Curso Excel PowerPivot and Interactive Visualizations

  • Microsoft & Office

Curso Excel PowerPivot and Interactive Visualizations

24 horas
Visão Geral

O curso Excel PowerPivot and Interactive Visualizations foi desenvolvido para profissionais que desejam dominar o uso de dados no Excel 365 por meio de modelagem avançada e criação de visualizações dinâmicas e interativas. O treinamento ensina como utilizar o PowerPivot, DAX (Data Analysis Expressions), Power Query e outras ferramentas de Business Intelligence para transformar dados em insights visuais poderosos e dashboards profissionais.

Objetivo

Após realizar este curso Excel PowerPivot and Interactive Visualizations, você será capaz de:

  • Importar e transformar dados usando o Power Query.
  • Modelar dados relacionais e criar medidas com PowerPivot.
  • Aplicar fórmulas DAX para cálculos complexos e KPIs.
  • Criar dashboards interativos e relatórios visuais.
  • Conectar o Excel a fontes externas e trabalhar com grandes volumes de dados.
Publico Alvo
  • Profissionais de finanças, análise de dados, controladoria, gestão, TI e outras áreas que utilizam o Excel como ferramenta de tomada de decisão e desejam ampliar suas capacidades analíticas e de visualização.
Pre-Requisitos
  • Conhecimento intermediário de Excel 365.
  • Noções básicas de funções e tabelas dinâmicas.
Materiais
Português + Exercícios + Lab Pratico
Conteúdo Programatico

Lesson 1 – Understanding Power Pivot and the Power BI Tools

  1. What is Power Pivot, Power Query, Power View, and Power Map
  2. Why use the Power BI Tools
  3. Excel versus Power Pivot
  4. Pivot Table Examples with Excel Data
  5. Power Pivot Examples with a Data Model
  6. Power View and Power Map Examples

Lesson 2 – Working with Data

  1. Working with an Excel List
  2. Using VLOOKUP to add Helper Columns
  3. Working with an Excel Table
  4. Cleaning up Tables
  5. Working with Normalized Tables

Lesson 3 – Importing Data into Power Pivot

  1. Understanding Acceptable Data Types
  2. Adding Excel Tables to Power Pivot
  3. Importing Access Tables
  4. Saving the File
  5. Adding and Maintaining Data in Power Pivot

Lesson 4 – Creating the Data Model

  1. What is a Data Model
  2. Understanding Key Fields
  3. Creating Relationships between Tables in the Model
  4. Managing Relationships
  5. Create and Use Linked Tables
  6. Create and Use Hierarchies

Lesson 5 – Using Calculations in Power Pivot

  1. Types of Calculations in Power Pivot
  2. Creating a Calculated Column
  3. Creating a Calculated Field (Measures)
  4. Implicit Calculated Field
  5. Explicit Calculated Field
  6. Understanding DAX Measure Rules and Best Practices
  7. Choosing Between Calculated Columns and Measures
  8. Creating a Key Performance Indicator (KPI)

Lesson 6 – Using Data Analysis Expressions

  1. Understanding Data Analysis Expressions (DAX) Formulas
  2. Where to use DAX formulas
  3. Understanding the DAX syntax
  4. How to create DAX formulas
  5. Types of operations you can perform with DAX

Lesson 7 – Working with DAX Formulas

  1. Working with Filter Function
  2. Working with Time Intelligence Functions
  3. Using Multiple Functions in a Formula
  4. Using Multiple Data Tables

Lesson 8 – Data Analysis with Pivot Tables and Pivot Charts

  1. Creating Pivot Tables
  2. Filtering Data using Slicers
  3. Add Visualizations to a Pivot Table
  4. Creating Pivot Charts
  5. Formatting Pivot Charts
  6. Using Multiple Charts and Tables

Lesson 9 – Working with Power View

  1. Visualizing Data with Power View
  2. Creating a Basic Report
  3. Making Improvements with Power View
  4. Creating Tables and Matrices
  5. Building Bar, Column, and Pie Charts
  6. Constructing Line and Scatter Charts
  7. Producing Map-Based Visualizations

Lesson 10 – Building Interactive Reports with Power View

  1. Linking Visualizations in Power View
  2. Using Tiles to Organize the Data
  3. Filtering Groups and Views
  4. Exposing the Dashboard

Lesson 11 – Loading and Transforming Data with Power Query

  1. Importing Data
  2. Transforming, Cleansing, and Filtering Data
  3. Merging and Shaping Data
  4. Grouping and Aggregating Data
  5. Inserting Calculated Columns

Lesson 12 – Visualizing Data with Power Map

  1. Preparing the Data for Mapping
  2. Creating a Map-Based Graph
  3. Creating Heat and Region Maps
  4. Adding Multiple Layers to a Map
  5. Analyzing Changes Over Time
  6. Creating a Tour
TENHO INTERESSE

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