Python Basics for Data Science in Google Colab (Beginner’s )

Are you new to Python and looking for an easy, practical way to begin your data science journey? This beginner-friendly course will guide you step by step through the essentials of Python programming using Google Colab — a free, cloud-based coding platform that runs entirely in your browser. No installation required, so you can start learning instantly, even if you’ve never written code before.

Designed for students, public health researchers, social science professionals, and data enthusiasts, this course focuses on hands-on learning. You won’t just read about Python — you’ll practice by writing and running code with interactive examples and real datasets.

We’ll start with the basics: variables, numbers, strings, lists, and dictionaries. You’ll also explore arithmetic and logical operators, conditional statements, and loops to understand Python’s simple and intuitive syntax. Step by step, we’ll move into data-related tasks like reading CSV files, exploring datasets, handling missing values, and applying conditions for cleaning and analysis.

Along the way, you’ll discover how Google Colab makes coding easier with features like real-time execution, automatic code completion, and seamless integration with Google Drive.

By the end of this course, you’ll have a strong foundation in Python for data analysis and be ready to take on more advanced Python and data science topics. Please note: this is an introductory course and does not cover every aspect of Python programming — it’s designed to give you a solid starting point to build from.

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