Об этом курсе: 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.
Автор: Johns Hopkins University
Преподаватели: Mihaela Pertea, PhD, Assistant Professor
Center for Computational Biology
Преподаватели: Steven Salzberg, PhD, Professor
Biomedical Engineering, Computer Science, and Biostatistics
| Основные сведения | Course 3 of 8 in the Genomic Data Science Specialization |
| Язык | English |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
Программа курса
НЕДЕЛЯ 1
Week One
This week we will have an overview of Python and take the first steps towards programming.
5 видео, 3 материалов для самостоятельного изучения
- Reading: Welcome
- Reading: Pre-Course Survey
- Reading: Syllabus
- Видео: Lecture 2.1 - First Steps Toward Programming Part 1
- Видео: Lecture 2.2 - First Steps Toward Programming Part 2
- Видео: Lecture 2.3 - First Steps Toward Programming Part 3 (8:57)
- Видео: Lecture 2.4 - First Steps Toward Programming Part 4 (9:58)
Оцениваемый: Lecture 1 Quiz
Оцениваемый: Lecture 2 Quiz
НЕДЕЛЯ 2
Week Two
In this module, we'll be taking a look at Data Structures and Ifs and Loops.
4 видео
- Видео: Lecture 3.2: Data Structures Part 2 (10:41)
- Видео: Lecture 4.1: Ifs and Loops Part 1 (11:26)
- Видео: Lecture 4.2: Ifs and Loops Part 2 (15:28)
Оцениваемый: Lecture 3 Quiz
Оцениваемый: Lecture 4 Quiz
НЕДЕЛЯ 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 видео
- Видео: Lecture 5.2: Functions Part 2 (8:20)
- Видео: Lecture 5.3: Functions Part 3 (13:24)
- Видео: Lecture 6: Modules and Packages (10:32)
Оцениваемый: Lecture 5 Quiz
Оцениваемый: Lecture 6 Quiz
НЕДЕЛЯ 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 видео, 2 материалов для самостоятельного изучения
- Видео: Lecture 7.2: Communicating with the Outside Part 2 (7:38)
- Видео: Lecture 7.3: Communicating with the Outside Part 3 (17:42)
- Видео: Lecture 8: Biopython (13:32)
- Reading: Final Exam Instructions
- Reading: Post Course Survey
Оцениваемый: Lecture 7 Quiz
Оцениваемый: Lecture 8 Quiz
Оцениваемый: Final Exam (Read Instructions First)
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Авторы
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.
Стоимость
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Рейтинги и отзывы
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.
The final quiz was very challenging, but the lectures were simply put.
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RL
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.