A **Data Analytics course** focuses on teaching students how to collect, process, and analyze data to make informed decisions. It combines concepts from statistics, computer science, and business intelligence to extract meaningful insights from raw data. Students learn essential tools and technologies such as Excel, SQL, Python, R, Tableau, and Power BI. The course covers data visualization, predictive modeling, machine learning basics, and data-driven decision-making. It helps learners understand data patterns, trends, and correlations that support strategic planning. Data Analytics courses are ideal for those interested in careers as data analysts, business analysts, or data scientists. By the end of the program, students gain practical skills in handling large datasets and transforming them into actionable insights for organizations, helping improve performance, identify opportunities, and solve real-world problems effectively.

• Data Handling and Processing
• Statistical and Analytical Skills
• Tools and Technologies
• Practical Applications
• Career Opportunities