Data Analytics and Visualization

This course offers a comprehensive introduction to data analytics and visualization, focusing on techniques for extracting meaningful insights from data and presenting them effectively. Students will learn how to collect, clean, and analyze data using various tools and methods, including descriptive statistics, exploratory data analysis, and advanced analytics techniques. The course emphasizes visual storytelling through data visualization tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn. Students will also explore best practices for designing clear, impactful visualizations that effectively communicate data-driven insights to different audiences. By the end of the course, students will be adept at transforming complex datasets into compelling visual narratives, enabling data-driven decision-making. Prior experience with basic data analysis and statistics is recommended.