Overview

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock the potential of Python in data analysis and automation with this comprehensive course. Designed to cater to beginners, it guides you through Python essentials, offering hands-on experience for real-world applications. You'll gain the skills needed to automate repetitive tasks and analyze data efficiently, setting you apart in today's tech-driven workplace. The course begins with an introduction to Python's significance, covering its comparison with other programming languages and practical applications. Progress through foundational topics such as data types, variables, functions, and debugging to build a strong base. Exercises and examples ensure a thorough understanding of key concepts. In the latter sections, delve into advanced data handling, Python modules, and the installation process. Apply your knowledge in an engaging project to automate data updates in spreadsheets, tackling tasks like file management, transaction validation, and script optimization. This hands-on project equips you with skills you can use immediately in a professional setting. Perfect for beginners, this course requires no prior coding experience. Whether you're entering the tech field or looking to enhance your automation skills, this course empowers you to master Python for impactful results.

Syllabus

Python: The Workplace Tech Divide

In this module, we will explore the existing tech divide in workplaces and how Python serves as a bridge to unify tech-savvy individuals and newcomers. You’ll also learn why Python is a beginner-friendly language and gain an overview of the course structure to guide your learning journey.

Introduction to Python

In this module, we will dive into the fundamentals of Python, covering its significance, comparisons with other languages, and its real-world applications. You’ll also learn how to set up and practice Python in the most accessible environments.

Basic Data Types

In this module, we will focus on Python's basic data types, including strings, integers, floats, and Booleans. Through hands-on demonstrations and exercises, you’ll gain proficiency in using these foundational elements to build more complex programs

Python Built-In Functions

In this module, we will introduce Python's built-in functions, exploring their role and ways to access them. You’ll learn to effectively use these functions to perform various tasks and solidify your knowledge through exercises.

Variables and Functions

In this module, we will cover variables and functions, their syntax, and how to store, manipulate, and evaluate data effectively. Additionally, you’ll learn best practices for commenting and refining your code while completing practical exercises.

Errors and Debugging

In this module, we will examine the nature of Python errors and debugging strategies. From understanding stack traces to using try-except blocks, you’ll acquire the tools to troubleshoot effectively and build resilient programs.

Python Keywords

In this module, we will explore Python keywords, their importance, and their usage in various contexts. Through focused examples and exercises, you’ll gain a deeper understanding of these building blocks in Python programming.

If-Else Statements

In this module, we will delve into conditional logic with if-else statements. You’ll learn how to write basic to advanced logic structures, evaluate values, and practice your skills through targeted exercises.

Storing Complex Data

In this module, we will cover advanced data storage techniques using lists and dictionaries. You’ll explore looping methods to manage complex data structures efficiently and practice these skills through exercises.

Python Modules

In this module, we will introduce Python modules and their role in extending functionality. You’ll learn how to leverage built-in modules and import external ones to streamline and enhance your projects.

Installing Python and Modules

In this module, we will guide you through the installation of Python on various platforms, including Mac, Windows, and IDEs. You’ll also learn to manage files, run scripts, and utilize pip to install packages for your projects.

Project: Automating Data Updates in a Spreadsheet

In this module, we will work on a practical project to automate data updates in spreadsheets. You’ll apply your Python knowledge to manipulate Excel and CSV files, validate and transform data, and optimize your script for reliability.

Summary

In this module, we will summarize the course content and outline the future opportunities for expanding your Python skills. You’ll gain insights into advanced topics and practical applications to continue your learning journey.