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Coursera

Python 101: Introduction to Python

via Coursera

Overview

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.
  • Course Assessment
    • Final graded assessment

Taught by

Dartanion Williams

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