Python Data Visualization

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Python Data Visualization

This course is part of Introduction to Scripting in Python Specialization

Instructors: Scott Rixner

39,050 already enrolled

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4 modules

Gain insight into a topic and learn the fundamentals.

549 reviews

Beginner level

No prior experience required

Flexible schedule

9 hours to complete

Learn at your own pace

95%

Most learners liked this course

4 modules

Gain insight into a topic and learn the fundamentals.

549 reviews

Beginner level

No prior experience required

Flexible schedule

9 hours to complete

Learn at your own pace

95%

Most learners liked this course

Skills you'll gain

Tools you'll learn

Python Programming

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

1 assignment

Taught in English

91%

of learners achieved a positive career outcome

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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

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 videosTotal 43 minutes

Python Packages and Modules7 minutes
Importing Your Own Code7 minutes
Line Plots with Pygal6 minutes
Installing Packages using PIP - Part 17 minutes
Installing Packages using PIP - Part 26 minutes
Project 1 Video11 minutes

3 readingsTotal 30 minutes

Practice Project: Extracting Data from an SVG File10 minutes
Project Description: Creating Line Plots of GDP Data10 minutes
OwlTest: Automated Feedback and Assessment10 minutes

2 app itemsTotal 120 minutes

Project Submission History60 minutes
Project: Creating Line Plots of GDP Data60 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 videosTotal 36 minutes

Python Sets7 minutes
Analyzing the Efficiency of Your Code9 minutes
Comparing Two Methods for Joining CSV Files10 minutes
Project 2 Video10 minutes

3 readingsTotal 30 minutes

Hashing10 minutes
Practice Project: Reconciling Cancer-Risk Data with the USA Map10 minutes
Project Description: Plotting GDP Data on a World Map - Part 110 minutes

1 app itemTotal 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 videosTotal 21 minutes

Growing as a Scripter9 minutes
Project 3 Video10 minutes
Wrapup Video3 minutes

3 readingsTotal 30 minutes

Version Control10 minutes
Practice Project: Visualizing Cancer-risk Data on the USA Map10 minutes
Project Description: Plotting GDP Data on a World Map - Part 210 minutes

1 app itemTotal 60 minutes

Project: Plotting GDP Data on World Map (Part 2)60 minutes

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Instructors

Instructor ratings

(64 ratings)

Scott Rixner

Rice University

11 Courses420,659 learners

Offered by

Rice University

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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

Reviewed on Jan 5, 2018

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

Reviewed on Aug 14, 2020

Very intresting course thanks to teachers and thanks to coursera

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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.