Microsoft MCSA: BI Reporting

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Your 4-day accelerated MCSA: BI Reporting certification course will develop the skills you need to create and manage enterprise business intelligence solutions as well as gain an expert understanding of data analysis using Power BI.

You'll be immersed in Microsoft Official Curriculum (MOC) using Firebrand's Lecture | Lab | Review technique. Your expert Microsoft Certified Trainer (MCT) will get you hands-on with the technology - helping you develop real-world practical skills. You'll develop and retain knowledge faster by combining theory and practical labs, reinforced by review sessions to help you cover the more complex topics.

You'll cover a range of exciting topics including:

  • Performing Power BI desktop data transformation
  • Creating a Power BI desktop visualisation
  • Implementing the Power BI service
  • Connecting directly to data stores
  • Explore and extend a classic Excel dashboard and data model.
  • Import data from a SQL Server database and reports
  • Create measures using advanced DAX functions
  • Create data visualisations in Excel and a Power BI dashboard with Excel

You will be prepared for exams 70-778: Analysing Data with Power BI and 70-779: Analysing and Visualising Data with Microsoft Excel. You'll sit both these exams at Firebrand's training centre during the course. This is covered by your Certification Guarantee.

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If you're a database professional needing to create enterprise BI solutions and alternative methods of presenting data the MCSA BI Reporting certification is ideal. Earning the certifcation will act as your first step towards achieving the MCSE: Data Management and Analytics credential.

Det vil ta deg bare et øyeblikk å se hvor billige våre kurs er...

Her er 8 grunner til hvorfor du skal gjennomføre ditt MCSA BI Reporting hos Firebrand Training:

  1. Du blir utdannet og sertifisert på bare 4 dager. Hos oss får du din utdanning og sertifisering på rekordtid, en sertifisering du også gjennomfører der og da som en integrert del av den intensive, akselererte utdanningen.
  2. Alt er inkludert. Et engangsbeløp dekker alt kursmaterial, eksamen, kost og losji og tilbyr den mest kostnadseffektive måten å gjennomføre ditt MCSA BI Reporting kurs og sertifisering på. Og dette uten noen uannonserte ytterligere kostnader.
  3. Du klarer sertifiseringen første gangen eller kan gå kurset om igjen kostnadsfritt. Det er vår garanti. Vi er sikre på at du vil klare din MCSA BI Reporting sertifisering første gangen. Men skulle du mot formodning ikke gjøre det kan du innen et år komme tilbake og kun betale for eventuelle overnattinger og din eksamen. Alt annet er gratis.
  4. Du lærer deg mer.Tradisjonelle utdanningsdager varer fra kl. 09.00 til 16.00 med lange lunsj- og kaffepauser. Hos Firebrand Training får du minst 12 timers effektiv og fokusert kvalitetsutdanning hver dag sammen med din instruktør, uten private eller arbeidsrelaterte, forstyrrende momenter.
  5. Du lærer deg MCSA BI Reporting raskere. Vi kombinerer de tre innlæringsmetodene (Presentasjon |Øving| Diskusjon) slik at vi gjennomfører kurset på en måte som sikrer at du lærer deg raskere og lettere.
  6. Du er i sikre hender.Vi har utdannet og sertifisert 72.589 personer, vi er partner med alle de store navn i bransjen og vi har vunnet atskillige utmerkelser, bla. a. "Årets Learning Partner 2010, 2011, 2012, 2013 og 2015” fra Microsoft Danmark og med en vekst på 1430 % siden 2009 er vi årets Gazelle prisvinner på Sjælland, Danmark.
  7. Du lærer deg ikke bare teorien. Vi har videreutviklet MCSA BI Reporting kursen og tilbyr flere praktiske øvelser og sikrer på den måten, at du kan bruke dine ferdigheter for å løse daglige praktiske problemstillinger.
  8. Du lærer av de beste. Våre instruktører på MCSA BI Reporting er de beste i bransjen og tilbyr en helt unik blanding av kunnskap, praktisk erfaring og pasjon for å lære bort.

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Course 20778C: Analysing Data with Power BI

Module 1: Introduction to Self-Service BI Solutions

Introduces business intelligence (BI) and how to self-serve with BI.

Lessons

  • Introduction to business intelligence
  • Introduction to data analysis
  • Introduction to data visualisation
  • Overview of self-service BI
  • Considerations for self-service BI
  • Microsoft tools for self-service BI

Lab: Exploring an Enterprise BI solution

  • Viewing reports
  • Creating a Power BI report
  • Creating a Power BI dashboard

After completing this module, you'll be able to:

  • Describe the trends in BI
  • Describe the process of data analysis in Power BI
  • Use the key visualisations in Power BI
  • Describe the rationale for self-service BI
  • Describe considerations for self-service BI
  • Understand how you can use Microsoft products to implement a BI solution

Module 2: Introducing Power BI

This module introduces Power BI desktop, and explores the features that enable the rapid creation and publication of sophisticated data visualisations

Lessons

  • Power BI
  • The Power BI service

Lab : Creating a Power BI dashboard

  • Connecting to Power BI data
  • Create a Power BI dashboard

After completing this module, you'll be able to:

  • Develop reports using the Power BI Desktop app
  • Use report items to create dashboards on the Power BI portal
  • Understand the components of the Power BI service including licensing and tenant management

Module 3: Power BI

At the end of this module you'll be able to explain the rationale and advantages of using Power BI.

