Apple Esemény- sorozat 1. alkalom: 2024. április 25.

PL-300T00: Microsoft Power BI Data Analyst

MSPL300
3 nap
270 000 Ft + ÁFA
tanfolyamkezdési időpontok:
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A tanfolyamról

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.

Tematika

Module 1: Get Started with Microsoft Data Analytics

  • Data Analytics and Microsoft
  • Getting Started with Power BI

Module 2: Getting Data in Power BI

  • Data Analytics and Microsoft
  • Optimize Performance
  • Resolve Data Errors

Module 3: Cleaning, Transforming, and Loading Data in Power BI

  • Shaping the Data
  • Profiling the Data
  • Enhance the data structure

Module 4: Design a Data Model in Power BI

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

Module 5: Create Model Calculations using DAX in Power BI

  • Introduction to DAX    Real-time dashboards
  • Advanced DAX

Module 6: Optimize Model Performance in Power BI

  • Optimize the data model for performance
  • Optimize DirectQuery Models

Module 7: Create Reports in Power BI

  • Design a report
  • Enhance the report

Module 8: Create Dashboards in Power BICreate a Dashboard

  • Real-time Dashboards
  • Enhance a Dashboard

Module 9: Identify Patterns and Trends in Power BI

  • Advanced Analytics
  • Data Insights through AI visuals

Module 10: Create and Manage Workspaces in Power BI

  • Creating Workspaces
  • Sharing and Managing Assets

Module 11: Manage Files and Datasets in Power BI

  • Parameters
  • Datasets

Module 12: Row-level Security in Power BI

  • Security in Power BI

Kinek ajánljuk

Előfeltételek

Successful Data Analysts start this role with experience of working with data in the cloud.

Specifically:

  • Understanding core data concepts.
  • Knowledge of working with relational data in the cloud.
  • Knowledge of working with non-relational data in the cloud.
  • Knowledge of data analysis and visualization concepts.

You can gain the prerequisites and a better understanding of working with data in Azure by completing Microsoft Azure Data Fundamentals before taking this course.

Vizsgák

  • PL-300: Microsoft Power BI Data Analyst (PL-300)

Linkek

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