Python is one of the most popular programming languages for data analysis—and it’s easier to learn than you might think. Whether you’re coming from Excel, BI tools, finance, or another programming background, this course will help you build a strong foundation in Python for working with data. You’ll start by setting up your environment with Anaconda and Jupyter Notebooks, then learn the core building blocks of Python: variables, data types, and data structures. From there, you’ll explore how to manipulate and analyze data using operators and functions, and write more advanced logic with conditionals and loops. By the end of the course, you’ll be confident writing basic Python code to structure and prepare data for analysis.

You will also gain practical experience working with real-world datasets and common data analysis workflows. This includes cleaning, transforming, and organizing data so it can be used for meaningful insights. You’ll develop the ability to think like a data analyst, breaking problems into logical steps and applying Python to solve them efficiently.