Fundamentals of Data Analytics using Power BI

An Introduction to Data Analytics Concepts using Microsoft Power BI

Microsoft Power BI is a powerful business analytics service that can be used to transform data from multiple sources into interactive, visual reports that can be viewed on any device. With Data Analysis and Business Intelligence being vital to business success, this course will give you the knowledge and tools to create accurate data models upon which you can make critical decisions for your organisation.

Course Code
3 Days
Delivery Style
Course Type
Public or Private
Max Delegates
Available as Nutshell

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  • Date28 Nov 2022
  • VenueWorcester
  • Cost£1,197
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Purpose of this course

This course will cover the fundamentals of data analytics to enable delegates to prepare data models, ready for analysis in Power BI, using data from multiple sources. It will also explore the administrative side of Power BI to enable you to share reports and configure permissions.

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.

You will learn how to

•    Understand fundamental data analysis concepts.
•    Connect to common data sources such as Excel workbooks, CSV and SQL Server databases.
•    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, Dashboards, and Apps.
•    Manage access to reports to meet business needs.

Benefits for your organisation

Power BI provides insights throughout your organisation by making your vast amount of data easily consumable. A well setup data model will enable Report Makers to easily create interactive reports and dashboards to accelerate and improve decision making.

Benefits for you as an individual

Data Analytics and Data Science are some of the fastest-growing roles today. Companies are increasingly becoming more-and-more data driven and people are needed to interpret this data to accelerate key business decisions.

Introduction to Power BI
  • What is Power BI?.
  • Power BI within the data analysis toolkit
  • Introduction to the Power BI Desktop interface

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, CSV, databases.

Shaping Data

  •     Preparing data for analysis.
  •     Setting data types.
  •     Exclude unnecessary columns.
  •     Create calculated columns.

Modelling Data

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

Data Analysis Expressions (DAX)

  •     Time intelligence functions and date tables.
  •     __X functions (eg SUMX).
  •     Calculate, Filter, All.
  •     Logical operations.

Publishing and Sharing

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

Whilst not essential, exposure to data analysis or manipulation would be recommended. Advanced Excel and SQL users should consider themselves suitable for this course.

Pre-course work required


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