• LOGIN
  • Geen producten in de winkelwagen.

Analyzing Data with Excel (20779)

 1.395,00 Excl. BTW

Artikelnummer: 18962 Categorieën: , ,

Aangeboden leervormen

Analyzing Data with Excel (20779)

About this course
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.
Audience profile

After completing this course, students will be able to:
• Explore and extend a classic Excel dashboard.
• Explore and extend an Excel data model.
• Pre-format and import a .CSV file.
• Import data from a SQL Server database
• Import data from a report.
• Create measures using advanced DAX functions.
• Create data visualizations in Excel.
• Create a Power BI dashboard with Excel.

IT trainingen

Voor wie

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.

Programma

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
• Filtering and Formatting Data
• Building a Pivot Table
• Building a Pivot Chart
• Building a Dashboard
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
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.

Voorkennis

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.

Examen

Deze training bereidt u voor op Microsoft examen 70-779

Duur training

Open leercentrum: 3 dagen

Aanvragen

Graag wil ik informatie ontvangen over de opleiding:

Analyzing Data with Excel (20779)

U krijgt van ons per omgaande alle actuele datums voor deze opleiding op basis van uw plaats keuze.

Merk

Microsoft

Extra informatie

IT Doelgroep

IT-Techniek

Microsoft

,

Soort opleiding

Open Leercentrum



Compleet in opleiden

Algemene Voorwaarden
Sinteno Attitude
top

Door de site te te blijven gebruiken, gaat u akkoord met het gebruik van cookies. meer informatie

Sinteno maakt gebruik van cookies, onder andere om de website te analyseren en het gebruiksgemak te vergroten. Door gebruik te maken van deze website geef je impliciet toestemming voor het gebruik van cookies. Sinteno zal zorgdragen dat het gebruik van cookies geen of geringe gevolgen heeft voor de persoonlijke levenssfeer van de gebruiker van deze website. Meer informatie over het gebruik van cookies en/of persoonlijke gegevens kunt u vinden in het Privacy Statement van Sinteno.

Sluiten