Python for Genomic Data Science

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Beschreibung

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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 Genomic Data Science Specialization Language English How To Pass Pass all graded assignments to complete the course. User Ratings 4.3 stars Average User Rating 4.3See…

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Frequently asked questions

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Noch nicht den perfekten Kurs gefunden? Verwandte Themen: Data Science Python, Data Science, Python, Big Data und Data Analytics.

When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

  • Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

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 Genomic Data Science Specialization Language English How To Pass Pass all graded assignments to complete the course. User Ratings 4.3 stars Average User Rating 4.3See what learners said Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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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 expand


  1. Reading: Welcome
  2. Reading: Pre-Course Survey
  3. Reading: Syllabus
  4. Video: Lecture 1: Overview of Python
  5. Video: Lecture 2.1 - First Steps Toward Programming Part 1
  6. Video: Lecture 2.2 - First Steps Toward Programming Part 2
  7. Video: Lecture 2.3 - First Steps Toward Programming Part 3 (8:57)
  8. 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 expand


  1. Video: Lecture 3.1: Data Structures Part 1 (11:58)
  2. Video: Lecture 3.2: Data Structures Part 2 (10:41)
  3. Video: Lecture 4.1: Ifs and Loops Part 1 (11:26)
  4. 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 expand


  1. Video: Lecture 5.1: Functions Part 1 (5:54)
  2. Video: Lecture 5.2: Functions Part 2 (8:20)
  3. Video: Lecture 5.3: Functions Part 3 (13:24)
  4. 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 expand


  1. Video: Lecture 7.1: Communicating with the Outside Part 1 (6:41)
  2. Video: Lecture 7.2: Communicating with the Outside Part 2 (7:38)
  3. Video: Lecture 7.3: Communicating with the Outside Part 3 (17:42)
  4. Video: Lecture 8: Biopython (13:32)
  5. Reading: Final Exam Instructions
  6. Reading: Post Course Survey

Graded: Lecture 7 Quiz
Graded: Lecture 8 Quiz
Graded: Final Exam (Read Instructions First)

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