category icon Business Applications, Cloud Infrastructure, Nexus Human

Course run in conjunction with Nexus Human. Trading MicroWarehouse CSP partners enjoy further discounts on selected Nexus human courses.

This is an intensive 3-day online course running from September 21st – 23rd inclusive.  MicroWarehouse trading partners can avail of our heavily discounted rate of €500 per candidate.  Please ensure you have cleared your calendar before registering as no refunds will be offered for cancellations made within 7 days of course commencement and places are limited.

Learn how to analyse data and create impactful reports using Microsoft Power BI. In this course, you will gain the skills required to connect to multiple data sources, clean and transform data, and build interactive dashboards that deliver meaningful insights. You will also learn how to model data, create visualisations, and share reports securely across your organisation. The course is designed for data professionals and business users who want to turn data into actionable insights and helps learners prepare for the PL-300: Microsoft Power BI Data Analyst certification.

Target Audience

  • Data analysts working with business intelligence tools
  • Business users responsible for reporting and insights
  • IT professionals supporting data analytics solutions
  • Professionals preparing for the PL-300 certification

Prerequisites

  • Basic understanding of data concepts
  • Familiarity with Microsoft Excel or similar tools
  • General knowledge of data analysis concepts

Course Contents

1 – Get started with Power BI

  • Understand Power BI components and services
  • Connect to data sources
  • Explore Power BI interface

2 – Prepare and transform data

  • Clean and transform data using Power Query
  • Shape and combine data
  • Handle data quality issues

3 – Model data in Power BI

  • Create data models and relationships
  • Use DAX calculations
  • Optimise data model performance

4 – Create visualisations and reports

  • Design interactive dashboards
  • Use charts and visuals effectively
  • Apply filters and slicers

5 – Analyse data and gain insights

  • Use advanced analytics features
  • Identify trends and patterns
  • Create calculated measures

6 – Share and manage reports

  • Publish reports to Power BI Service
  • Manage access and permissions
  • Monitor usage and performance


Agenda