About this course: 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.
Created by: Johns Hopkins University
Taught by: Mihaela Pertea, PhD, Assistant Professor
Center for Computational Biology
Taught by: Steven Salzberg, PhD, Professor
Biomedical Engineering, Computer Science, and Biostatistics
| Basic Info | Course 3 of 8 in the 基因组数据科学 Specialization |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
Syllabus
WEEK 1
Week One
This week we will have an overview of Python and take the first steps towards programming.
5 videos, 3 readings
- Reading: Welcome
- Reading: Pre-Course Survey
- Reading: Syllabus
- Video: Lecture 2.1 - First Steps Toward Programming Part 1
- Video: Lecture 2.2 - First Steps Toward Programming Part 2
- Video: Lecture 2.3 - First Steps Toward Programming Part 3 (8:57)
- Video: Lecture 2.4 - First Steps Toward Programming Part 4 (9:58)
Graded: Lecture 1 Quiz
Graded: Lecture 2 Quiz
WEEK 2
Week Two
In this module, we'll be taking a look at Data Structures and Ifs and Loops.
4 videos
- Video: Lecture 3.2: Data Structures Part 2 (10:41)
- Video: Lecture 4.1: Ifs and Loops Part 1 (11:26)
- Video: Lecture 4.2: Ifs and Loops Part 2 (15:28)
Graded: Lecture 3 Quiz
Graded: Lecture 4 Quiz
WEEK 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
- Video: Lecture 5.2: Functions Part 2 (8:20)
- Video: Lecture 5.3: Functions Part 3 (13:24)
- Video: Lecture 6: Modules and Packages (10:32)
Graded: Lecture 5 Quiz
Graded: Lecture 6 Quiz
WEEK 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 readings
- Video: Lecture 7.2: Communicating with the Outside Part 2 (7:38)
- Video: Lecture 7.3: Communicating with the Outside Part 3 (17:42)
- Video: Lecture 8: Biopython (13:32)
- Reading: Final Exam Instructions
- Reading: Post Course Survey
Graded: Lecture 7 Quiz
Graded: Lecture 8 Quiz
Graded: Final Exam (Read Instructions First)
FAQs
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Pricing
| Purchase Course | |
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| Access to course materials | Available |
| Access to graded materials | Available |
| Receive a final grade | Available |
| Earn a shareable Course Certificate | Available |
Ratings and Reviews
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.