Sign up for Power BI Classes in Moscow to build workplace-ready skills quickly and confidently. Master concepts and tools that top employers actively look for in skilled candidates.
Basic understanding of spreadsheets and business reporting concepts
Skills You Will Gain
Build interactive reports and dashboards from raw data
Connect and transform data from multiple sources
Apply visual analytics to identify business trends
Key Features
Power BI Training in Moscow Modules
1.
Introduction to Microsoft Power BI, the key features of Power BI workflow, Desktop application, BI service, and file data sources.
2.
Sourcing data from web (OData, Azure), building dashboard, data visualization, publishing to cloud, DAX data computation, row context, filter context.
3.
Analytics Pane, creating columns and measures, data drill down and drill up, creating tables, binned tables, data modeling and relationships
4.
The Power BI components like Power View, Map, Query, Pivot, Power Q & A, understanding advanced visualization.
1.
Learning about Power Query for self-service ETL functionalities, introduction to data mashup, working with Excel data, learning about Power BI Personal Gateway
2.
Extracting data from files, folders and databases, working with Azure SQL database and database source
3.
Connecting to Analysis Services, SaaS functionalities of Power BI.
1.
Installing Power BI, the various requirements and configuration settings
2.
The Power Query, introduction to Query Editor, data transformation – column, row, text, data type, adding & filling columns and number column, column formatting, transpose table, appending, splitting, formatting data
3.
Pivot and UnPivot, Merge Join, relational operators, date, time calculations, working with M functions, lists, records, tables, data types, and generators.
4.
Filters & Slicers, Index and Conditional Columns, Summary Tables, writing custom functions and error handling, M advanced data transformations.
1.
Introduction to Power Pivot, learning about the xVelocity engine, advantages of Power Pivot, various versions and relationships, strongly typed datasets
2.
Data Analysis Expressions, Measures, Calculated Members, Row, Filter & Evaluation Context, Context Interactions, Context over Relations.
3.
Schema Relations, learning about Table, Information, Logical, Text, Iterator, Table, and Time Intelligence Functions, Cumulative Charts, Calculated Tables, ranking and rank over groups.
4.
Power Pivot advanced functionalities, date and time functions, DAX advanced features, embedding Power Pivot in Power BI Desktop.
1.
Deep dive into Power BI data visualization, understanding Power View and Power Map.
2.
Power BI Desktop visualization, formatting and customizing visuals, visualization interaction.
3.
SandDance visualization, deploying Power View on SharePoint and Excel, top down and bottom up analytics, comparing volume and value-based analytics
4.
Working with Power View to create Reports, Charts, Scorecards, and other visually rich formats, categorizing, filtering and sorting data using Power View
5.
Hierarchies, mastering the best practices, Custom Visualization, Authenticate a Power BI web application, Embedding dashboards in applications.
1.
Introduction to Power Q & A, intuitive tool to answer tough queries using natural language.
2.
Getting answers in the form of charts, graphs and data discovery methodologies, ad hoc analytics building
3.
Power Q & A best practices, integrating with SaaS applications
1.
Getting to understand the Power BI Desktop, aggregating data from multiple data sources
2.
How Power Query works in Power BI Desktop environment, learning about data modeling and data relationships, deploying data gateways, scheduling data refresh.
3.
Managing groups and row level security, datasets, reports and dashboards, working with calculated measures.
4.
Power Pivot on Power BI Desktop ecosystem, mastering data visualization.
5.
Power View on Power BI Desktop, creating real world solutions using Power BI
