Data Analytics

A Data Analytics course provides foundational and advanced knowledge on how to collect, process, and analyze data to derive actionable insights. The curriculum covers key areas such as statistical analysis, data cleaning, data visualization, and machine learning techniques. Students learn to work with tools and programming languages like Excel, Python, R, SQL, and Tableau to manipulate data, perform exploratory analysis, and create meaningful visualizations. The course emphasizes real-world applications in business, finance, healthcare, and marketing. Through hands-on projects and case studies, learners develop the skills needed to solve data-driven problems and make informed decisions. Ideal for beginners and professionals, the course prepares students for roles like data analyst, business intelligence analyst, and data scientist.