Microsoft Power BI Data Analyst
This Power BI Data Analyst Training Course will discuss the various methods and best practices that align with business and technical requirements for modelling, visualising, and analysing data with Power BI. The course will also show how to access and process data from various sources, including relational and non-relational data.
Description
In this course, you will:
- 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.
Course Outline
- Module 1: Discover data analysis
- Module 2: Get started building with Power BI
- Module 3: Get data in Power BI
- Module 4: Clean, transform, and load data in Power BI
- Module 5: Design a data model in Power BI
- Module 6: Add measures to Power BI Desktop models
- Module 7: Add calculated tables and columns to Power BI Desktop models
- Module 8: Use DAX time intelligence functions in Power BI Desktop models
- Module 9: Optimise a model for performance in Power BI
- Module 10: Design Power BI reports
- Module 11: Configure Power BI report filters
- Module 12: Enhance Power BI report designs for the user experience
- Module 13: Perform analytics in Power BI
- Module 14: Create and manage workspaces in Power BI
- Module 15: Enhance Power BI report designs for the user experience
- Module 16: Manage datasets in Power BI
- Module 17: Create dashboards in Power BI
- Module 18: Implement row-level security
Prerequisites
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 visualisation concepts.