Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Python 101: Introduction to Python

via Coursera

Go to class Write review

Details

Go to class

Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

5 weeks, 2 hours a week
Sessions

Self-Paced
Level

Beginner
Subtitles

English

Found in

Overview

Google, IBM & Meta Certificates – 40% Off

One plan covers every Professional Certificate on Coursera.

Unlock All Certificates

This course introduces the Python programming language to absolute beginners through energetic, hands-on instruction that makes coding fun and approachable. Organized across four modules; Welcome to Python, Python Foundations, Introduction to Programming, and Data Processing with Python. The course builds programming foundations through real-world applications using Python's most useful libraries. Learners benefit by gaining practical programming skills that are immediately applicable in data analysis, automation, and software development roles. From setting up a Python environment and writing first programs to working with data structures, writing functions, and processing data with Pandas, this course provides a complete introduction to Python's capabilities. By the end of this course, learners will be able to write Python programs that use variables, conditionals, loops, functions, and Pandas DataFrames to solve real-world data processing problems.

Syllabus

Welcome to Python

In this chapter, you explore how Python is used to solve real-world problems, learn to install and run it effectively, build a foundation in its core syntax and data types, and create your first programs using control flow, regular expressions, and essential development tools.

Python Foundations

In this chapter, you explore how Python is used to solve real-world problems, learn to install and run it effectively, build a foundation in its core syntax and data types, and create your first programs using control flow, regular expressions, and essential development tools.

Introduction to Programming

In this chapter, you build on your Python foundation by mastering loops, core data structures like lists, tuples, sets, and dictionaries, and advanced techniques such as nested collections and list comprehensions to create more dynamic, efficient, and real‑world‑ready programs.

Data Processing with Python

In this chapter, you learn how Python functions, pandas data analysis tools, DataFrames, and user‑input validation work together to create flexible, efficient, and user‑friendly programs for real‑world applications.