Python Data Analysis Basics: Practical Skills for Non-Majors

Step into the world of data science without needing a computer science degree. This text-based course is designed specifically for non-majors who want to build practical skills in data analysis and machine learning using Python. By reading through clear explanations and working through practical text-based exercises, you will transition from a complete beginner to a confident data explorer. You will learn how to write clean Python code, clean messy datasets, and apply introductory machine learning models to solve real-world problems. What you'll learn: - Understand foundational Python syntax, variables, and control flow structures. - Analyze and clean real-world datasets using modern data libraries like pandas. - Create clear data visualizations to communicate key insights effectively. - Apply basic machine learning concepts and train your first predictive models. - Practice writing clean, readable code with modern Python best practices. - Solve practical data problems through guided written exercises. The course begins with essential programming concepts and key data terminology before moving on to hands-on data manipulation and introductory machine learning workflows. You will follow a structured, logical pathway designed to build confidence step-by-step. This course is perfect for beginners, non-programmers, and professionals from non-technical backgrounds with no prior coding experience required. Start your data journey today and unlock the power of Python.