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.
Introduction to Python Functions
This course is part of Expressway to Data Science: Python Programming Specialization
Instructor: Di Wu
3,662 already enrolled
Included with
(49 reviews)
Recommended experience
What you'll 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.
Details to know
Add to your LinkedIn profile
15 assignments
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 4 modules in this course
Welcome on board! This first module shows the reasons why we need functions and introduces basic function definitions. You are going to recall some functions we have learned before, and you are going to define some simple functions of your own! Are you ready? Let's go!
What's included
4 videos5 readings4 assignments
Now you should be comfortable with simple functions. This module introduces you more about functions with parameters, which are the majority ones you are going to call when you do your data science projects. Are you ready? Let's go!
What's included
5 videos4 readings4 assignments
For data science projects, not only we need to execute some functions, but also we expect some results from the execution so we can use the results for next step. This module introduces you the functions with return values. Are you ready? Let's go!
What's included
2 videos2 readings3 assignments
With the knowledge you have learned about simple functions, functions with parameters, and functions with return values, you should be able to learn nested functions. This module introduces you the general idea of nested functions, as well as two specific categories of them: hierarchical functions and recursive functions. Are you ready? Let's go!
What's included
4 videos4 readings4 assignments
Instructor
Offered by
Recommended if you're interested in Data Analysis
University of Michigan
Northeastern University
Coursera Project Network
Prepare for a degree
Taking this course by University of Colorado Boulder may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.
Why people choose Coursera for their career
Learner reviews
49 reviews
- 5 stars
87.75%
- 4 stars
8.16%
- 3 stars
2.04%
- 2 stars
0%
- 1 star
2.04%
Showing 3 of 49
Reviewed on Jun 25, 2023
some concepts could be explained more thoroughly, and i am confused why we haven't learned about lists in the first or second section.
Reviewed on Mar 23, 2023
Excellent course from Mr. Di Wu. I am marching on to course 3 with excitement more than I started in the first course with Mr. Di Wu.
Reviewed on Jun 20, 2023
Excellent. I wish they could provide a book/reading materials.
New to Data Analysis? Start here.
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
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.