Udemy限免:Microsoft Excel:数据透视表从零到英雄 | Udemy Coupon | Udemy优惠码 | Udemy免费课程

Free Udemy Course Microsoft Excel: Pivot Tables – Zero to Hero
Microsoft Excel:数据透视表-从零到英雄,通过Practical了解有关Microsoft Excel数据透视表的所有信息。 | Udemy付费课程限时免费 | Udemy Coupon | Udemy优惠码 | Udemy免费课程

Udemy课程介绍

**This course provides downloadable instructor and exercise files to help you follow along and practice.**

In today’s data-driven world, data analysis plays a critical role in understanding businesses, identifying trends, and forecasting needs. Having the right skills to efficiently handle and analyze data is essential.

PivotTables are a key Excel tool for analyzing and visualizing large datasets. They allow you to quickly summarize and group large amounts of data interactively, making it easier to understand and present the information effectively.

In this course, you’ll learn the importance of cleaning your data before creating a PivotTable. You’ll also explore how to create and format PivotTables and PivotCharts. We cover advanced features such as sorting, slicers, timelines, calculated fields, and conditional formatting to help you maximize the potential of this powerful tool.

Designed for both beginners and intermediate users, this course will help expand your Excel skills. You can also download the Excel data files used in the tutorials to follow along step by step.

This Course,

  1. Download and work with instructor-provided Excel files for hands-on practice.
  2. Understand the importance of data cleaning before creating PivotTables.
  3. Arranging the data set for the analysis
  4. Learn main excel formulas
  5. Create PivotTables to summarize and analyze large datasets.
  6. Build and format PivotCharts for visual data representation.
  7. Utilize advanced PivotTable features like sorting, slicers, and timelines.
  8. Apply calculated fields and conditional formatting to enhance your data insights.
  9. Efficiently group and aggregate data using PivotTable tools.
  10. Expand your Excel skills for data analysis and visualization tasks.
  11. Follow along with exercise files to practice and master key concepts

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