Data Analysis and Plotting with Python

Raw data only tells part of the story until you know how to summarize and visualize it. Whether you are analyzing student grades, sales figures, or web traffic, understanding how to group, count, and plot your data is an essential modern skill. This text-based course guides you from foundational data concepts to practical, real-world analysis without requiring prior programming experience. You will start by mastering core terminology, understanding data types, and setting up a clean Python virtual environment. From there, you will transition into writing clean, readable code to inspect and manipulate datasets. What you will learn: Understand fundamental data analysis concepts and key statistical terminology; Set up a modern Python virtual environment and manage packages with pip; Group and aggregate data to calculate distributions, frequencies, and counts; Generate clear, readable plots and charts directly from your datasets; Apply modern Python type hints to write maintainable, self-documenting code. We begin with the absolute basics of data structures and statistical distributions before moving step-by-step through practical data manipulation and visualization workflows. This course is designed specifically for beginners with no prior coding or data science background. Start reading today to unlock the stories hidden within your data.