Lessons

  • Using Excel as a data source for Power BI
  • The Power BI data model
  • Using databases as a data source for Power BI
  • The Power BI service

Lab : Importing data into Power BI

  • Importing Excel files into Power BI
  • Viewing reports from Excel files

After completing this module, you'll be able to:

  • Describe the data model and know how to optimise data within the model.
  • Connect to Excel files and import data
  • Use on-premises and cloud Microsoft SQL Server databases as a data source, along with the R script data connector
  • Take advantage of the features of the Power BI service by using Q&A to ask questions in natural query language, and create content packs and groups

Module 4: Shaping and Combining Data

With Power BI desktop you can shape and combine data with powerful, buil-in tools. This module introduces the tools that are available for preparing your data, and transforming it into a form ready for reporting

Lessons

  • Power BI desktop queries
  • Shaping data
  • Combining data

Lab : Shaping and combining data

  • Shape power BI data
  • Combine Power BI data

After completing this module, you'll be able to:

  • Perform a range of query editing skills in Power BI
  • Shape data, using formatting and transformations
  • Combine data together from tables in your dataset

Module 5: Modeling data

This module describes how to shape and enhance data

Lessons

  • Relationships
  • DAX queries
  • Calculations and measures

Lab : Modelling Data

  • Create relationships
  • Calculations

After completing this module, you'll be able to:

  • Describe relationships between data tables
  • Understand the DAX syntax, and use DAX functions to enhance your dataset
  • Create calculated columns, calculated tables and measures

Module 6: Interactive Data Visualisations

This module describes how to create and manage interactive data visualisations

Lessons

  • Creating Power BI reports
  • Managing a Power BI solution

Lab : Creating a Power BI report

  • Connecting to Power BI data
  • Building Power BI reports
  • Creating a Power BI dashboard

After completing this module, you'll be able to:

  • Use Power Bi desktop to create interactive data visualisations
  • Manage a power BI solution

Module 7: Direct Connectivity

This module describes various connectivity options using Power BI

Lessons

  • Cloud data
  • Connecting to analysis services

Lab : Direct Connectivity

  • Direct connectivity from Power BI desktop
  • Direct connectivity from the Power BI service

After completing this module, you'll be able to:

  • Use Power BI direct connectivity to access data in Azure SQL data warehouse, in addition to big data sources such as Hadoop
  • Use Power BI with SQL Server Analysis Services data, including Analysis services models running in multidimensional mode

Module 8: The Developer API

This module describes the developer API within Power BI

Lessons

  • The developer API
  • Custom visuals

Lab: Using the developer API

  • Using custom visuals

After completing this module, you'll be able to:

  • Describe the developer API
  • Use the developer API to create custom visuals

Module 9: Power BI mobile app

This module describes the Power BI mobile app

Lessons

  • Power BI mobile apps
  • Using the Power BI mobile app
  • Power BI embedded

After completing this module, you'll be able to:

  • Describe the Power BI mobile app
  • Download and use the Power BI mobile app
  • Describe Power BI embedded and when you would want to use it

Course 20779C: Analysing Data with Excel

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, you'll 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
  • Analyse the Data

After completing this module, you'll 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, you'll 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, you'll 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, you'll 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, you'll 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: 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, you'll 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, you'll be able to:

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

You'll sit the following exams at the Firebrand training centre during the course, covered by your Certification Guarantee:

Exam 70-779: Analysing and Visualising Data with Microsoft Excel

Languages: English

Technology: Microsoft Excel, Power BI

You'll be tested on the following skills and knowledge:

  • Consume and Transform Data by Using Microsoft Excel (30-35%)
  • Model Data (35-40%)
  • Visualise Data (30-35%)

Exam 70-778: Analyzing and Visualizing Data with Microsoft Power BI

  • Languages: English
  • Technology: Microsoft Excel

You'll be tested on the following skills and knowledge:

  • Consume and Transform Data By Using Power BI Desktop (20-25%)
  • Model and Visualise Data (45-50%)
  • Configure Dashboards in the Power BI Service (25-30%)

Microsoft Official Curriculum

  • MOC 20778C: Analysing Data with Power BI
  • MOC 20779C: Analysing Data with Excel

Before attending this course, you must meet the following prerequisite knowledge and skills:

  • Experience of querying data using Transact-SQL
  • Excellent knowledge of relational databases and reporting.
  • Some basic knowledge of data warehouse schema topology (including star and snowflake schemas).
  • Some exposure to basic programming constructs (such as looping and branching).
  • An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.
  • Familiarity with Microsoft Office applications - particularly Excel.
  • Extensive knowledge of Excel spreadsheets including formulas, charts, filtering, sorting, and sub-totals.
  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Basic knowledge of data analytics

Microsoft MCSA BI Reporting Kursdatoer

Microsoft - MCSA: BI Reporting

Start

Slutt

Kapasitet

Registrer deg

18/11/2019 (Mandag)

21/11/2019 (Torsdag)

Ferdig

 

26/5/2020 (Tirsdag)

29/5/2020 (Fredag)

Ledige plasser

Registrer deg

Vi har lært opp 72.589 personer på 12 år. Vi ba dem om å anmelde vår akselererte opplæring. Akkurat nå har 96,77% angitt at Firebrand overgikk forventningene:

"Not very complimentary about this course."
Krishna Kumar. (18/11/2019 til 21/11/2019)

"Enjoyed visit to Wyboston lakes. Staff and facilities were exceptional - Highly recommended for those who want to learn in accelerated mode !"
S.R.. (5/8/2019 til 8/8/2019)

"Very friendly atmosphere and everyone is very helpful."
Thomas Stephens. (5/8/2019 til 8/8/2019)

"Very informative and helpful with questions enabling me to get my certification."
Michael Howard. (5/8/2019 til 8/8/2019)

"Intense.. but good!"
K.P.. (5/8/2019 til 8/8/2019)

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