About this Course

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Learner Career Outcomes

50%

started a new career after completing these courses

44%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
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
English
Subtitles: English, Vietnamese

Skills you will gain

TuplePython ProgrammingDebuggingList & Label

Learner Career Outcomes

50%

started a new career after completing these courses

44%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
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
English
Subtitles: English, Vietnamese

Offered by

Rice University logo

Rice University

Syllabus - What you will learn from this course

Content RatingThumbs Up96%(1,827 ratings)Info
Week
1

Week 1

1 hour to complete

Strings

1 hour to complete
7 videos (Total 45 min), 2 readings, 1 quiz
7 videos
Class Structure4m
Python Strings7m
Indexing Strings6m
Searching Strings8m
Slicing Strings6m
Answering Common Python Questions8m
2 readings
Formatting Strings10m
Practice Exercises for Strings10m
1 practice exercise
Strings14m
Week
2

Week 2

2 hours to complete

Basics of Lists

2 hours to complete
7 videos (Total 56 min), 4 readings, 1 quiz
7 videos
List Indexing and Slicing8m
Splitting and Joining Strings7m
List Searching5m
Iteration over Lists10m
Using Thonny's Debugger8m
Debugging an Example Program8m
4 readings
Defining and Accessing Lists10m
Iteration10m
Using Thonny10m
Practice Exercises for Lists10m
1 practice exercise
Lists14m
Week
3

Week 3

1 hour to complete

List Manipulation

1 hour to complete
5 videos (Total 37 min), 3 readings, 1 quiz
5 videos
Tuples8m
Objects and References6m
Understanding List References8m
Diagnosing List Reference Issues8m
3 readings
List Processing Example10m
Visualizing Objects and References10m
Practice Exercises for List Manipulation10m
1 practice exercise
List Manipulation14m
Week
4

Week 4

4 hours to complete

File Access

4 hours to complete
5 videos (Total 41 min), 5 readings, 2 quizzes
5 videos
Reading Files using Iteration4m
Writing Files5m
Working with File Paths9m
Project Video14m
5 readings
Introduction to Files10m
Understanding File Systems and Paths10m
Practice Project: Updating the CodeSkulptor Docs10m
Project Description: File Differences10m
OwlTest: Automated Feedback and Assessment10m

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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

  • 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.
  • 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.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

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