University of Colorado Boulder
BiteSize Python for Absolute Beginners: Essentials

New year. Big goals. Bigger savings. Unlock a year of unlimited access to learning with Coursera Plus for $199. Save now.

University of Colorado Boulder

BiteSize Python for Absolute Beginners: Essentials

Di Wu

Instructor: Di Wu

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
13 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
13 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Use Python programming fundamentals, including variables, data types, and basic input/output functions

  • Perform arithmetic, relational, and logical operations, and manipulate strings

  • Analyze and create Python programs to solve real-world problems

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

December 2024

Assessments

6 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Placeholder

Build your subject-matter expertise

This course is part of the BiteSize Python for Absolute Beginners Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • 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
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 6 modules in this course

This module introduces the basics of Python, highlighting why it is a popular programming language and how to start learning it. It covers the differences between script and interactive Python, explains why iPython is preferred, and introduces Jupyter Notebooks as a powerful tool for coding. Additionally, it explores the distinctions between local and cloud-based coding environments, including the specific setup used in Coursera labs.

What's included

11 readings1 assignment

This module explores the basics of input and output in Python. Starting with the classic "Hello, World!" example using the print() function, it explains the differences between single, double, and triple quotation marks in Python. The module also covers how to print multiple values simultaneously and introduces the input() function to receive user inputs. Learners will see how to combine input() and print() to create simple interactive programs.

What's included

1 reading1 assignment6 ungraded labs

This module introduces variables in Python, including how to define them and the rules for naming them correctly according to syntax and conventions. It covers the fundamental data types—integers (int), floating-point numbers (float), and strings (str)—and explains how to convert between these types using Python’s built-in conversion functions.

What's included

5 readings2 assignments2 ungraded labs

This module focuses on the different types of operations in Python, including assignment, arithmetic, relational, and logical operations. It explains how to use these operations to manipulate data and make comparisons within Python programs, providing a foundational understanding of how data is processed and evaluated.

What's included

1 reading1 assignment4 ungraded labs

This module delves into the str data type in Python, covering everything from the basics of what a string is to how to create, access, and manipulate strings. It includes techniques for slicing, concatenating, and formatting strings, as well as an overview of common string methods that simplify text processing tasks.

What's included

2 readings1 assignment6 ungraded labs

This module applies essential Python concepts through practical case studies, demonstrating how to solve real-life problems using the skills learned in previous modules. The case studies include a checkout system for calculating total costs, a tip-splitting application to fairly divide tips among diners, and a compound interest calculator for financial planning.

What's included

1 reading3 ungraded labs

Instructor

Di Wu
University of Colorado Boulder
18 Courses41,145 learners

Offered by

Recommended if you're interested in Data Analysis

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

New to Data Analysis? Start here.

Placeholder

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