This course will introduce you to the wonderful world of Python programming! We'll learn about the essential elements of programming and how to construct basic Python programs. We will cover expressions, variables, functions, logic, and conditionals, which are foundational concepts in computer programming. We will also teach you how to use Python modules, which enable you to benefit from the vast array of functionality that is already a part of the Python language. These concepts and skills will help you to begin to think like a computer programmer and to understand how to go about writing Python programs.
This course is part of the Introduction to Scripting in Python Specialization
Offered By
Introduction to Scripting in Python SpecializationRice UniversityAbout this Course
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Learner Career Outcomes
34%
started a new career after completing these courses
32%
got a tangible career benefit from this course
19%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 1 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 9 hours to complete
English
Subtitles: English, Korean, Vietnamese, Chinese (Simplified)
Skills you will gain
CodeskulptorPython Syntax And SemanticsPython ProgrammingDebugging
Learner Career Outcomes
34%
started a new career after completing these courses
32%
got a tangible career benefit from this course
19%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 1 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 9 hours to complete
English
Subtitles: English, Korean, Vietnamese, Chinese (Simplified)
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
2 hours to complete
Python as a Calculator
This module will expose you to Python so that you can run your first simple programs. You will use Python to compute the results of arithmetic expressions, as you would when using a calculator.
2 hours to complete
9 videos (Total 62 min), 4 readings, 1 quiz
9 videos
Welcome!5m
Course Overview3m
Hello, world!3m
Python Development Environments9m
Numbers6m
Simple Expressions7m
Compound Expressions7m
Variables and Assignment8m
Handling Errors in Python10m
4 readings
Using CodeSkulptor310m
A Short Guide to Common Errors in Python10m
Practice Exercise for Expressions10m
Practice Exercises for Variables and Assignments10m
1 practice exercise
Basic Python Syntax14m
1 hour to complete
Functions
This module will teach you how to define and call functions. Functions allow you to write code once that you can execute repeatedly with different inputs.
1 hour to complete
6 videos (Total 46 min), 2 readings, 1 quiz
6 videos
Calling Functions6m
Defining Functions11m
Local Variables4m
Understanding Function Evaluation8m
Using Print and Return in Functions6m
2 readings
Functions10m
Practice Exercises for Functions10m
1 practice exercise
Functions14m
2 hours to complete
Logic and Conditionals
This module will teach you how to use logic and conditionals to change the behavior of the program based upon values within the program.
2 hours to complete
7 videos (Total 54 min), 3 readings, 1 quiz
7 videos
Logical Expressions4m
Comparisons6m
Conditionals8m
More Conditionals9m
Using Python Documentation9m
Following Coding Standards9m
3 readings
Conditionals in Python10m
Coding Standards and Style10m
Practice Exercises for Logic and Conditionals10m
1 practice exercise
Logic and Conditionals14m
4 hours to complete
Python Modules
This module will introduce you to the concept of modules. Python modules allow code to be divided up into different files and reused in different programs. Python provides many modules that you can use within your programs.
4 hours to complete
6 videos (Total 57 min), 6 readings, 2 quizzes
6 videos
The Datetime Module6m
Coding the Practice Project - Part 19m
Coding the Practice Project - Part 29m
RPSLS Video11m
Project Video13m
6 readings
Python Modules10m
Datetime Module Quick Reference10m
Practice Project: Rock-Paper-Scissors-Lizard-Spock10m
Tips for RPSLS10m
Project Description: Working with Dates10m
OwlTest: Automated Feedback and Assessment10m
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.
Frequently Asked Questions
When will I have access to the lectures and assignments?
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.
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.
What is the refund policy?
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.
Is financial aid available?
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.
More questions? Visit the Learner Help Center.
