Data Analysis with Excel

Turn raw data into insights that drive decisions. Excel is not just a spreadsheet tool—it’s one of the most widely used platforms for analyzing data across industries. In this course, you’ll learn how to move beyond simple tables and formulas, and begin using Excel as a true data analysis tool. We start by reviewing the principles of descriptive statistics—mean, median, standard deviation—and how they can be quickly calculated with Excel functions. You’ll then learn to apply sorting, filtering, and conditional logic to identify trends and patterns in data. The course also covers powerful features like PivotTables and PivotCharts, which allow you to summarize large datasets and visualize insights with just a few clicks. In addition, you’ll work with What-If Analysis, Goal Seek, and Scenario Manager, learning how to model different outcomes and support better decision-making. Practical exercises ensure you can apply these tools in real contexts, from business reporting to academic research. By the end of the course, you will be able to: Apply statistical functions to understand and summarize data. Use PivotTables to analyze large datasets effectively. Create PivotCharts and other visualizations to present insights clearly. Perform scenario analysis and test business decisions in Excel. Translate raw data into actionable insights with confidence. Following Hands-on Mentor’s philosophy, this course is highly practical. You won’t just learn the functions—you’ll use them on realistic datasets, troubleshoot mistakes, and see how each tool supports smarter analysis. Data Analysis with Excel is ideal for students and young professionals who want to gain a competitive edge. These skills are transferable to any career path—because in today’s world, those who can understand data can also make better decisions.