About this Course
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Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 8 hours to complete

Suggested: This is a four week class with an expected workload of 5-7 hours per week....

English

Subtitles: English

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 8 hours to complete

Suggested: This is a four week class with an expected workload of 5-7 hours per week....

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
1 hour to complete

Week 1

6 videos (Total 38 min), 2 readings, 1 quiz
6 videos
Class Structure3m
Using Python Documentation8m
Writing Documentation9m
Python Built-in Modules5m
Installing Packages in Thonny9m
2 readings
Code Reuse10m
Practice Project: Drawing a USA Map in matplotlib10m
1 practice exercise
Documentation14m
Week
2
3 hours to complete

Week 2

6 videos (Total 43 min), 3 readings, 2 quizzes
6 videos
Importing Your Own Code7m
Line Plots with Pygal6m
Installing Packages using PIP - Part 17m
Installing Packages using PIP - Part 26m
Project 1 Video10m
3 readings
Practice Project: Extracting Data from an SVG File10m
Project Description: Creating Line Plots of GDP Data10m
OwlTest: Automated Feedback and Assessment10m
Week
3
2 hours to complete

Week 3

4 videos (Total 36 min), 3 readings, 1 quiz
4 videos
Analyzing the Efficiency of Your Code8m
Comparing Two Methods for Joining CSV Files9m
Project 2 Video9m
3 readings
Hashing10m
Practice Project: Reconciling Cancer-Risk Data with the USA Map10m
Project Description: Plotting GDP Data on a World Map - Part 110m
Week
4
2 hours to complete

Week 4

3 videos (Total 29 min), 3 readings, 1 quiz
3 videos
Project 3 Video9m
Wrapup Video10m
3 readings
Version Control10m
Practice Project: Visualizing Cancer-risk Data on the USA Map10m
Project Description: Plotting GDP Data on a World Map - Part 210m
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Top reviews from Python Data Visualization

By SSMar 11th 2019

I went though all of the Specialization program and I totally recommend it. Awesome courses, the 4 of them, challenging projects and great material and classes from both Scott and Joe.

By FGDec 9th 2018

Great introduction to Python visualizations. The assignments are challenging but relevant and echo real world problems you might encounter.

Instructors

Avatar

Scott Rixner

Professor
Computer Science
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Joe Warren

Professor
Computer Science

About Rice University

Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy....

About the Introduction to Scripting in Python Specialization

This specialization is intended for beginners who would like to master essential programming skills. Through four courses, you will cover key programming concepts in Python 3 which will prepare you to use Python to perform common scripting tasks. This knowledge will provide a solid foundation towards a career in data science, software engineering, or other disciplines involving programming....
Introduction to Scripting in Python

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.