Python for Everybody Specialization

Starts Apr 03

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Python for Everybody Specialization

Learn to Program and Analyze Data with Python. Develop programs to gather, clean, analyze, and visualize data.

About This Specialization

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.

Created by:

courses
5 courses

Follow the suggested order or choose your own.

projects
Projects

Designed to help you practice and apply the skills you learn.

certificates
Certificates

Highlight your new skills on your resume or LinkedIn.

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Enroll and get full access to every course in the Specialization for 7 days. Cancel any time.
Courses
Beginner Specialization.
No prior experience required.
  1. COURSE 1

    Programming for Everybody (Getting Started with Python)

    Upcoming session: Apr 3 — May 29.
    Commitment
    2-4 hours/week
    Subtitles
    English, Chinese (Simplified)

    About the Course

    This course aims to teach everyone 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. This course will cover Chapters 1-5 of the textbook “Python for Informatics”. This course is equivalent to the first half of the 11-week "Programming for Everybody (Python)" course. Once a student completes this course, they will be ready to take more advanced programming courses. This course covers Python 2.
  2. COURSE 2

    Python Data Structures

    Upcoming session: Apr 3 — May 29.
    Commitment
    2-4 hours/week
    Subtitles
    English, Chinese (Simplified)

    About the Course

    This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Informatics”. This course is equivalent to the second half of the 11-week "Programming for Everybody (Python)" course. This course covers Python 2.
  3. COURSE 3

    Using Python to Access Web Data

    Upcoming session: Apr 3 — May 22.
    Commitment
    6 weeks of study, 2-4 hours/week
    Subtitles
    English

    About the Course

    This course will show how one can treat the Internet as a source of data. We will scrape, parse, and read web data as well as access data using web APIs. We will work with HTML, XML, and JSON data formats in Python. This course will cover Chapters 11-13 of the textbook “Python for Informatics”. To succeed in this course, you should be familiar with the material covered in Chapters 1-10 of the textbook and the first two courses in this specialization. These topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, Python data structures (strings, lists, dictionaries, and tuples), and manipulating files. This course covers Python 2.
  4. COURSE 4

    Using Databases with Python

    Upcoming session: Apr 3 — May 15.
    Commitment
    5 weeks of study, 2-3 hours/week
    Subtitles
    English

    About the Course

    This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization. This course will cover Chapters 14-15 of the book “Python for Informatics”. To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 2.
  5. COURSE 5

    Capstone: Retrieving, Processing, and Visualizing Data with Python

    Upcoming session: Apr 3 — May 29.
    Commitment
    6 weeks of study, 2-4 hours/week
    Subtitles
    English

    About the Capstone Project

    In the capstone, students will build a series of applications to retrieve, process and visualize data using Python. The projects will involve all the elements of the specialization. In the first part of the capstone, students will do some visualizations to become familiar with the technologies in use and then will pursue their own project to visualize some other data that they have or can find. Chapter 15 from the book “Python for Informatics” will serve as the backbone for the capstone. This course covers Python 2.

Pricing

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  • Unlimited access to all courses in the Specialization.

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  • Certificate when you complete.

    Share on your resume, LinkedIn, and CV.

Creators

  • University of Michigan

    The University of Michigan is recognized as a leader in higher education due to the outstanding quality of its 19 schools and colleges, internationally recognized faculty, and departments with 250 degree programs.

    The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.

  • Charles Severance

    Charles Severance

    Associate Professor

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