Python for Data Science: From Zero to Data Analysis

Welcome to "Python Foundations for Data Science". This course is your gateway to mastering Python for data analysis, whether you're just getting started or looking to expand your skills. We begin with the basics, ensuring you build a solid foundation, then gradually move into data science applications.

I'd like to stress that we do not assume a programming background and no background in Python is required. What You'll Learn:Python Foundations: Grasp the essentials of Python, including data types, strings, slicing, f-strings, and more, laying a solid base for data manipulation. Control and Conditional Statements: Master decision-making in Python using if-else statements and logical operators.

Loops: Automate repetitive tasks with for and while loops, enhancing your coding efficiency. Capstone Project - Turtle Graphics: Apply your foundational knowledge in a fun, creative project using Python's turtle graphics. Functions: Build reusable code with functions, understanding arguments, return values, and scope.

Lists: Manage and manipulate collections of data with Python lists, including list comprehension. Equality vs. Identity: Dive deep into how Python handles data with topics like shallow vs.