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Python for Genomic Data Science
  • Level Foundation
  • المدة 9 ساعات hours
  • الطبع بواسطة Johns Hopkins University
  • Offered by

عن

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.

الوحدات

Module 1

    • 5 Videos
    • 3 Readings
    • 2 Assignment
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2 Assignment

  • Lecture 1 Quiz
  • Lecture 2 Quiz

5 Videos

  • Lecture 1: Overview of Python
  • Lecture 2.1 - First Steps Toward Programming Part 1
  • Lecture 2.2 - First Steps Toward Programming Part 2
  • Lecture 2.3 - First Steps Toward Programming Part 3 (8:57)
  • Lecture 2.4 - First Steps Toward Programming Part 4 (9:58)

3 Readings

  • Welcome
  • Pre-Course Survey
  • Syllabus

Module 2

    • 4 Videos
    • 2 Assignment
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2 Assignment

  • Lecture 3 Quiz
  • Lecture 4 Quiz

4 Videos

  • Lecture 3.1: Data Structures Part 1 (11:58)
  • Lecture 3.2: Data Structures Part 2 (10:41)
  • Lecture 4.1: Ifs and Loops Part 1 (11:26)
  • Lecture 4.2: Ifs and Loops Part 2 (15:28)

Module 3

    • 4 Videos
    • 2 Assignment
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2 Assignment

  • Lecture 5 Quiz
  • Lecture 6 Quiz

4 Videos

  • Lecture 5.1: Functions Part 1 (5:54)
  • Lecture 5.2: Functions Part 2 (8:20)
  • Lecture 5.3: Functions Part 3 (13:24)
  • Lecture 6: Modules and Packages (10:32)

Module 4

    • 4 Videos
    • 2 Assignment
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2 Assignment

  • Lecture 7 Quiz
  • Lecture 8 Quiz

4 Videos

  • Lecture 7.1: Communicating with the Outside Part 1 (6:41)
  • Lecture 7.2: Communicating with the Outside Part 2 (7:38)
  • Lecture 7.3: Communicating with the Outside Part 3 (17:42)
  • Lecture 8: Biopython (13:32)

Final Exam

    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Final Exam (Read Instructions First)

1 Readings

  • Final Exam Instructions

Post Course Survey

    • 1 Readings
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1 Readings

  • Post Course Survey

Auto Summary

"Python for Genomic Data Science" is a foundational course offered by Johns Hopkins University on Coursera, focusing on Python programming and iPython notebooks. It's part of the Genomic Big Data Science Specialization. Ideal for beginners in data science and AI, the course spans 540 minutes and is available through Starter, Professional, and Paid subscription options.

Mihaela Pertea, PhD
Instructors

Mihaela Pertea, PhD

Steven Salzberg, PhD
Instructors

Steven Salzberg, PhD