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 Biology
Enseñado 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
- Reading: Welcome
- Reading: Pre-Course Survey
- Reading: 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)
- Reading: Final Exam Instructions
- Reading: Post Course Survey
Calificado: Lecture 7 Quiz
Calificado: Lecture 8 Quiz
Calificado: Final Exam (Read Instructions First)
Preguntas Frecuentes
Cómo funciona
Coursework
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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
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.
I learned a lot. The final exam was more difficult than the course content, but I think it was critical for ensuring that I was able to apply the course content.
The course is great for a beginner. But, Biopython should be discussed in more details.
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