Prefata curs

Scopul principal al cursului este de a oferi cursantilor o buna intelegere a analizei datelor cu Power BI. Cursul include crearea de vizualizari, serviciul Power BI si aplicatia Power BI Mobile.

MOC 20778B
Pret lista: 450 Eur
Durata: 3 zile (24 ore)

Discount-uri

Discount-uri de volum, pentru cursurile organizate la cererea companiilor-client, pentru grupe formate din:
3-7 participanti-10% rezultand pretul final de 405 Euro fara TVA/participant
8-12 participanti-20% rezultand pretul special de 360 Euro fara TVA/participant
>= 13 participanti-30% rezultand pretul exceptional de 315 Euro fara TVA/participant
  1. Pentru cursurile organizate la sediul centrului nostru de training pretul de mai sus include serviciile de instruire in clasa dotata cu infrastructura necesara (laptop/desktop, videoproiector, flipchart), suportul de curs, benefciile post-instruire descrise mai jos si cofeebreak (apa de baut, ceai / cafea). Servicii conexe, oferite la solicitarea dvs.: masa de pranz la restaurant la pretul de 7 Euro / zi / persoana (fara TVA)
  2. Pentru cursurile organizate la sediul companiei client, situat in Bucuresti sau Ilfov, cu infrastructura asigurata de client (laptop / desktop, video-proiector flipchart etc.) , din pretul de mai sus se deduce suma de 7 Euro / zi / participant, reprezentata de cheltuielile noastre cu infrastructura si coffe break.
  3. Pentru cursurile organizate la sediul companiei client, oriunde in tara, pentru un numar de minim 6 participanti, in pretul de mai sus sunt incluse toate costurile legate de deplasarea trainer-ului nostru (cazare, transport, diurna).
  4. Pentru cursurile organizate la sediul companiei client, cu infrastructura aferenta asigurata de noi (laptop-uri, video-proiector, flipchart), la pretul de mai sus se adauga suma de 5 euro / participant / zi de curs (fara TVA), reprezentata de cheltuielile aferente infrastructurii.

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Agendă Curs

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

Lessons

  • Introduction to business intelligence
  • Introduction to data analysis
  • Introduction to data visualization
  • 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, students will be able to:

  • Describe the trends in BI
  • Describe the process of data analysis in Power BI.
  • Use the key visualizations 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.

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

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, students will 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.

At the end of this module students will 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, students will be able to:

  • Describe the data model and know how to optimize 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.

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, students will 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.

This module describes how to shape and enhance data.

Lessons

  • Relationships
  • DAX queries
  • Calculations and measures

Lab : Modeling Data

  • Create relationships
  • Calculations

After completing this module, students will 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.

This module describes how to create and manage interactive data visualizations.

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, students will be able to:

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

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, students will 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 modles running in multidimentional mode.

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, students will be able to:

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

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, students will 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.

Detalii logistice

The main purpose of the course is to give students a good understanding of data analysis with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App.

The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data.

After completing this course, students will be able to:

  • Perform Power BI desktop data transformation.
  • Describe Power BI desktop modelling.
  • Create a Power BI desktop visualization.
  • Implement the Power BI service.
  • Describe how to connect to Excel data.
  • Describe how to collaborate with Power BI data.
  • Connect directly to data stores.
  • Describe the Power BI developer API.
  • Describe the Power BI mobile app.

Cursul este sustinut de catre Echipa Dr. SQL Server, condusa de Andrei Neagu.