IT Fundamentals of Data Analytics using Power BI

Course Code: PBI3DAP

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Duration

3 Day(s)

Course Type

Public or Private

Max Delegates

12

Delivery Style

Classroom

An Introduction to Data Analytics Concepts using Microsoft Power BI

Microsoft Power BI is a powerful business analytics service that enables you to transform data from multiple sources into interactive, visual reports accessible on any device. With data analysis and business intelligence being critical to organisational success, this course equips you with the knowledge and tools to create accurate data models, empowering you to make informed, data-driven decisions for your organisation.

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Start Date

Venue

Availability

27/01/2025

WR1 - Worcester, WR1 3EE

Available

27/01/2025

Virtual

Available

22/04/2025

WR1 - Worcester, WR1 3EE

Available

22/04/2025

Virtual

Available

15/09/2025

WR1 - Worcester, WR1 3EE

Available

15/09/2025

Virtual

Available

Course confirmed - Guaranteed to run
Course Full/Limited availability
Price shown excluding VAT.

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Description

Who is this course for

IT Technicians, Data Analysts and Business Analysts who need to analyse data using Power BI - the core concepts can also be applied to other BI software.

Purpose of the course

This course will cover the fundamentals of data analytics, enabling delegates to prepare data models for analysis in Power BI using data from multiple sources.

As the course progresses, delegates will delve into more complex data shaping in the Power Query Editor using the M language, and data modelling with Data Analysis Expressions (DAX).

You will learn how to


  • Understand fundamental data analysis concepts

  • Create and manage connections to data sources, and schedule data refreshes including on-premise data

  • Shape data from multiple sources and prepare the data for analysis

  • Understand and create data models

  • Analyse data using Data Analysis Expressions (DAX) to solve complex calculations

  • Use data analysis concepts, functions, and techniques to create reports with visualisations

  • Publish reports and datasets to the Power BI Service online

  • Create Workspaces

  • Manage access to reports to meet business needs

Prerequisites

Attend our Power BI Introduction course or have an equivalent level of knowledge and experience with Power BI.

Benefits for you as an individual

Data analytics and data science are among the fastest-growing roles today. As companies become increasingly data-driven, there is a growing demand for professionals who can interpret data to accelerate key business decisions.

Benefits for your organisation

Power BI provides insights across your organisation by making vast amounts of data easily consumable. A well-set-up data model enables report makers to create interactive reports and dashboards that accelerate and improve decision-making.

Introduction to Power BI

  • What is Power BI?
  • Power BI within the data analysis toolkit

Data Analysis Concepts

  • Facts, dimensions, and measures
  • Data layouts – the star schema and the denormalised form
  • Data types
  • Relationships and keys
  • Data models
  • Naming conventions

Data Sources

  • Excel workbooks, text files and CSVs, databases

Shaping Data

  • Preparing data for analysis
  • Setting data types
  • Create conditional columns
  • Create custom columns with Power Query M functions
  • Managing queries including merge, append, and disable load
  • Using the advanced query editor, including variables and functions

Modelling Data

  • Create and edit relationships
  • Create calculated columns
  • Identify and create measures
  • Build hierarchies of data

Data Analysis Expressions (DAX)

  • Understanding calculation context
  • Commonly used DAX aggregations – e.g. SUM, AVERAGE, COUNTROWS
  • DAX filter functions – e.g. CALCULATE, FILTER, ALL, LOOKUPVALUE, SELECTEDVALUE
  • DAX logical functions – e.g. IF, SWITCH, BLANK
  • Time intelligence functions and date tables
  • Table functions and X functions
  • Using the DAX Query View to improve performance and data quality

Publishing and Sharing

  • Powerbi.com
  • Sharing datasets
  • Sharing reports
  • Using Workspaces
  • Permissions
  • Row-level security
  • Creating and publishing Apps
  • Managing data refresh
  • Gateways to on-premise data

Additional Exam Information

N/A.

Pre-Coursework

None.

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