Prefata curs

Scopul principal al cursului este de a oferi cursantilor posibilitatea de a adauga tehnici BI la analiza datelor Excel. Cursul depaseste capacitatile tabelelor si diagramelor si utilizeaza diagrame Pivot, Excel Data Model si Power BI.

MOC 20779B
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

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

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

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.

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.

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.

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.

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.

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.

Detalii logistice

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.

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.

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