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PL-300T00

Microsoft Power BI Data Analyst

Prezzo

€ 1,050.00
(Iva esclusa)

Scheda tecnica

Scarica

Giorni

3 gg

L'obiettivo di questo corso è apprendere i metodi migliori in linea con i requisiti tecnici e aziendali per gestire, visualizzare e analizzare i dati con Power BI. Tra i vari argomenti trattati, il corso mostrerà anche come si fa ad accedere ed elaborare i dati da una gamma di fonti, compresi i dati relazionali e non relazionali.

In più, il corso approfondirà anche le metodologie per implementare gli standard e le politiche di sicurezza adeguate per Power BI, come i set di dati e i gruppi.

Un altro argomento di rilevante interesse è la gestione e distribuzione dei report e della dashboard, utile anche per condividere i contenuti.

Infine, il corso completerà la conoscenza di Power BI con un focus su come costruire report e pubblicarli in uno spazio di lavoro.

Questo corso è stato concepito per incontrare le esigenze di professionisti del trattamento dati e della business intelligence che vogliono imparare come gestire l'analisi dei dati usando Power BI. Inoltre, si rivolge anche agli individui che sviluppano report con i dati rapportandosi con piattaforme di dati che esistono sia nel cloud che on-premises.

Per seguire con successo questo corso, è consigliabile aver maturato già esperienza di lavoro con i dati nel cloud. In particolare, è utile avere:

    - Dimestichezza con i concetti fondamentali dei dati.

    - Conocenza del lavoro con i dati relazionali nel cloud.

    - Conoscenza del lavoro con dati non relazionali nel cloud.

    - Conoscenza dei concetti di analisi e visualizzazione dei dati.

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
Getting Started


After completing this module, students will be able to:

Explore the different roles in data

Identify the tasks that are performed by a data analyst

Describe the Power BI landscape of products and services

Use the Power BI service


Module 2: Prepare Data in Power BI
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
Prepare Data


After completing this module, students will be able to:

Identify and retrieve data from different data sources

Understand the connection methods and their performance implications

Use Microsoft Dataverse

Connect to a data flow


Module 3: Clean, Transform, and Load Data in Power BI
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


After completing this module, students will be able to:

Apply data shape transformations

Enhance the structure of the data

Profile and examine the data


Module 4: Design a Data Model in Power BI
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


After completing this module, students will be able to:

Understand the basics of data modeling

Define relationships and their cardinality

Implement Dimensions and Hierarchies

Create histograms and rankings


Module 5: Create Model Calculations using DAX in Power BI
This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.


Lessons
Introduction to DAX

DAX context

Advanced DAX

Lab : Advanced DAX in Power BI Desktop
Use the CALCULATE() function to manipulate filter context
Use Time Intelligence functions
Lab : Introduction to DAX in Power BI Desktop
Create calculated tables
Create calculated columns
Create measures


After completing this module, students will be able to:

Understand DAX

Use DAX for simple formulas and expressions

Create calculated tables and measures

Build simple measures

Work with Time Intelligence and Key Performance Indicators


Module 6: Optimize Model Performance in Power BI
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


After completing this module, students will be able to:

Understand the importance of variables

Enhance the data model

Optimize the storage model

Implement aggregations


Module 7: Create Reports in Power BI
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


After completing this module, students will be able to:

Design a report page layout

Select and add effective visualizations

Add basic report functionality

Add report navigation and interactions

Improve report performance

Design for accessibility


Module 8: Create Dashboards in Power BI
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


After completing this module, students will be able to:

Create a Dashboard

Understand real-time Dashboards

Enhance Dashboard usability


Module 9: Enhance reports for usability and storytelling in Power BI
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


After completing this module, students will be able to:

Explain paginated reports

Create a paginated report

Create and configure a data source and dataset

Work with charts and tables

Publish a report


Module 10: Perform Advanced Analytics in Power BI
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


After completing this module, students will be able to:

Explore statistical summary

Use the Analyze feature

Identify outliers in data

Conduct time-series analysis

Use the AI visuals

Use the Advanced Analytics custom visual


Module 11: Manage Datasets in Power BI
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


After completing this module, students will be able to:

Create and work with parameters

Manage datasets

Configure dataset refresh

Troubleshoot gateway connectivity

Understand the aspects of Power BI security

Configure row-level security roles and group memberships


Module 12: Create and Manage Workspaces in Power BI
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


After completing this module, students will be able to:

Create and manage a workspace

Understand workspace collaboration

Monitor workspace usage and performance

Distribute an App



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