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.
Este curso forma parte de Programa Especializado - Genomic Data Science
ofrecido por
Programa Especializado - Genomic Data ScienceUniversidad Johns HopkinsAcerca de este Curso
47,115 vistas recientes
Resultados profesionales del estudiante
31%
comenzó una nueva carrera después de completar estos cursos
26%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 8 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 9 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Chino (simplificado), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Turco (Turkish), Inglés (English), Español (Spanish)
Habilidades que obtendrás
BioinformaticsBiopythonPython ProgrammingGenomics
Resultados profesionales del estudiante
31%
comenzó una nueva carrera después de completar estos cursos
26%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 8 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 9 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Chino (simplificado), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Turco (Turkish), 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
5 videos
Lecture 2.1 - First Steps Toward Programming Part 110m
Lecture 2.2 - First Steps Toward Programming Part 215m
Lecture 2.3 - First Steps Toward Programming Part 3 (8:57)8m
Lecture 2.4 - First Steps Toward Programming Part 4 (9:58)9m
3 lecturas
Welcome10m
Pre-Course Survey10m
Syllabus10m
2 ejercicios de práctica
Lecture 1 Quiz30m
Lecture 2 Quiz30m
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)
4 videos
Lecture 3.2: Data Structures Part 2 (10:41)10m
Lecture 4.1: Ifs and Loops Part 1 (11:26)11m
Lecture 4.2: Ifs and Loops Part 2 (15:28)15m
2 ejercicios de práctica
Lecture 3 Quiz30m
Lecture 4 Quiz30m
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)
4 videos
Lecture 5.2: Functions Part 2 (8:20)8m
Lecture 5.3: Functions Part 3 (13:24)13m
Lecture 6: Modules and Packages (10:32)10m
2 ejercicios de práctica
Lecture 5 Quiz30m
Lecture 6 Quiz30m
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
4 videos
Lecture 7.2: Communicating with the Outside Part 2 (7:38)7m
Lecture 7.3: Communicating with the Outside Part 3 (17:42)17m
Lecture 8: Biopython (13:32)13m
2 lecturas
Final Exam Instructions10m
Post Course Survey10m
3 ejercicios de práctica
Lecture 7 Quiz30m
Lecture 8 Quiz30m
Final Exam (Read Instructions First)30m
Reseñas
Principales reseñas sobre PYTHON FOR GENOMIC DATA SCIENCE
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.
Acerca de Programa especializado: Genomic Data Science
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.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si me suscribo a este Programa especializado?
Is financial aid available?
¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.
