About this Course

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Learner Career Outcomes

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started a new career after completing these courses

60%

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. 9 hours to complete

English

Subtitles: English

Learner Career Outcomes

67%

started a new career after completing these courses

60%

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. 9 hours to complete

English

Subtitles: English

Offered by

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Rice University

Syllabus - What you will learn from this course

Content RatingThumbs Up96%(1,313 ratings)Info
Week
1

Week 1

1 hour to complete

Dictionaries

1 hour to complete
7 videos (Total 45 min), 2 readings, 1 quiz
7 videos
Class Structure4m
Python Dictionaries5m
Defining a Dictionary6m
Dictionary Lookup and Update8m
Checking Keys8m
Handling Dictionary Errors8m
2 readings
Dictionaries - Example10m
Practice Exercises for Dictionaries10m
1 practice exercise
Dictionaries14m
Week
2

Week 2

1 hour to complete

Tabular Data and Nested Data Structures

1 hour to complete
4 videos (Total 32 min), 2 readings, 1 quiz
4 videos
Tabular Data as a Nested List10m
Tabular Data as a Nested Dictionary9m
Displaying Dictionaries5m
2 readings
Tabular Data10m
Practice Exercises for Nested Data Structures10m
1 practice exercise
Nested Representations for Tabular Data14m
Week
3

Week 3

4 hours to complete

Tabular Data and CSV Files

4 hours to complete
8 videos (Total 66 min), 4 readings, 2 quizzes
8 videos
Parsing CSV Files6m
Python's CSV Module7m
CSV DictReader10m
CSV Reader Options9m
Experimenting with CSV Methods - Part 18m
Experimenting with CSV Methods - Part 27m
Project Video for Part 19m
4 readings
CSV Files10m
Practice Project: Loading Cancer-Risk Data10m
Project Description: Reading and Writing CSV Files10m
OwlTest: Automated Feedback and Assessment10m
Week
4

Week 4

2 hours to complete

Organizing Data

2 hours to complete
6 videos (Total 53 min), 3 readings, 1 quiz
6 videos
Lambda9m
Advanced Sorting5m
Refactoring Your Code - Part 17m
Refactoring Your Code - Part 27m
Project Video for Part 215m
3 readings
Dictionaries vs. Lists for storing data10m
Practice Project: Processing Cancer-Risk Data10m
Project Description: Analyzing Baseball Data10m

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.

  • 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.

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