Program Overview

Course Overview

Gain proficiency in creating calculated columns, measures, and visualising insights, empowering informed decision-making through effective data analysis.

Course Details

What You Study

This one-day course provides an introduction to Data Analysis Expressions (DAX) for business intelligence using Power BI. Participants will learn the fundamentals of DAX language, how to create calculated columns and measures, and analyse data effectively for business insights.

• Gain understanding of DAX language and its importance in Power BI.
• Explore the basics of DAX syntax.
• Create calculated columns.
• Understand the concept of measures in DAX.
• Explore aggregated functions.
• Develop time intelligence functions.
• Use advanced DAX functions for advanced calculations.
• Integrate DAX calculations into Power BI reports and dashboards.
• Understand optimization techniques for large datasets.

How You Learn

• Introduction to DAX and Power BI
• Overview of DAX language and its importance in Power BI
• Understanding the relationship between Power BI and DAX for business intelligence
• DAX Fundamentals
• Basics of DAX syntax: functions, operators, and expressions
• Introduction to DAX data types and evaluation context
• Calculated Columns
• Using DAX to create calculated columns in Power BI
• Applying mathematical operations, logical expressions, and text functions
• Introduction to Measures
• Understanding the concept of measures in DAX
• Creating basic measures for data analysis
• Aggregating Data with DAX
• Using DAX functions for aggregating data: SUM, AVERAGE, COUNT, etc.
• Applying filters and conditions in DAX expressions
• Time Intelligence in DAX
• Introduction to time intelligence functions: TOTALYTD, SAMEPERIODLASTYEAR, etc.
• Analysing trends and patterns in time-based data
• Advanced DAX Techniques
• Using DAX functions for advanced calculations: CALCULATE, FILTER, RELATED, etc.
• Implementing advanced business logic and scenarios
• Data Visualization with Power BI
• Integrating DAX calculations into Power BI reports and dashboards
• Creating interactive visualizations for business insights
• Best Practices and Optimization
• Best practices for writing efficient DAX expressions
• Performance optimization techniques for large datasets
• Hands-on Exercises and Case Studies

Entry Requirements

• You do not need a degree to take part in this course, but relevant experience is essential.
• Basic/intermediate skills and understanding using Excel formulas and basic understanding on databases would be useful.

Employability

• Designed for professionals and researchers aiming to craft advanced reports, this course elevates expertise in data analytics and visualization, nurturing career advancement.
• Participants acquire comprehensive Data Analytics Expressions (DAX) knowledge, empowering impactful reporting, efficient data analysis, and informed decision-making across industries reliant on data-driven strategies, fostering diverse career opportunities.

Part-time

• Fee for applicants: £300
• Length: 1 day
• Bespoke

Also of Interest

• Business Intelligence and Analytics MSc
• Introduction to generative AI and prompt engineering
• Advanced Bioprocess Control, Data and PAT