Introduction to Data Science with Python

This introductory course provides a comprehensive foundation in data science using Python programming language. Data science focuses on extracting knowledge from diverse datasets using techniques from statistics, data mining, and machine learning. Throughout the four-week curriculum, students will learn how Python's extensive libraries and supportive community make it an ideal tool for data science applications. The course begins with fundamental Python concepts, including variable types, control structures, functions, and data structures. Students then progress to data collection and preparation using Pandas for dataframe management, time series analysis, and web scraping techniques to gather information from internet sources. The third week focuses on data visualization with Matplotlib, enabling students to create effective graphics that communicate findings in an accessible manner. In the final week, students explore database management and receive an introduction to SQL for database operations. By course completion, participants will understand the importance of proper data collection, preparation, visualization, and management while gaining practical Python programming skills applicable to real-world data challenges. This course serves as an excellent entry point for those interested in pursuing data science careers or applying data analysis techniques in their current professional roles.