Overview
Power BI is a cloud-based business analytics service by Microsoft. It provides interactive visualizations & business intelligence capabilities while supporting users to create reports and dashboards to meet their requirements. Cognixia’s ‘Analyzing Data with Power BI’ will acquaint you with the concepts of Analyzing Data. It 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. Microsoft recognized as a leader for the 14th consecutive year in the 2021 Gartner Magic Quadrant for analytics & business intelligence platforms.
Cognixia’s Power BI discusses the various methods & best practices that are in line with business & technical requirements from modeling, analyzing, and visualizing data with Power BI.
The course also covers How to :
- access & process data from a range of data sources including both relational & non-relational data
- implement security standards & policies across the Power BI spectrum including datasets and groups
- manage & deploy reports & dashboards for sharing and content distribution
- build paginated reports with Power BI
- publish them to a workspace for inclusion with Power BI
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
- Data analysts
- BI developers
- SQL developers
- Technology engineers
- Application architects
- Software engineers
- Data visualizers
- Data translators
- Application designers
- Software development specialists
Curriculum
- 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
- Parameters
- Datasets
- Security in Power BI
Who should attend
- Data analysts
- BI developers
- SQL developers
- Technology engineers
- Application architects
- Software engineers
- Data visualizers
- Data translators
- Application designers
- Software development specialists
Prerequisites
- 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
FAQs
- Enables users to create amazing data experiences for customers
- Helps connects data sources with scale to analyze, share, and promote insights across the organization while maintaining data accuracy, consistency, and security
- Empowers users and customers to make decisions with confidence
- Provides end-to-end data protection
- Uses Microsoft Azure and is a cloud-based platform