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⇱ Python Data Visualization | Coursera

Python Data Visualization

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Python Data Visualization

39,106 already enrolled

Included with

Gain insight into a topic and learn the fundamentals.
4.6

549 reviews

Beginner level
No prior experience required
Flexible schedule
9 hours to complete
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.6

549 reviews

Beginner level
No prior experience required
Flexible schedule
9 hours to complete
Learn at your own pace

Build your subject-matter expertise

This course is part of the Introduction to Scripting in Python Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs.

By the end of the course, you will be comfortable installing Python packages, analyzing existing data, and generating visualizations of that data. This course will complete your education as a scripter, enabling you to locate, install, and use Python packages written by others. You will be able to effectively utilize tools and packages that are widely available to amplify your effectiveness and write useful programs.

This module will discuss the importance of using and writing documentation. The Python documentation is a valuable resource for learning about language features you haven't seen yet.

What's included

6 videos2 readings1 assignment

6 videos•Total 38 minutes
  • Welcome!•2 minutes
  • Class Structure•3 minutes
  • Using Python Documentation•8 minutes
  • Writing Documentation•9 minutes
  • Python Built-in Modules•5 minutes
  • Installing Packages in Thonny•10 minutes
2 readings•Total 20 minutes
  • Code Reuse•10 minutes
  • Practice Project: Drawing a USA Map in matplotlib•10 minutes
1 assignment•Total 30 minutes
  • Documentation•30 minutes

This module will teach you about packages and modules in Python, including how to install packages and how to create your own modules. You will also learn to use the Pygal plotting library.

What's included

6 videos3 readings2 app items

6 videos•Total 43 minutes
  • Python Packages and Modules•7 minutes
  • Importing Your Own Code•7 minutes
  • Line Plots with Pygal•6 minutes
  • Installing Packages using PIP - Part 1•7 minutes
  • Installing Packages using PIP - Part 2•6 minutes
  • Project 1 Video•11 minutes
3 readings•Total 30 minutes
  • Practice Project: Extracting Data from an SVG File•10 minutes
  • Project Description: Creating Line Plots of GDP Data•10 minutes
  • OwlTest: Automated Feedback and Assessment•10 minutes
2 app items•Total 120 minutes
  • Project Submission History•60 minutes
  • Project: Creating Line Plots of GDP Data•60 minutes

This module will teach you about Python sets. Sets are used to hold unordered collections of data without duplicates. We will also discuss efficiency.

What's included

4 videos3 readings1 app item

4 videos•Total 36 minutes
  • Python Sets•7 minutes
  • Analyzing the Efficiency of Your Code•9 minutes
  • Comparing Two Methods for Joining CSV Files•10 minutes
  • Project 2 Video•10 minutes
3 readings•Total 30 minutes
  • Hashing•10 minutes
  • Practice Project: Reconciling Cancer-Risk Data with the USA Map•10 minutes
  • Project Description: Plotting GDP Data on a World Map - Part 1•10 minutes
1 app item•Total 60 minutes
  • Project: Plotting GDP Data on World Map (Part 1)•60 minutes

The final project of the specialization will enable you to demonstrate mastery of the concepts you have learned up to this point. You will also be able to understand and compare different approaches to reconciling two data sets.

What's included

3 videos3 readings1 app item

3 videos•Total 21 minutes
  • Growing as a Scripter•9 minutes
  • Project 3 Video•10 minutes
  • Wrapup Video•3 minutes
3 readings•Total 30 minutes
  • Version Control•10 minutes
  • Practice Project: Visualizing Cancer-risk Data on the USA Map•10 minutes
  • Project Description: Plotting GDP Data on a World Map - Part 2•10 minutes
1 app item•Total 60 minutes
  • Project: Plotting GDP Data on World Map (Part 2)•60 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Instructor ratings
4.6 (64 ratings)
Rice University
11 Courses•421,451 learners

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Showing 3 of 549

HR
·

Reviewed on Aug 9, 2020

Good course, I learn scripting structure in python and map visualization using pygal

HS
·

Reviewed on Jan 5, 2018

A challenging and rewarding specialization - thank you Joe and Scott!

LE
·

Reviewed on Dec 10, 2019

Really well planned set of 4 courses, that have given me a good basis knowledge and have given me an appetite for further learning on Python

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,