Beginner Data Science with Python

Why should you attend?

This course is designed to introduce beginners to the world of data science using Python, a powerful and versatile programming language highly regarded for its simplicity and readability. Participants will start by understanding the importance of Python in data science and get acquainted with basic program structure and execution steps. Learners will familiarize themselves with interactive shells, script files, and integrated development environments (IDEs) that streamline coding tasks. As the course progresses, students will delve into Python's efficient memory management system and learn about garbage collection, object creation, deletion, and properties. Data types are the building blocks of any programming language; hence, this course provides an extensive overview of Python's data types including numbers, strings, lists, tuples, dictionaries, sets, other core types, and how to convert between them. The curriculum also covers essential programming concepts such as assignments, expressions, control flow statements like if tests and loops (while & for), along with their syntax rules. File operations in Python are crucial for data handling; thus participants will learn how to work with files effectively. Furthermore, the course introduces functions—defining them, calling them, understanding scope and arguments—as well as function objects which are central to writing reusable code. Finally, the course ventures into object-oriented programming (OOP) with classes and objects before exploring Python Pandas for data manipulation and introducing basic machine learning algorithms. This comprehensive beginner's journey ensures a solid foundation in Python for aspiring data scientists.