This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualising, and analysing 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
This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualising, and analysing 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. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.
What You’ll Learn
After completing this course, students will be able to:
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
Who Is The Course For?
The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI.
This course is also targeted toward those individuals who develop reports that visualise data from the data platform technologies that exist on both in the cloud and on-premises.
Course Subjects
Discover data analysis
Get started building with Power BI
Get data in Power BI
Clean, transform, and load data in Power BI
Design a data model in Power BI
Introduction to creating measures using DAX in Power BI
Optimise a model for performance in Power BI
Work with Power BI visuals
Create a data-driven story with Power BI reports
Create dashboards in Power BI
Perform analytics in Power BI
Work with AI visuals in Power BI
Create and manage workspaces in Power BI
Manage datasets in Power BI
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.
Lumify Group was previously known as DDLS Group. We help business and enterprise customers turn change into opportunity through instructor-led, vendor-certified, IT and process training.
Developed in partnership with the world’s leading tech vendors and delivered by industry-accredited experts, our courses are pragmatic, future-focused and real-world ready.
From cybersecurity to cloud computing, AI to agile, our award-winning trainers deliver cutting-edge content to over 20,000 students online, in classrooms and in workplaces, every year.
Learn From The Experts
Leaders in their respective fields and with an average student rating of 4.8/5, our industry-accredited trainers will inspire your team to learn, thrive and grow.
Train Your Way
From face-to-face sessions with our expert trainers to self-directed courses delivered entirely online, our training methods can be easily adapted to suit you and your team.
The Bachelor of Applied Data Analytics is a three year full-time (or equivalent part-time) inter-disciplinary degree that is designed to address a global shortage of graduates with skills in data analytics as applied to high-quality, data-informed decision-making.
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