Excel 365 Intermediate – Data Analysis & Advanced Functions

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Excel 365 Intermediate – Data Analysis & Advanced Functions

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·3mo ago

Key Takeaways

Masters data analysis techniques and advanced functions in Excel 365

Original Description

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this intermediate-level course on Microsoft Excel 365, you will master data analysis techniques and advanced functions that will enhance your efficiency and precision. You’ll learn key skills like logical functions, lookup formulas, data validation, and how to apply advanced statistical and mathematical operations. By the end of the course, you will be confident in using Excel’s more complex tools to organize and analyze large datasets with ease. The course is designed to take you on a structured journey, starting with essential spreadsheet design principles, then progressing to advanced functions like logical operations, sorting, filtering, and analyzing data. You will also dive into Excel’s powerful features such as PivotTables and PivotCharts, learning how to visualize and interact with your data dynamically. From conditional formatting to data manipulation, you will gain practical skills applicable in both professional and personal settings. This course is suitable for those who already have basic Excel knowledge and are eager to enhance their skills. Whether you're a professional looking to improve your data analysis capabilities or a student aiming to master advanced Excel functions, this course will provide valuable knowledge for various scenarios. The course is designed for intermediate learners, but no specific prerequisites are required beyond basic Excel knowledge. By the end of the course, you will be able to create advanced Excel functions, analyze data with PivotTables and charts, manipulate datasets with arrays, and apply logical functions to make better data-driven decisions.
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