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Learning Data Science in the Cloud

Python Course Introduction

The following video was used in my JMU classes, not specifically designed for this website.

Goals of the Course

Upon completion of this course, students are expected to

Develop the ability of computational thinking and programming to resolve real-world problems.
Understand basic concepts and common usages of Python, including:
- Basic data types
- Data containers
- Flow control
- Class and Functions
- Debugging
- Calculating simple statistics of numerical data
- Presenting data with simple visualizations
Build the problem-solving intellect in an important domain of critical thinking central to the digital age and essential for applied science and technology

Textbook

Downey, Allen B. 2015. Think Python: How to Think Like a Computer Scientist. 2nd edition. O’Reilly Media. Online version

Matthes, Eric. 2019. Python Crash Course, 2nd Edition: A Hands-On, Project-Based Introduction to Programming. Online version

Modules

Module 1 Introduction

Module 4

Module 7

Module 10

Module 13

Module 2

Module 5

Module 8

Module 11

Students Projects

Module 3

List
Set

Module 6

Module 9

Module 12

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