Course Overview
This course provides a comprehensive introduction to the fundamentals of data science and Python programming, perfect for beginners or those looking to solidify their understanding of the basics. Starting with the foundational concepts and essential tools, students will learn about the data science workflow and problem-solving strategies. The course then delves into Python programming, covering data types, control structures, and crucial libraries like NumPy and Pandas for data manipulation. It rounds off with practical skills in data visualization using tools such as Matplotlib, Seaborn, and Plotly to create interactive, compelling data stories. This course equips learners with the necessary skills to perform basic data analysis and visualization tasks, setting a solid groundwork for more advanced data science studies.
Requirements
- Laptop/desktop with at least 8 GB of RAM (16 GB recommended)