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Microsoft Power BI Desktop (live online classes)

£447.75

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. ‘ 1 year email support service Take a closer look at the consistent excellent feedback from our growing corporate clients visiting our site ms-officetraining co uk With more than 20 years experience, we deliver courses on all levels of the Desktop version of Microsoft Office and Office 365 ; ranging from Beginner, Intermediate, Advanced to the VBA level and Business Intelligence. Our trainers are Microsoft certified professionals with a proven track record with several years experience in delivering public, one to one, tailored and bespoke course Tailored training courses: in in company training, 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. Please visit our site (ms-officetraining co uk) to get a feel of the excellent feedback our courses have had and look at other courses you might be interested in.

SKU: 268366 Category:

Description

Business_Data analysis

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