Data Analysis

In this course, students learn how to collect, clean, organize, interpret, and present data to support decision-making. The course covers the basics of data types, data collection methods, and data processing techniques. Students learn to use tools like Excel, SQL, Python, and data visualization software such as Tableau or Power BI to work with real-world datasets. Key topics often include statistical analysis, identifying patterns and trends, creating visual reports, and drawing actionable insights from data. The course emphasizes problem-solving, critical thinking, and communication skills, preparing students for roles where data-driven decision-making is essential across industries like business, healthcare, technology, and finance.

What you’ll learn

• Understanding Data
• Data Cleaning and Preparation
• Statistical Fundamentals
• Working with Excel for basic analysis and visualization.
• Learning SQL to retrieve data from databases.
• Using Python (or R) for deeper data analysis and automation.
• Data Visualization
• Analyzing Trends and Patterns
• Report Writing and Presentation
• Real-World Projects