This course is part of the Introduction to Scripting in Python Specialization

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515 ratings

Scott Rixner +1 more instructor

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Offered By

Introduction to Scripting in Python SpecializationRice University

About this Course

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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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

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Start instantly and learn at your own schedule.

Course 4 of 4 in the

Introduction to Scripting in Python Specialization

Beginner Level

Approx. 9 hours to complete

English

Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, German, Russian, English, Spanish

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 4 of 4 in the

Introduction to Scripting in Python Specialization

Beginner Level

Approx. 9 hours to complete

English

Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, German, Russian, English, Spanish

Instructors

Instructor rating

4.53/5 (57 Ratings)

Scott Rixner

Joe Warren

Offered by

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.

Syllabus - What you will learn from this course

Week

Week 1

1 hour to complete

Week 1

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.

1 hour to complete

6 videos (Total 38 min), 2 readings, 1 quiz

Week

Week 2

3 hours to complete

Week 2

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.

3 hours to complete

6 videos (Total 43 min), 3 readings, 2 quizzes

Week

Week 3

2 hours to complete

Week 3

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

2 hours to complete

4 videos (Total 36 min), 3 readings, 1 quiz

Week

Week 4

2 hours to complete

Week 4

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.

2 hours to complete

3 videos (Total 29 min), 3 readings, 1 quiz

Reviews

4.7

81 reviews

5 stars
77.92%
4 stars
13.81%
3 stars
4.79%
2 stars
1.91%
1 star
1.53%

TOP REVIEWS FROM PYTHON DATA VISUALIZATION

by VHApr 19, 2020

It is more about python basics, nor data visualization exactly

by MHApr 23, 2018

At times a bit tough if you want to fully understand all parts of the "basics", but highly worth it

by SXJul 19, 2018

The instructors are great, however, the library pygal is outdated, it does not support the newest versions of python.

by SRMar 10, 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.

View all reviews

About the Introduction to Scripting in Python Specialization

Developed by Rice University's world-class Computer Science & Data Science faculty, this specialization is intended for beginners who would like to master essential programming skills.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. 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.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
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.

More questions? Visit the Learner Help Center.

Python Data Visualization

About this Course