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.
Throughout the course, you will:
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.
Integrating DAX calculations into Power BI reports and dashboards
Understand optimization techniques for large datasets
In addition to theoretical concepts, you will engage in hands-on activities designed to reinforce your understanding and practical skills in using DAX in Microsoft PowerBi. Furthermore, you will hear about industry-related case studies to provide practical and informative solutions.
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
How you are assessed
With no formal assessments, this unaccredited CPD course allows participants to focus on developing practical skills without the pressure of exams, encouraging the application of knowledge directly in the workplace.
Entry requirements
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.
Please note Teesside University also run an introductory 1 day course to data analytics using Power Bi which is a precursor to this one.
Employability
Career opportunities
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.