Getting Started with Python

Getting Started with Python Course Overview

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.

Getting Started with Python Learning Objectives

By the end of this course you will be able to:

• Install Anaconda Navigator and generate a Jupyter Notebook
• Create and define variables and data types
• Identify common types of data structures and explain the differences between them
• Compare and analyze data with operators and functions
• Build more complex logic with conditional statements and for loops

Who Should Take This Course?

This course is designed for beginners who want to use Python for data analysis—whether you’re transitioning from Excel, BI tools, finance, or another field. It’s ideal for aspiring data analysts, business intelligence professionals, and anyone looking to add Python to their analytics skillset.