Análisis de datos con Excel (MOC20779)

21 Hrs.

Del 22 al 25 de Julio de 15 a 20:20 Hrs.

Descripción

El propósito principal del curso es brindar a los estudiantes la capacidad de agregar técnicas de BI al análisis de datos de Excel. El curso va más allá de las capacidades de tablas y gráficos y utiliza gráficos dinámicos, el modelo de datos de Excel y Power BI.

Requisitos previos

Antes de asistir a este curso, los estudiantes deben tener:

  • Conocimientos básicos del sistema operativo Microsoft Windows y su funcionalidad principal.
  • Conocimiento práctico de las bases de datos relacionales.
  • Amplio conocimiento de las hojas de cálculo de Excel, que incluyen fórmulas, gráficos, filtrado, clasificación y subtotales.
  • Conocimientos básicos de análisis de datos equivalentes a haber asistido al curso 10994.

A quien va dirigido

Este curso está dirigido a estudiantes con experiencia en el análisis de datos con Excel y que desean agregar técnicas de BI.

Es probable que asistan al curso los creadores de informes de SQL Server que estén interesados en métodos alternativos de presentación de datos.

Objetivos

Después de completar este curso, los estudiantes podrán:

  • Explora y amplía un clásico tablero de Excel.
  • Explorar y ampliar un modelo de datos de Excel.
  • Preformatear e importar un archivo .CSV.
  • Importar datos desde una base de datos de SQL Server
  • Importar datos de un informe.
  • Crear medidas utilizando funciones avanzadas de DAX.
  • Crear visualizaciones de datos en Excel.
  • Crear un panel de Power BI con Excel.

Temario

Module 1: Data Analysis in Excel

This module looks at the classic Excel dashboard and at ways to extend it.

Lessons

  • Classic Data Analysis with Excel
  • Excel Pivot Tables
  • Limitations of Classic Data Analysis

Lab : Building a Classic Excel Dashboard

  • Formatting Data
  • Building a Pivot Table
  • Adding pivot charts and a slicer

After completing this module, students will be able to:

  • Describe classic data analysis with Excel
  • Describe Excel pivot tables
  • Describe the limitations of classic data analysis with Excel

Module 2: The Excel Data Model

This module looks at the classic Excel data model and at ways to extend it.

Lessons

  • Using an Excel Data Model
  • DAX

Lab : Explore an Excel Data Model

  • Create Calculated Columns
  • Format Data Model Data
  • Create Measures
  • Analyze the Data

After completing this module, students will be able to:

  • Describe an Excel data model
  • View data within an Excel data table
  • Describe DAX

Module 3: Importing Data from Files

This module looks at pre-formatting and importing CSV files.

Lessons

  • Importing Data into Excel
  • Shaping and Transforming Data
  • Loading Data

Lab : Importing Data from a CSV File

  • Import and Transform Data from a CSV File
  • Add Data from a Folder

After completing this module, students will be able to:

  • Import data into excel.
  • Shape and transform data.
  • Load data.

Module 4: Importing Data from Databases

This module looks at how to import data into Excel from a SQL Server database.

Lessons

  • Available Data Sources
  • Previewing, Shaping, and Transforming Data
  • Table Relationships and Hierarchies
  • Loading Data

Lab : Import Data from Multiple Sources

  • Import Data from SQL Server
  • Import Data from a CSV File
  • Create a Data Table

After completing this module, students will be able to:

  • Identify available data sources.
  • Preview, shape, and transform data.
  • Explain table relationships and hierarchies.
  • Load data from various sources

Module 5: Importing Data from Excel Reports

This module describes how to import data from a report.

Lessons

  • Importing Data from Excel Reports
  • Transforming Excel report Data

Lab : Importing Data from a Report

  • Import Data from Excel
  • Transform the Excel Data
  • Load the Data into an Excel Data Model

After completing this module, students will be able to:

  • Import data from Excel reports.
  • Transform Excel report data.

Module 6: Creating and Formatting Measures

This module describes how to create and format measures.

Lessons

  • DAX
  • Measures
  • Advanced DAX Functions

Lab : Creating Measures using Advanced DAX Functions

  • Last year comparison
  • Year to date
  • Market Share

After completing this module, students will be able to:

  • Explain what DAX is and when to use it.
  • Describe a measure.
  • Use some of the advanced functions within DAX.

Module 7: Visualizing Data in Excel

This module describes how to visualize data in Excel.

Lessons

  • Pivot Charts
  • Cube Functions
  • Charts for Cube Functions

Lab : Data Visualization in Excel

  • Create a Tabular Report
  • Create a Pivot Chart
  • Add Slicers to Charts

After completing this module, students will be able to:

  • Create and refine a pivot chart.
  • Describe cube functions and when to use them.
  • Describe a number of charts for use with cube functions.

Module 8: Using Excel with Power BI

This module describes how to use Excel with Power BI.

Lessons

  • Power BI
  • Uploading Excel Data to Power BI
  • Power BI Mobile App

Lab : Creating a Power BI Dashboard with Excel

  • Uploading Excel Data
  • Creating a Power BI Dashboard
  • Using Power BI desktop

After completing this module, students will be able to:

  • Describe Power Bi and the various versions available.
  • Upload Excel data to Power BI.
  • Describe the Power BI App.