Data Analytics

A Data Analytics course provides comprehensive training in extracting valuable insights from data to support decision-making processes. The curriculum covers essential skills such as data cleaning, exploration, statistical analysis, and data visualization using tools like Excel, SQL, Python, R, and Tableau. Students learn to apply techniques such as regression analysis, hypothesis testing, and predictive modeling to analyze trends and patterns. The course also covers topics like big data, data mining, and machine learning basics. Through hands-on projects and real-world case studies, learners gain practical experience in analyzing complex datasets, making this course ideal for roles such as data analyst, business analyst, or data scientist.