Analyzing Data with Excel

MS20779
3 nap
220 000 Ft + ÁFA
tanfolyamkezdési időpontok:
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A tanfolyam célja

The main purpose of the course is to give students the ability to add BI techniques to Excel data analysis. The course goes beyond the capabilities of tables and charts and uses Pivot Charts, the Excel Data Model, and Power BI.

This course is intended for students who are experienced with analyzing data with Excel and who wish to add BI techniques.
The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data.

Level: Advanced
This Revision: B
First published: 07 December 2017

Tematika

  • 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
  • Module 2: The Excel Data Model
    • Using an Excel Data Model
    • DAX
  • Module 3: Importing Data from Files
    • Importing Data into Excel
    • Shaping and Transforming Data
    • Loading Data
  • Module 4: Importing Data from Databases
    • Available Data Sources
    • Previewing, Shaping, and Transforming Data
    • Table Relationships and Hierarchies
    • Loading Data
  • Module 5: Importing Data from Excel Reports
    • Importing Data from Excel Reports
    • Transforming Excel report Data
  • Module 6: Creating and Formatting Measures
    • DAX
    • Measures
    • Advanced DAX Functions
  • Module 7: Visualizing Data in Excel
    • Pivot Charts
    • Cube Functions
    • Charts for Cube Functions
  • Module 8: Using Excel with Power BI
    • Power BI
    • Uploading Excel Data to Power BI
    • Power BI Mobile App

Kinek ajánljuk

Előfeltételek

Before attending this course, students must have:

  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Working knowledge of relational databases.
  • Extensive knowledge of Excel spreadsheets including formulas, charts, filtering, sorting, and sub-totals.
  • Basic knowledge of data analytics equivalent to having attended course 10994.

Vizsgák

  • Analyzing and Visualizing Data with Microsoft Exce (70-779)

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