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Excel Pivot Table Masterclass: Excel Reporting & Dashboards

Sourcing data, Cleansing it, and Analyzing it through Excel pivot tables and dashboards. Master reporting & data viz

     
  • 4.4
  •  |
  • Reviews ( 221 )
₹629

This Course Includes

  • iconudemy
  • icon4.4 (221 reviews )
  • icon6h 54m
  • iconenglish
  • iconOnline - Self Paced
  • iconprofessional certificate
  • iconUdemy

About Excel Pivot Table Masterclass: Excel Reporting & Dashboards

Building Business Intelligence with Pivot Tables is an online video course that is perfect for anyone looking to build reports and quickly summarize 10s to 1,000s of rows of data quickly. This course will provide the analyst with the best ways to source and clean up source data for reporting. As the data is cleansed, the course will show you how to present the data in a way that is easy to use for analysis by presenting data in both tabular and visually. The course will further explore the best ways to analyze the data and drill in and out of data By the end of this course, you will feel confident sourcing data, cleansing it, and analyzing it through pivot tables and dashboards. This is a course aimed squarely at the beginner/intermediate Excel users looking to take their skills to the next level. Before starting this course, you should be comfortable working in Excel. Knowledge of a variety of formula can be helpful, although is by no means necessary. While those comfortable with Pivot Tables are likely to pick up new tricks to make their lives easier, the course is designed to take someone with absolutely no Pivot Table knowledge and teach them how to collect, clean and set up the data, present it in Pivot Tables and build dashboards using Pivot Charts. The instructor, Ken Puls, is an Excel MVP, blogger, conference speaker, and co-author of "M is for Data Monkey" - a guide to the M language in Excel Power Query.

What You Will Learn?

  • Build Dashboards and visualizations with PivotTables .
  • Build reports and quickly summarize 10s to 1,000s of rows of data quickly .
  • Source and clean up source data for reporting .
  • Present the data in a way that is easy to use for analysis by presenting data in both tabular and visually .
  • Analyze the data and drill in and out of data .
  • Source data, cleanse it, and analyze it through pivot tables and dashboards.