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⏱ 2 oras 30 min📚 25 aralin🎧 Audio version
Excel Pivot Tables for Beginners and Data Analysts
Learn to organize, analyze, and summarize large datasets with Excel Pivot Tables to make data-driven business decisions.
💬AI instructor Magtanong tungkol sa anumang aralin at makakuha ng malinaw na sagot agad, anumang oras.
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🌐Sa Filipino Mga aralin, gawain at sertipiko — lahat ay ganap na nasa wika mo.
Tungkol sa kursong ito
Struggling to make sense of large spreadsheets filled with thousands of rows of raw data? Pivot Tables are the most powerful built-in tool in Excel to quickly summarize, analyze, and explore your data without complex formulas. This written course guides you from absolute beginner to confident data analyst, teaching you how to transform messy spreadsheets into clean, actionable business summaries.
By following this structured text-based guide, you will master the mechanics of data preparation, layout configuration, and professional reporting. You will learn to spot trends, filter out noise, and present key metrics clearly to stakeholders.
What you'll learn:
- Understand foundational spreadsheet preparation and data formatting rules before building Pivot Tables
- Create and configure Pivot Tables to summarize thousands of rows of data in seconds
- Group, sort, and filter data to isolate specific trends and key performance indicators
- Apply dynamic formulas, calculated fields, and calculated items directly within your tables
- Design clear, interactive dashboards using modern Slicers and Timeline filters
- Format and present your findings professionally for business reports and decision-makers
This course begins with essential database design concepts and data cleaning principles, ensuring your raw information is structured correctly. From there, you will step through creating your first Pivot Table, customizing its layout, and implementing advanced analytical tools like dynamic arrays and custom calculations.
This course is designed for absolute beginners, business professionals, administrative assistants, and aspiring data analysts who want to save time and work smarter. No previous programming or advanced Excel experience is required.
Start reading today to turn your raw data into clear, professional business insights.
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