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Analysing Data with Excel Training (20779)
Nivå: Intermediate
Snittbetyg:
4,70/5 Based on 53 Reviews
This official Microsoft Analysing Data with Excel (20779) course and learn 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.
Plus, this course will prepare you for Microsoft exam 70-779, a core requirement for the MCSA: BI Reporting certification.
Nyckelfunktioner:
- Microsoft Official Course (MOC) content
- After-course instructor coaching benefit
- Eligible to use with your Microsoft Software Assurance Training Vouchers (SATVs)
Du kommer lära dig att:
- 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 visualisations in Excel
- Create a Power BI dashboard with Excel
Välj den utbildningsform som passar dig bäst
LIVE, LÄRARLEDD
I klass & Live, Online-utbildning
- 3-day instructor-led training course
- Microsoft Certified training
- SATV eligible
- One-on-one after course instructor coaching
- Pay later by invoice -OR- at the time of checkout by credit card
FÖRETAGSINTERN UTBILDNING
Teamträning
- Använd denna eller någon annan utbildning i ditt företag
- Fullskalig programutveckling
- Levereras när, var och hur du vill
- Blandade utbildningsmodellerSkräddarsytt innehåll
- Coaching av ett expertteam
Anpassa kurs och innehåll efter teamets behov
Kontakta ossUtveckla dig och ditt team med anpassade eller öppna kurser alternativt e-learning
Learning Tree erbjuder kundanpassad utbildning hos er, öppna kurser i Stockholm, London eller Washington, möjlighet att delta via våra Anywhere centers (Malmö, Göteborg, Linköping, Stockholm eller Borlänge) eller olika former av e-learning med lärarstöd. Läs mer på www.learningtree.se/priser .
I klass & Live, Online-utbildning
Note: This course runs for 3 dagar *
*Events with the Partial Day Event clock icon run longer than normal but provide the convenience of half-day sessions.
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30 sep - 2 okt 9:00 - 4:30 EDT Online (AnyWare)
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28 - 30 okt 9:00 - 4:30 EDT Online (AnyWare)
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3 - 5 mar 9:00 - 4:30 EST Herndon, VA / Online (AnyWare)
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7 - 9 apr 9:00 - 4:30 EDT New York / Online (AnyWare)
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1 - 3 sep 9:00 - 4:30 EDT Herndon, VA / Online (AnyWare)
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Kurs med startgaranti
När du ser symbolen för “Guaranteed to Run” vid ett kurstillfälle vet du att kursen blir av. Garanterat.Partial Day Event
Learning Tree offers a flexible schedule program. If you cannot attend full day sessions, this option consists of four-hour sessions per day instead of the full-day session.Analysing Data with Excel Course Information
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Requirements
- 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
- Before attending this course, students must have:
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Exam Information
This course can help you prepare for the following Microsoft certification exam — 70-779: Analysing and Visualising Data with Microsoft Excel
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Redeem Your Microsoft Training Vouchers (SATV)
- This course is eligible for Microsoft Software Assurance Training Voucher (SATV) redemption.
- Want to learn more about Microsoft SATVs? Click to view our SATVs infographic.
Analysing Data with Excel Course Outline
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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
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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
- Analyse 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
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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
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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
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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
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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
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Module 7: Visualising Data in Excel
This module describes how to visualise data in Excel.
Lessons
- Pivot Charts
- Cube Functions
- Charts for Cube Functions
Lab: Data Visualisation 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
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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
Teamträning
Analysing Data with Excel Training FAQs
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Can I learn to analyse data with Excel online?
Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want. This course is available in class and live online.
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How can I use SATVs for this Analysing Data with Excel course?
Simply provide your Microsoft SATV voucher number, company email address, and voucher expiration date to your Learning Tree Training Advisor, and we will do the rest!
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Is this Analysing Data with Excel course part of a Microsoft MCSA certification path?
Yes! It fulfills a requirement for the MCSA: BI Reporting certification.
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