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 материала для самостоятельного изучения
- 閱讀: Welcome
- 閱讀: Pre-Course Survey
- 閱讀: 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 материала 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)
- 閱讀: Final Exam Instructions
- 閱讀: Post Course Survey
Оцениваемый: Lecture 7 Quiz
Оцениваемый: Lecture 8 Quiz
Оцениваемый: Final Exam (Read Instructions First)
Часто задаваемые вопросы
Как это работает
課程作業
每門課程都像是一本互動的教科書，具有預先錄製的視頻、測驗和項目。
來自同學的幫助
與其他成千上萬的學生相聯繫，對想法進行辯論，討論課程材料，並尋求幫助來掌握概念。
證書
獲得正式認證的作業，並與朋友、同事和雇主分享您的成功。
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
| Приобрести курс | |
|---|---|
| Получить доступ к материалам курса | Доступен |
| Получить доступ к оцениваемым материалам курса | Доступен |
| Получить итоговую оценку | Доступен |
| Earn a shareable Course Certificate | Доступен |
Рейтинги и отзывы
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.
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.
Coursera делает лучшее в мире образование доступным каждому, предлагая онлайн-курсы от ведущих университетов и организаций.
© Coursera Inc., 2018 Все права защищены.
KR
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.