This course is part of the Expressway to Data Science: Python Programming Specialization

Di Wu

Offered By

Associated with the Master of Science in Data Science degree
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Expressway to Data Science: Python Programming SpecializationUniversity of Colorado Boulder

About this Course

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How many times have you decided to learn a programming language but got stuck somewhere along the way, grew frustrated, and gave up? This specialization is designed for learners who have little or no programming experience but want to use Python as a tool to play with data. 
In the second course, Introduction to Python Functions, you are going to learn and use functions predefined in Python and Python packages, you also are able to define functions as well. You will create and use functions to make your programs reusable and adaptive.

Are you ready? Let's go!

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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.

Coursera Labs

Includes hands on learning projects.

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Course 2 of 3 in the

Expressway to Data Science: Python Programming Specialization

Beginner Level

With basic Python knowledge, including I/O, variables, operations, flow controls, etc.

Approx. 20 hours to complete

English

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What you will learn

By successfully completing this course, you will be able to use functions predefined in Python and in Python packages.
You will also be able to define Python functions.

Skills you will gain

Data Science
Functions
Python Programming
Software Engineering
Computer Programming

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.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 2 of 3 in the

Expressway to Data Science: Python Programming Specialization

Beginner Level

With basic Python knowledge, including I/O, variables, operations, flow controls, etc.

Approx. 20 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

5/5 (5 Ratings)

Di Wu

Offered by

University of Colorado Boulder

Start working towards your Master's degree

This course is related to the 100% online Master of Science in Data Science from University of Colorado Boulder. It will provide you with a preview of the topics, materials and instructors so you can decide if the full online degree program is right for you.

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Syllabus - What you will learn from this course

Week1

Week 1

6 hours to complete

Hello, functions!

6 hours to complete

4 videos (Total 50 min), 5 readings, 3 quizzes

Week2

Week 2

6 hours to complete

Functions with Parameters

6 hours to complete

5 videos (Total 39 min), 4 readings, 3 quizzes

Week3

Week 3

4 hours to complete

Functions with Return Values

4 hours to complete

2 videos (Total 35 min), 2 readings, 2 quizzes

Week4

Week 4

6 hours to complete

Functions in Functions

6 hours to complete

4 videos (Total 58 min), 4 readings, 3 quizzes

About the Expressway to Data Science: Python Programming Specialization

How many times have you decided to learn a programming language but got stuck somewhere along the way, grew frustrated, and gave up? This specialization is designed for learners who have little or no programming experience but want to use Python as a tool to play with data.

In the first course, Introduction to Python Fundamentals, you will learn the basic input and output methods in Python, so you can write your first program. You will learn variables, operations, and flow control statements for more advanced programming. In the second course, Introduction to Python Functions, you will create and use functions to make your programs reusable and adaptive. You will also learn how to utilize basic packages. In the third course, Python Packages for Data Science, you will gain familiarity with the packages specifically used for data science, such as Pandas, Numpy, Matplotlib, and Seaborn. In this specialization, you will learn that programming in Python is like building with LEGO: you simply follow instructions, choose the pieces that fit together, and create something fulfilling and unique. Instead of giving up in frustration, you will discover that learning Python can be easy and fun.

Expressway to Data Science: Python Programming

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.
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. 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.

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Introduction to Python Functions

About this Course

What you will learn

Skills you will gain