Master Microsoft Excel 2023 Pivot Tables for Data Analysis.

Excel Pivot Tables: filters, calculated fields and items, grouping and subtotals, charts. Power Pivot. Full and in-depth

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Master Microsoft Excel 2023 Pivot Tables for Data Analysis.

What You Will Learn!

  • Pivot Tables and Charts with Power Pivot for data analysis by crossing, grouping, summarizing, and filtering information. From the basics to the advanced.
  • Power Pivot and KPIs (Key Performance Indicators) for following up "The Vital Few": strategic metrics for the achievement of a goal. A must for any management.
  • Notions and concepts of tables, including their formal definition and the extra features it bring up. An important base for dominating Pivot Tables.
  • Data Model and Relationships: Understanding the Relational Database system and applying it under Power Pivot, for creating Pivot Tables out of several tables.
  • Several filtering data tools, create calculated fields and items, custom grouping and subtotals, amongst other matters for thorough and in-depth data analysis.
  • Tools for dynamic Data Analysis for learning them quickly, smoothly, and thoroughly, going directly to the point without wasting time with side matters.

Description

All organizations need to analyze data on their activity to find out trends, strengths, weaknesses, and other aspects to understand the waters they sail on, and Pivot Tables is an excellent tool for this purpose. A must to learn for any manager.

If your aim is to learn quickly, smoothly, and thoroughly Pivot Tables, going directly to the point, you have come to the right place.

Based on more than 25 years of experience as an Excel trainer and business manager, this course reflects this wide and versatile knowledge, delivered to you in a tray with juicy content.

You’ll acquire proficiency in Excel Pivot Tables by dominating matters such as notions about tables and the advantages of their formal definition, creation, and reconfiguration of Pivot Tables, diverse types of filtering data, defining calculated fields and items, grouping data and subtotals, Pivot Charts and Power Pivot, amongst others.

Course content:

  • Tables: - Notions and Concepts

    • Introduction to Tables

    • Defining as Formal Table

    • Removing Duplicates

    • Basic Features of a Formal Table

    • Automation Settings

    • Structured Referencing

  • Tables: Filtering Data

    • Filtering Data - Introduction

    • Text Filters

    • Number Filters

    • Date Filters

  • Pivot Tables - Creation and Reconfiguration

    • Introduction to Pivot Tables

    • Creating a Pivot Table

    • Filter Field

    • Reconfiguring a Pivot Table

    • Totals and Grand Totals

    • Layout and Styles

  • Pivot Tables - Fields Settings and Calculations

    • Values Fields Settings

    • Item Fields Settings

    • Creating Calculated Fields

    • Creating Calculated Items

  • Pivot Tables - Grouping

    • Date Grouping

    • General Grouping

    • Columns  Grouping

  • Pivot Tables - Special Filters

    • Slicer Filter

    • Timeline Filter

  • Pivot Charts

    • Inserting a Pivot Chart

    • General Tasks with Pivot Charts

  • Power Pivot - Installation and Introduction

    • Power Pivot -  Add-In Installation

    • Power Pivot - Database Notions - Introduction

    • Power Pivot - Database Notions - Relational  Database

    • Power Pivot - Definining Lists as Tables

  • Power Pivot - Data Model and Pivot Tables

    • Adding Tables to the Data Model

    • Creating Relationships

    • Creating a Pivot Table of a Data Model

  • Power Pivot - Calculated Fields

    • Calculated Fields - Introduction

    • Creating Calculated Fields

    • Calculated Fields - Using in Pivot Table

  • Power Pivot - KPIs - Key Performance Indicators

    • Key Performance Indicators - Introduction

    • Creating KPIs Metrics

    • Applying KPIs in a Pivot Table


Who Should Attend!

  • Those needing to do data analysis in-depth with Pivot Tables and want to go directly to the point without wasting their time with side matters.
  • Appropriate for Data Analysts and those needing to get Data Analytics.

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Subscribers

21

Lectures

42

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