Data Analytics

A Data Analytics course provides the essential skills and tools required to analyze and interpret complex data to drive business decisions. The curriculum covers key concepts such as data cleaning, statistical analysis, data visualization, and predictive modeling. Students learn how to work with popular tools and programming languages like Excel, SQL, Python, R, and Tableau to manipulate and visualize data. The course also explores techniques such as regression analysis, hypothesis testing, and machine learning fundamentals. Through hands-on projects and case studies, learners gain practical experience in analyzing real-world datasets, making this course ideal for aspiring data analysts, business analysts, or data scientists.