LOS DATOS GENÓMICA
por SM28 de abr. de 2020
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.
por MK13 de dic. de 2016
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.
por KR16 de jul. de 2018
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.
por JD6 de oct. de 2017
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.
Preguntas Frecuentes
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