Informações sobre o 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.
Desenvolvido por: Johns Hopkins University
Ministrado por: Mihaela Pertea, PhD, Assistant Professor
Center for Computational Biology
Ministrado por: Steven Salzberg, PhD, Professor
Biomedical Engineering, Computer Science, and Biostatistics
| Informações básicas | Curso 3 de 8 no Genomic Data Science Specialization |
| Idioma | English |
| Como ser aprovado | Seja aprovado em todas as tarefas para concluir o curso. |
| Classificação do usuário |
Programa
SEMANA 1
Week One
This week we will have an overview of Python and take the first steps towards programming.
5 videos, 3 leituras
- 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)
Nota atribuída: Lecture 1 Quiz
Nota atribuída: 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)
Nota atribuída: Lecture 3 Quiz
Nota atribuída: 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)
Nota atribuída: Lecture 5 Quiz
Nota atribuída: 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 leituras
- 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
Nota atribuída: Lecture 7 Quiz
Nota atribuída: Lecture 8 Quiz
Nota atribuída: Final Exam (Read Instructions First)
Perguntas frequentes
Como funciona
Coursework
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Desenvolvedores
Johns Hopkins University
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Custo
| Comprar curso | |
|---|---|
| Acesso aos materiais do curso | Disponível |
| Acesso a materiais valendo nota | Disponível |
| Receba uma nota final | Disponível |
| Obtenha um Certificado de Curso compartilhável | Disponível |
Classificações e avaliações
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.