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

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1,066 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 course will continue the introduction to Python programming that started with Python Programming Essentials.  We'll learn about different data representations, including strings, lists, and tuples, that form the core of all Python programs.  We will also teach you how to access files, which will allow you to store and retrieve data within your programs. These concepts and skills will help you to manipulate data and write more complex Python programs.
By the end of the course, you will be able to write Python programs that can manipulate data stored in files.  This will extend your Python programming expertise, enabling you to write a wide range of scripts using Python

This course uses Python 3.  While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course introduces basic desktop Python development environments, allowing you to run Python programs directly on your computer. This choice enables a smooth transition from online development environments.

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 2 of 4 in the

Introduction to Scripting in Python Specialization

Beginner Level

Approx. 9 hours to complete

English

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

Skills you will gain

Tuple
Python Programming
Debugging
List & Label

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 2 of 4 in the

Introduction to Scripting in Python Specialization

Beginner Level

Approx. 9 hours to complete

English

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

Instructors

Instructor rating

4.76/5 (104 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

Content Rating96%(2,252 ratings)

Week

Week 1

2 hours to complete

Strings

This module will teach you about Python's string data type and its capabilities. Strings are used to represent text within programs.

2 hours to complete

7 videos (Total 45 min), 2 readings, 1 quiz

Week

Week 2

2 hours to complete

Basics of Lists

This module will teach you the basics of Python's list data type. Lists are used to hold a sequence of data within programs.

2 hours to complete

7 videos (Total 56 min), 4 readings, 1 quiz

Week

Week 3

2 hours to complete

List Manipulation

This module will dive further into the use of lists. You will learn how about mutating the contents of a list and the implications of doing so.

2 hours to complete

5 videos (Total 37 min), 3 readings, 1 quiz

Week

Week 4

4 hours to complete

File Access

This module will teach you how to access files in Python.

4 hours to complete

5 videos (Total 41 min), 5 readings, 2 quizzes

Reviews

4.7

181 reviews

5 stars
78.91%
4 stars
17.35%
3 stars
2.42%
2 stars
0.55%
1 star
0.74%

TOP REVIEWS FROM PYTHON DATA REPRESENTATIONS

by DMApr 29, 2020

well the instructors were as always awesome, but i have always felt that what i am taught and what i give for a project are quite different, i just feel so

by DPSep 4, 2019

This course was great. I would like to thank instructors and the Coursera Team to provide me the opportunity to learn this course

by PBApr 3, 2018

The project is very interesting. It took me 3 hours to finish but it is worth it. Thank you very much Prof Joe and Prof Scott

by BBFeb 25, 2020

Excelenta balance de formación y tiempo necesario para estudiarlo. muchas veces el trabajo no permite dedicarse a tiempo completo para aprender.

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 Representations

About this Course

Skills you will gain