POWER BI PER DATA ANALYST

Corso avanzato di Business Intelligence per Data Analyst

Durata

3 giorni

Risultati

Analizzare dati, creare report interattivi e dashboard, e distribuirli

Docente

Microsoft Certified Trainer

Livello

Intermedio

Metodologia

Aula e laboratori

PER MAGGIORI INFO E ISCRIZIONI

CONTATTACI

Obiettivi del corso Power BI Data Analyst

Il corso Microsoft Power BI Data Analyst illustra ai partecipanti i vari metodi e le migliori pratiche che sono in linea con i requisiti aziendali e tecnici per modellare, visualizzare e analizzare i dati con Microsoft Power BI. Verrà mostrato come accedere ed elaborare i dati da una gamma di fonti di dati, compresi i dati relazionali e non relazionali.

Si esplorerà inoltre come implementare gli standard e le politiche di sicurezza adeguati in tutto lo spettro di Power BI, inclusi i set di dati e i gruppi. Verrà discussa anche la gestione e distribuzione di report e dashboard per la condivisione e la distribuzione dei contenuti. Infine, questo corso mostrerà come costruire report impaginati all’interno del servizio Power BI e pubblicarli in uno spazio di lavoro per l’inclusione in Power BI.

Al termine del corso i partecipanti saranno in grado di:

  • inserire, pulire e trasformare i dati;
  • modellare i dati per le prestazioni e la scalabilità;
  • progettare e creare rapporti per l’analisi dei dati;
  • applicare ed eseguire analisi avanzate dei rapporti;
  • gestire e condividere le risorse dei report;
  • creare report paginati in Power BI.

A chi è rivolto il corso

Il Corso Power BI Data Analyst è rivolto a esperti di dati e professionisti della business intelligence che vogliono imparare a eseguire analisi dei dati con precisione usando Power BI e a coloro che sviluppano report che visualizzano i dati dalle tecnologie della piattaforma dati esistenti sia nel cloud che in locale.

Per partecipare con profitto a questo corso è necessario possedere i seguenti prerequisiti:

  • comprensione dei concetti di base dei dati;
  • conoscenza dell’uso dei dati relazionali nel cloud;
  • conoscenza dell’uso dei dati non relazionali nel cloud;
  • conoscenza dei concetti di analisi dei dati e di visualizzazione.

PROGRAMMA DEL CORSO POWER BI PER DATA ANALYST

Module 1: Get Started with Microsoft Data Analytics

This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio.Lessons

  • Data Analytics and Microsoft
  • Getting Started with Power BI

Lab: Getting Started in Power BI Desktop

Module 2: Prepare Data

This module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage and understand the difference and performance implications of connecting directly to data vs. importing it.

Lessons

  • Get data from various data sources

Lab: Preparing Data in Power BI Desktop

Module 3: Clean, Transform, and Load Data

This module teaches you the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.

Lessons

  • Data shaping
  • Enhance the data structure
  • Data Profiling

Lab: Transforming and Loading Data in Power BI Desktop

    • Loading Data

Module 4: Design a Data Model

This module teaches the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance.

Lessons

  • Introduction to data modeling
  • Working with tables
  • Dimensions and Hierarchies

Lab: Data Modeling in Power BI Desktop

  • Create Model Relationships
  • Configure Tables
  • Review the model interface
  • Create Quick Measures

Lab: Advanced Data Modeling in Power BI Desktop

    • Configure many-to-many relationships

    • Enforce row-level security

Module 5: Create Model Calculations using DAX

This module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage and understand the difference and performance implications of connecting directly to data vs. importing it.

Lessons

  • Get data from various data sources

Lab: Preparing Data in Power BI Desktop

Module 6: Optimize Model Performance

In this module you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance.

Lessons

    • Optimize the model for performance

    • Optimize DirectQuery Models

    • Create and manage Aggregations

Module 7: Create Reports

This module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important topic of designing for accessibility is also covered.

Lessons

  • Design a report
  • Enhance the report

Lab: Designing a report in Power BI Desktop

  • Create a live connection in Power BI Desktop
  • Design a report
  • Configure visual fields and format properties

Lab: Enhancing reports with interaction and formatting in Power BI Desktop

    • Create and configure Sync Slicers

    • Create a drillthrough page
    • Apply conditional formatting
    • Create and use Bookmarks

Module 8: Create Dashboards

In this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights.

Lessons

  • Create a Dashboard
  • Real-time Dashboards
  • Enhance a Dashboard

Lab: Creating a Dashboard in Power BI Service

      • Create a Dashboard
      • Pin visuals to a Dashboard
      • Configure a Dashboard tile alert
      • Use Q&A to create a dashboard tile

Module 9: Enhance reports for usability and storytelling

This module will teach you about paginated reports, including what they are how they fit into Power BI. You will then learn how to build and publish a report.

Lessons

  • Paginated report overview
  • Create Paginated reports

Lab: Creating a Paginated report in Power BI Desktop

    • Use Power BI Report Builder

    • Design a multi-page report layout

    • Define a data source

    • Define a dataset

    • Create a report parameter

    • Export a report to PDF

Module 10: Perform Advanced Analytics

This module helps you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for actual data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights.

Lessons

  • Advanced Analytics
  • Data Insights through AI visuals

Lab: Data Analysis in Power BI Desktop

      • Create animated scatter charts
      • Use the visual to forecast values
      • Work with Decomposition Tree visual
      • Work with the Key Influencers visual

Module 11: Manage Datasets

In this module you will learn the concepts of managing Power BI assets, including datasets and workspaces. You will also publish datasets to the Power BI service, then refresh and secure them.

Lessons

  • Parameters

  • Datasets

  • Security in Power BI

Module 12: Create and Manage Workspaces

This module will introduce you to Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App.

Lessons

  • Creating Workspaces
  • Sharing and Managing Assets

Lab: Publishing and Sharing Power BI Content

    • Map security principals to dataset roles

    • Share a dashboard

    • Publish an App

SCARICA IL PROGRAMMA DEL CORSO

ALTRI CORSI CORRELATI

CONTATTI

Indirizzo Silver Academy

by Nexsys Sede Operativa via Niccolò Copernico, 18 – 37135 Verona VR

Email

info@silveracademy.net

Telefono

+39 0452456669

+39 3492653653