Microsoft Power BI Desktop In-company (now with live online classes)
Live online classes, Classroom or In Company/Bespoke based course with study materials and tutor support
MS Office Training Ltd
Summary
£550 per day of training for in company groups of 8 delegates, £400 for one-to-one...
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Overview
This course will allow you to explore the potential of self-service business intelligence using Power BI Desktop to analyse and connect to different sources of data, creating Relationships between those different datasets, Query the data using Shaping and data Modelling, to create Visualizations, and publish Reports to different platforms
.
Course Objectives
At the end of this course you will be able to:
- Connect to data from different sources.
- Use the Query Editor
- Perform Power BI desktop data Shaping and Transformation.
- Create Power BI desktop Modelling.
- Create Power BI desktop Visualizations and Reports.
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Our trainers are Microsoft certified professionals with a proven track record with several years experience in delivering public, one to one, tailored and bespoke courses.
- Our competitive rates start from £550.00 per day of training
Tailored training courses:
You can choose to run the course exactly as they are outlined by us or we can customise it so that it meets your specific needs. A tailored or bespoke course will follow the standard outline but may be adapted to your specific organisational needs.
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Course media
Description
Introduction to Power BI
- Power BI Jargon explained
- A quick look at Power BI Desktop
- A quick look at the Power BI service
- Helpful resources
Power BI and Excel
- Introduction to using Excel data in Power BI
- Upload Excel data to Power BI
- Import Power View and Power Pivot to Power BI
Getting started with Power BI Desktop
- Overview of Power BI Desktop
- Accessing Help and Helpful resources
- Connect to data sources in Power BI Desktop
Shaping and Transforming Data with Query Editor
- Introduction to the Query Editor
- Data Sources Power BI Desktop can Connect to
- Introduction to Steps and M code
- Combining Data Using Merge and Append Queries
- Data Type Properties
- Working with Delimiters
- Clean and transform your data with the Query Editor
- Text Specific Transformation Tools
- Number Specific Transformation Tools
- Date Specific Transformation Tools
- Split and Merge columns
- Creating an Index Column
- Adding Conditional Columns
- Columns From Examples
- Grouping and Aggregating data
- Pivoting and Unpivoting
- Using filters
Modeling the data
- Introduction to modeling your data
- How to manage your data relationships
- Create calculated columns
- Optimizing data models
- Create calculated measures
- Show Values As and Quick Measures
- Create calculated tables
- Explore your time-based data
- Introduction to DAX
- DAX calculation types
- DAX functions
Visualizations
- Introduction to visuals in Power BI
- Create and customize simple visualizations
- Modify colors in charts and visuals
- Shapes, text boxes, and images
- Page layout and formatting
- Group interactions among visualizations
- Visual hierarchies and drill-down
- Using custom visualizations
- Create a KPI Visualization
- Geo-Data and Maps
Reports, Publishing and Sharing
- Introduction to the Power BI service
- Quick insights in Power BI
- Create and configure a dashboard
- Ask questions of your data with natural language
- Create custom Q&A suggestions
- Share dashboards with your organization
- Introduction to content packs, security, and groups
- Publish Power BI Desktop reports
- Print and export dashboards and reports
- Create groups in Power BI
- Use content packs
- Update content packs
- Publish to web
Who is this course for?
This course facilitates you with knowledge on the potential for Power BI Desktop to analyse and connect to different sources of data, creating Relationships between those different datasets, Query the data using Shaping and data Modelling, and to create Visualizations, and publish Reports to different platforms.
Requirements
Before attending this course, delegates should have:
- A general knowledge of database concepts (fields, records and relationships)
- Familiarity with Excel.
Career path
Business Intelligence
Data Analysis
ETL & Data Warehousing
Questions and answers
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This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.
