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Learn Excel Data Preparation Skills | From Raw Data to Insights
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Microsoft Power BI Data Analyst Certificate: Course Preview - Learn Excel Data Preparation Skills | From Raw Data to Insights

5.0 (3)
36 learners

What you'll learn

This course includes

  • 1 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Have you ever struggled to make decisions using large, messy datasets? In this *Preparing Data for Analysis with Microsoft Excel* course, I’ll guide you through cleaning, transforming, and organizing your data so you can extract valuable business insights with confidence. In this beginner‑friendly course — part of the *Microsoft Power BI Data Analyst Professional Certificate on Coursera* — you'll learn how to: * Gather, clean, and transform raw data in Excel * Apply Excel formulas & functions for effective data preparation * Sort, filter, and format large datasets for visual analysis * Build charts, tables, and graphs that highlight insights * Use date, time, and logical functions (IF, IFS) to structure your data * Plan and complete a final Excel project that summarizes key KPIs Whether you’re preparing to take the PL‑300: Microsoft Power BI Data Analyst exam or starting your journey toward a career in data analytics, this course will equip you with essential Excel data cleaning and preparation skills. 🚀 Ready to supercharge your Excel skills? 📌 Enroll in the full Microsoft Power BI Data Analyst Professional Certificate → https://bit.ly/45OVaO7 ▶ Or preview Module 1 here → https://bit.ly/4fGOLrU 00:00 Introduction – Why data preparation matters 00:12 Course overview – Skills you will learn 01:31 Essential Excel techniques – Entering, formatting & managing data 01:49 Sorting, filtering & using formulas for cleaning 02:12 Logical & date functions for analysis 02:21 Final project – Executive summary worksheet 03:04 Career connection – PL-300 exam & analytics roles What’s the one Excel task you wish you could master? Drop it below 👇 #Excel #DataAnalysis #DataAnalytics #ExcelTutorial #PowerBI

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