Data Analysis using Excel " Analysis and Visualization"

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Data analysis is a valuable skill for students in many fields, from business and science to social studies. As a student, you'll need to understand how to collect, organize, and interpret data to support your research, class projects, or future career goals. I’ve designed this course as a hands-on introduction to data analysis that's made specifically for students. You’ll learn how to use tools like Excel, Google Sheets, and basic Python to clean data, create charts and graphs, and draw meaningful conclusions from real datasets. This class will help you build strong analytical skills that will not only boost your academic performance but also prepare you for data-driven world.

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This class is designed to help students understand how to apply statistical tools and methods to real-world economic growth scenarios. Whether you're a beginner or looking to sharpen your data analysis skills, this course will walk you through the fundamentals of applied statistics, including descriptive and inferential statistics, regression analysis, and forecasting techniques—using Microsoft Excel. We will focus on interpreting economic data, identifying trends, and making data-driven decisions to better understand factors that influence economic growth. The class is practical and interactive, with examples drawn from global and regional economies to ensure relevance. By the end of this course, students will be able to: Analyze economic data using Excel Apply statistical methods to real-world economic issues Interpret results and present findings clearly Build confidence in working with quantitative data

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