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: Universidade Johns Hopkins
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 vídeos, 3 leituras
- Reading: Welcome
- Reading: Pre-Course Survey
- Reading: Syllabus
- Vídeo: Lecture 1: Overview of Python
- 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 vídeos
- Vídeo: Lecture 3.1: Data Structures Part 1 (11:58)
- 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 vídeos
- Vídeo: Lecture 5.1: Functions Part 1 (5:54)
- 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 vídeos, 2 leituras
- Vídeo: Lecture 7.1: Communicating with the Outside Part 1 (6:41)
- 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
Universidade 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.
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
The final quiz was very challenging, but the lectures were simply put.
This is a quick introduction into Python for biological data. I would say there is much more to Python than what's included in this course, however the material was presented quite clearly. I had to increase the playing speed of the videos a bit, all the slow-talking was quite distracting after some time. The quiz questions were sometimes a bit tricky and I liked that. Final exam is much more difficult than the quiz questions and requires significant effort. To be honest it was a bit easy for me to pass, but that's because I've previously solved similar problems at rosalind.info.
You better know a lot about Python if you plan to pass this course!! Items covered in lecture are elementary. Items covered in exams/quiz's are Graduate Level!!!
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The course is great for a beginner. But, Biopython should be discussed in more details.