Naslovnica

PL-300: Microsoft Power BI Data Analyst

Ovaj trening obrađuje različite metode i dobre prakse u skladu s poslovnim i tehničkim zahtjevima za modeliranje, vizualizaciju i analizu podataka uz pomoć aplikacije Power BI. Svim polaznicima seminara PL-300 osigurali smo besplatno pohađanje treninga DP-900

Na ovom seminaru naučiti ćete kako pristupati podacima te procesuirati podatke iz različitih izvora, uključujući podatke iz relacijskih i drugih baza podataka. Tijekom treninga istražiti ćete kako implementirati odgovarajuće sigurnosne standarde i prakse u sklopu alata Power BI, uključujući skupove podataka i grupe. Biti će obrađeno i kako upravljati izvještajima i dashbordovima za dijeljenje i distribuciju sadržaja.

Što ćete naučiti

  • Dobivati, pročišćavati i transformirati podatke.
  • Modelirati podatke za određene performanse i skalabilnost.
  • Dizajnirati i kreirati izvještaje na temelju analize podataka.
  • Primjenjivati i provoditi naprednu analitiku i izvještavanje.
  • Upravljati podacima iz izvještaja i dijelit ih.

Kome je namijenjeno

Profesionalcima koji rade s podacima u cilju njihove analize i u području poslovne inteligencije (engl. business intelligence) koji žele naučiti kako točno provoditi analizu podataka koristeći Power BI. Pojedincima koji se bave izradom izvještaja koji vizualiziraju podatke uz pomoć tehnologija podatkovnih platformi, kako u oblaku (engl. cloud) tako i u lokalnom (engl. on-premises) okruženju.

Preduvjeti

Preduvjete za pohađanje ovog treninga možete steći pohađanjem treninga DP-900: Microsoft Azure Data Fundamentals. Svim polaznicima seminara PL-300 osigurali smo besplatno pohađanje treninga DP-900.
  • Iskustvo u radu s podacima u oblaku (engl. cloud).
  • Razumijeti osnovne podatkovne koncepte.
  • Iskustvo u radu s relacijskim i drugim podacima u oblaku.
  • Poznavanje podatkovne analize i koncepata vizualizacije

Nastavni plan

Pregledaj
  • Module 1: Get Started with Microsoft Data AnalyticsThis 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.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: Getting Data in Power BIThis 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.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: Cleaning, Transforming, and Loading Data in Power BIThis 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.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 BIThis 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.After completing this module, students will be able to:
    • Understand the basics of data modeling
    • Define relationships and their cardinality
    • Implement Dimensions and Hierarchies
     
  • Module 5: Create Model Calculations using DAX in Power BIThis 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.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 BIIn this module you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance.After completing this module, students will be able to:
    • Understand the importance of variables
    • Enhance the data model
    • Optimize the storage model
     
  • Module 7: Create Reports in Power BIThis 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.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
     
  • Module 8: Create Dashboards in Power BIIn 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.After completing this module, students will be able to:
    • Create a Dashboard
    • Understand real-time Dashboards
    • Enhance Dashboard usability
     
  • Module 9: Identify Patterns and Trends in Power BIThis 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.After completing this module, students will be able to:
    • Use the Analyze feature
    • Identify outliers in data
    • Use the AI visuals
    • Use the Advanced Analytics custom visual
     
  • Module 10: Create and Manage Workspaces in Power BIThis 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.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
     
  • Module 11: Manage Files and Datasets in Power BIThis module will introduce you to parameters and datasets. You will also learn how to manage datasets and parameters, build dynamic reports with parameters, and set dataset refresh options.After completing this module, students will be able to:
    • Manage datasets and parameters
    • Build dynamic reports with parameters
    • Schedule dataset refresh
    • Troubleshoot gateway service connectivity
     
  • Module 12: Row-level Security in Power BIThis module will introduce you to row-level security, both static and dynamic methods, and how to implement.After completing this module, students will be able to:
    • Implement row-level security using both the Static and Dynamic methods

Za što vas priprema?

  • Certifikacijski ispit: Exam PL-300: Microsoft Power BI Data Analyst
  • Certifikat: Microsoft Certified: Power BI Data Analyst Associate