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Python for Everybody

Charles Severance and Charles Russell Severance

This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.

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What's inside

Five courses

Programming for Everybody (Getting Started with Python)

(0 hours)

This course teaches the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course.

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Python Data Structures

(0 hours)

This course introduces Python's core data structures. We'll explore how to use built-in data structures like lists, dictionaries, and tuples for complex data analysis.

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Using Python to Access Web Data

(0 hours)

This course teaches how to treat the Internet as a source of data. We will scrape, parse, and read web data and access data using web APIs. We will work with HTML, XML, and JSON data formats in Python. This course covers Chapters 11-13 of the textbook “Python for Everybody”.

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Using Databases with Python

(0 hours)

This course introduces the basics of SQL and database design for data gathering, analysis, and processing. It uses SQLite3 as its database and covers web crawlers, data gathering, and visualization using D3.js. This course aligns with Chapters 14-15 of "Python for Everybody" and assumes familiarity with Chapters 1-13 and the first three courses in this specialization.

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Capstone: Retrieving, Processing, and Visualizing Data with Python

(0 hours)

In this capstone, students will build applications to retrieve, process, and visualize data using Python. Projects will involve all elements of the specialization. Students will start with visualizations to familiarize themselves with technologies and then pursue their own projects to visualize data they have or can find. Chapters 15 and 16 from “Python for Everybody” will serve as the backbone for the capstone. This course covers Python 3.

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Time

50 hours

Level

Introductory

Via

Coursera

Institution

University of Michigan

Instructors

Charles Severance

Charles Russell Severance

Level

Introductory

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