Python is a beginner-friendly programming language that is widely used for data analysis, automation, and reporting. In this topic, you will set up everything you need to start working with Python smoothly and build the right habits from day one. You will learn what Python is, where it is used in data analysis, and how you will use it throughout this course.
You will begin by installing Python in a simple and reliable way. You will also set up a working environment such as Anaconda and Jupyter Notebook (or any other notebook tool used in your course). Then you will learn how to run your first Python commands, create a notebook, write code in cells, and see outputs clearly. This part builds confidence because it helps you understand how Python “responds” to what you write.
You will also learn basic ideas that every beginner needs: what variables are, how to store information, and how to print results. You will practise running small examples so you become comfortable with writing and correcting code. You will also learn how to save your work properly and how to organise files and folders so your datasets and notebooks stay clean and easy to find.
By the end of this topic, you will be fully set up to start coding and ready to move into Python fundamentals for data analysis.
