Acerca de este curso: 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.
Creada por: Johns Hopkins University
Enseñado por: Mihaela Pertea, PhD, Assistant Professor
Center for Computational BiologyEnseñado por: Steven Salzberg, PhD, Professor
Biomedical Engineering, Computer Science, and Biostatistics
| Información básica | Curso 3 de 8 en Genomic Data Science Specialization |
| Idioma | English |
| Cómo aprobar | Aprueba todas las tareas calificadas para completar el curso. |
| Calificaciones del usuario |
Programa
SEMANA 1
Week One
This week we will have an overview of Python and take the first steps towards programming.
5 videos, 3 lecturas
- Leyendo: Welcome
- Leyendo: Pre-Course Survey
- Leyendo: Syllabus
- Vídeo: Lecture 2.1 - First Steps Toward Programming Part 1
- Vídeo: Lecture 2.2 - First Steps Toward Programming Part 2
- Vídeo: Lecture 2.3 - First Steps Toward Programming Part 3 (8:57)
- Vídeo: Lecture 2.4 - First Steps Toward Programming Part 4 (9:58)
Calificado: Lecture 1 Quiz
Calificado: Lecture 2 Quiz
SEMANA 2
Week Two
In this module, we'll be taking a look at Data Structures and Ifs and Loops.
4 videos
- Vídeo: Lecture 3.2: Data Structures Part 2 (10:41)
- Vídeo: Lecture 4.1: Ifs and Loops Part 1 (11:26)
- Vídeo: Lecture 4.2: Ifs and Loops Part 2 (15:28)
Calificado: Lecture 3 Quiz
Calificado: Lecture 4 Quiz
SEMANA 3
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.
4 videos
- Vídeo: Lecture 5.2: Functions Part 2 (8:20)
- Vídeo: Lecture 5.3: Functions Part 3 (13:24)
- Vídeo: Lecture 6: Modules and Packages (10:32)
Calificado: Lecture 5 Quiz
Calificado: Lecture 6 Quiz
SEMANA 4
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.
4 videos, 2 lecturas
- Vídeo: Lecture 7.2: Communicating with the Outside Part 2 (7:38)
- Vídeo: Lecture 7.3: Communicating with the Outside Part 3 (17:42)
- Vídeo: Lecture 8: Biopython (13:32)
- Leyendo: Final Exam Instructions
- Leyendo: Post Course Survey
Calificado: Lecture 7 Quiz
Calificado: Lecture 8 Quiz
Calificado: Final Exam (Read Instructions First)
Preguntas Frecuentes
Cómo funciona
Trabajo del curso
Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.
Ayuda de tus compañeros
Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.
Certificados
Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.
Creadores
Johns Hopkins University
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.
Tarifa
| Comprar curso | |
|---|---|
| Accede a los materiales del curso | Disponible |
| Accede a los materiales con calificación | Disponible |
| Recibe una calificación final | Disponible |
| Obtén un Certificado de curso para compartir | Disponible |
Calificaciones y revisiones
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.
Well Done
The content of the course is quite good, but it would have been nice if they addressed more how to make code run efficiently in Python (e.g. which structures are fast and which should be avoided). Especially during the final exam the way you approach the questions can result in a running time from seconds to hours. As in practice the datasets you will work with tend to be quite large, I think this would be a valuable addition to the course.
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ZL
This is a very good course. I do learn some useful stuffs for biological analysis. But I want more from the Biopython section, that's the reason I register this course. It would be nice if they can provide the test data and expected result for us to test our code.