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⇱ Python 101: Introduction to Python | Coursera


Python 101: Introduction to Python

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Python 101: Introduction to Python

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • How to set up a Python development environment and write Python programs using variables, data types, conditional logic, and loops

  • How to use Python data structures including lists, tuples, sets, and dictionaries to store and manipulate data

  • How to write Python functions and use the Pandas library to load, clean, transform, and process real-world datasets

Details to know

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Recently updated!

May 2026

Assessments

5 assignments

Taught in English

There are 5 modules in this course

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.

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.

What's included

3 videos3 readings1 assignment

3 videosTotal 11 minutes
  • Introduction1 minute
  • Introduction to Python and Programming7 minutes
  • Setting Up Python3 minutes
3 readingsTotal 22 minutes
  • How to Install Python and Create a Virtual Environment Document Virtual Enviroment Document Chapter 1 Document Chapter 2 Document Chapter 3 Document Chapter 3 Account Balancing Document Python Glossary PDF5 minutes
  • Python Glossary2 minutes
  • Optional Lab Assignment File15 minutes
1 assignmentTotal 10 minutes
  • Welcome to Python10 minutes

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.

What's included

2 videos1 reading1 assignment

2 videosTotal 24 minutes
  • Getting Started with Programming12 minutes
  • Conditional Logic in Python12 minutes
1 readingTotal 10 minutes
  • Optional Lab Assignment File10 minutes
1 assignmentTotal 10 minutes
  • Python Foundations10 minutes

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.

What's included

4 videos1 reading1 assignment

4 videosTotal 128 minutes
  • Python Loops34 minutes
  • Introduction to Python Data Structures28 minutes
  • Python Dictionaries40 minutes
  • Advanced Concepts with Data Structures26 minutes
1 readingTotal 15 minutes
  • Optional Lab Assignment File15 minutes
1 assignmentTotal 15 minutes
  • Introduction to Programming15 minutes

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.

What's included

4 videos1 assignment

4 videosTotal 284 minutes
  • Python Functions40 minutes
  • Introduction to Pandas72 minutes
  • Working with Dataframes92 minutes
  • Data Processing with Pandas79 minutes
1 assignmentTotal 15 minutes
  • Data Processing with Python15 minutes

Final graded assessment

What's included

1 assignment

1 assignmentTotal 30 minutes
  • Course Assessment30 minutes

Instructor

Total Seminars
1 Course55 learners

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