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Analyzing Data with Power BI Training & Certification

Course Code: 9563

Overview

Power BI is a cloud-based business analytics service by Microsoft providing interactive visualizations & business intelligence capabilities for users while supporting them to create reports and dashboards to meet their requirements. Power BI offers data warehousing capabilities to users helping them with data preparation, data discovery, and interactive dashboards.

Today, Power BI is one of the largest & fastest-growing business intelligence clouds. Gartner has recognized Microsoft as a leader for the 14th consecutive year in the 2021 Gartner Magic Quadrant for analytics & business intelligence platforms.

Cognixia’s ‘Analyzing data with Power BI’ discusses the various methods & best practices that are in line with business & technical requirements from modeling, visualizing, and analyzing data with Power BI. The course will show how to access & process data from a range of data sources including both relational & non-relational data. The course also covers how to implement security standards & policies across the Power BI spectrum including datasets and groups while also focusing on how to manage & deploy reports & dashboards for sharing and content distribution. The course will acquaint participants with how to build paginated reports within Power BI and publish them to a workspace for inclusion with Power BI.

Schedule Classes

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Course Delivery

This course is available in the following formats:

Live Classroom 
Duration: 10 days

Live Virtual Classroom
Duration: 10 days

What You'll learn

  • Ingest, clean, and transform data
  • Model data for performance and scalability
  • Design and create reports for data analysis
  • Apply and perform advanced report analytics
  • Manage and share report assets
  • Create paginated reports in Power BI

Outline

  • Data analytics and Microsoft
  • Getting started with Power BI
  • Lab: Getting started
  • Get data from various data sources
  • Optimize performance
  • Resolve data errors
  • Lab: Preparing data in Power BI desktop
  • Data shaping
  • Enhance the data structure
  • Data profiling
  • Lab: Transforming & loading data
  • Introduction to data modeling
  • Working with tables
  • Dimensions and hierarchies
  • Lab: Data modeling in Power BI desktop
  • Lab: Advanced data modeling in Power BI desktop
  • Introduction to DAX
  • DAX context
  • Advanced DAX
  • Lab: Introduction to DAX in Power BI desktop
  • Lab: Advanced DAX in Power BI desktop
  • Optimize the model for performance
  • Optimize DirectQuery Models
  • Create and manage aggregations
  • Design a report
  • Enhance the report
  • Lab: Designing a report in Power BI
  • Lab: Enhancing Power BI reports with interaction and formatting
  • Create a dashboard
  • Real-time dashboards
  • Enhance a dashboard
  • Overview of paginated reports
  • Create paginated reports
  • Lab: Creating a paginated report
  • Advanced analytics
  • Data insights through AI visuals
  • Data analysis in Power BI desktop
  • Creating workspaces
  • Sharing and managing assets
  • Lab: Publishing & sharing Power BI content
  • Security in Power BI
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Prerequisites

To be eligible for this course and make the most of the concepts learnt during the sessions, participants need to have:

  • A thorough understanding of 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

Who Should Attend

The Power BI training is highly recommended for experienced individuals interested in building a career in Power BI, data analytics, and business intelligence. Some of the professionals who would find this training highly useful include:

  • Data analysts
  • BI developers
  • SQL developers
  • Technology engineers
  • Application architects
  • Software engineers
  • Data visualizers
  • Data translators
  • Application designers
  • Software development specialists

Interested in this course? Let’s connect!