The course offered by Rice University on Coursera, taught by Sharad Borle, and I’ve achieved a 97.5% grade. This beginner-level course introduces the fundamentals of data analysis using Microsoft Excel, focusing on practical skills for organizing, analyzing, and visualizing data. It is ideal for those new to data analysis, requiring basic familiarity with Excel but no advanced technical background.
The course covers key topics such as spreadsheet basics, data manipulation, and analytical functions in Excel. Major content includes creating and formatting spreadsheets, using functions like VLOOKUP and pivot tables, performing descriptive statistics, and generating charts for data visualization. The course incorporates video lectures, hands-on Excel exercises, and quizzes to reinforce learning, culminating in a final project analyzing a dataset to derive insights.
I learned how to efficiently organize datasets, apply Excel functions to analyze data, and create meaningful visualizations like histograms and scatter plots. The course improved my ability to handle large datasets and extract actionable insights, enhancing my confidence in using Excel as a powerful analytical tool.
While focused on Excel-based data analysis, these skills are highly relevant to image processing and high-quality image/video production. Proficiency in data organization and analysis allows me to evaluate image metadata or performance metrics, optimizing content for specific audiences. Pivot tables and charting tools help track editing workflows or analyze viewer engagement, enabling data-driven decisions to improve visual quality and streamline production processes.