Spiritsofts offers comprehensive online training for Microsoft Power BI, featuring expert instructors and a real-time project focus to enhance participants' skills. The curriculum covers key components such as data visualization, data modeling, and advanced DAX functions, providing learners with a deep understanding of the Power BI environment. The training emphasizes practical application with 24/7 support and includes various functionalities like data transformation, analytics, and Power Q&A.

1. Microsoft Power BI Online Training
Spiritsofts is the best Training Institutes for Power BI to expand your skills and knowledge. We
Provides the best learning Environment. Obtain all the training by our expert professional which is
having working experience from Top IT companies. The Training in is every thing we explained
based on real time scenarios, it works which we do in companies.
Experts Training sessions will absolutely help you to get in-depth knowledge on the subject.
Power BI Training Course Content
Microsoft Power BI is an amazing business analytics service that enables anyone to visualize and
analyze data. Power BI Online Training by Spiritsofts ✓Live Instructor Led Classes ✓Updated
Course Material ✓24/7 Support ✓Real Time Project ✓Project Scenarios………
Introduction to Power BI
● Introduction to Microsoft Power BI
● The key features of Power BI workflow
● Desktop application
● BI service, and file data sources
● Sourcing data from web (OData, Azure)
● Building dashboard
● Data visualization
● Publishing to cloud
● DAX data computation

2. ● Row context
● Filter context
● Analytics Pane
● Creating columns and measures
● Data drill down and drill up
● Creating tables, binned tables
● Data modeling and relationships
● Power BI components like Power View, Map, Query, Pivot, Power Q&A
● Understanding advanced visualization
Extracting Data
● Learning about Power Query for self-service ETL functionalities
● Introduction to data mashup
● Working with Excel data
● Learning about Power BI Personal Gateway
● Extracting data from files, folders and databases
● Working with Azure SQL database and database source
● Connecting to Analysis Services
● SaaS functionalities of Power BI
Power Query for Data Transformation
● Installing Power BI

3. ● The various requirements and configuration settings
● 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, Pivot and UnPivot
● Merge Join, relational operators, date, time calculations
● working with M functions, lists, records, tables, data types and generators
● Filters & Slicers
● Index and Conditional Columns
● Summary Tables
● Writing custom functions and error handling,
● Advanced data transformations.
Power Pivot for Data Modeling
● Introduction to Power Pivot
● learning about the xVelocity engine
● advantages of Power Pivot
● various versions and relationships

4. ● strongly typed datasets
● Data Analysis Expressions
● Measures
● Calculated Members
● Row
● Filter & Evaluation Context
● Context Interactions
● Context over Relations
● Schema Relations
● learning about Table, Information, Logical, Text, Iterator, Table and Time Intelligence
Functions
● Cumulative Charts, Calculated Tables, Cumulative Charts, ranking and rank over groups
● Power Pivot advanced functionalities
● date and time functions
● DAX advanced features
● embedding Power Pivot in Power BI Desktop.
Data Visualization with Analytics
● Deep dive into Power BI data visualization
● understanding Power View and Power Map
● Power BI Desktop visualization
● formatting and customizing visuals

5. ● visualization interaction
● SandDance visualization
● deploying Power View on SharePoint and Excel
● top down and bottom up analytics
● comparing volume and value-based analytics
● working with Power View to create Reports, Charts, Scorecards and other visually rich
formats
● categorizing, filtering and sorting data using Power View
● mastering the best practices.
Power Q & A
● Introduction to Power Q&A
● intuitive tool to answer tough queries using natural language
● getting answers in the form of charts
● graphs and data discovery methodologies
● ad hoc analytics building
● Power Q&A best practices
● integrating with SaaS applications.
Power BI Desktop & Administration
● Getting to understand the Power BI Desktop
● aggregating data from multiple data sources

6. ● how Power Query works in Power BI Desktop environment
● learning about data modeling and data relationships
● deploying data gateways
● scheduling data refresh
● managing groups and row level security, datasets, reports and dashboards
● working with calculated measures
● Power Pivot on Power BI Desktop ecosystem
● mastering data visualization
● Power View on Power BI Desktop
● creating real world solutions using Power BI.
Power BI Projects
DAX Concepts
● Data Analysis Expressions (DAX) Reference
Data Analysis Expressions (DAX) is a library of functions and operators that can be
combined to build formulas and expressions in Power BI, Analysis Services, and Power Pivot
in Excel data models.
● New DAX functions
● Aggregation functions
● Date and time functions
● Filter functions
● Financial functions

7. ● Information functions
● Logical functions –
● Math and Trig functions
● Other functions
● Parent and Child functions
● Relationship functions
● Statistical functions
● Table manipulation functions
● Text functions
● Time intelligence functions
In this section
● New DAX functions – These functions are new or are existing functions that have been
significantly updated.
● Aggregation functions – These functions calculate a (scalar) value such as count, sum,
average, minimum, or maximum for all rows in a column or table as defined by the
expression.
● Date and time functions – These functions in DAX are similar to date and time functions in
Microsoft Excel. However, DAX functions are based on the datetime data types used by
Microsoft SQL Server.
● Filter functions – These functions help you return specific data types, look up values in
related tables, and filter by related values. Lookup functions work by using tables and

8. relationships between them. Filtering functions let you manipulate data context to create
dynamic calculations.
● Financial functions – These functions are used in formulas that perform financial
calculations, such as net present value and rate of return.
● Information functions – These functions look at a table or column provided as an argument to
another function and returns whether the value matches the expected type. For example, the
ISERROR function returns TRUE if the value you reference contains an error.
● Logical functions – These functions return information about values in an expression. For
example, the TRUE function lets you know whether an expression that you are evaluating
returns a TRUE value.
● Math and Trig functions – Mathematical functions in DAX are similar to Excel’s mathematical
and trigonometric functions. However, there are some differences in the numeric data types
used by DAX functions.
● Other functions – These functions perform unique actions that cannot be defined by any of
the categories most other functions belong to.
● Parent and Child functions – These functions help users manage data that is presented as a
parent/child hierarchy in their data models.
● Relationship functions – These functions are for managing and utilizing relationships
between tables. For example, you can specify a particular relationship to be used in a
calculation.
● Statistical functions – These functions calculate values related to statistical distributions and
probability, such as standard deviation and number of permutations.
● Table manipulation functions – These functions return a table or manipulate existing tables.

9. ● Text functions – With these functions, you can return part of a string, search for text within a
string, or concatenate string values. Additional functions are for controlling the formats for
dates, times, and numbers.
● Time intelligence functions – These functions help you create calculations that use built-in
knowledge about calendars and dates. By using time and date ranges in combination with
aggregations or calculations, you can build meaningful comparisons across comparable time
periods for sales, inventory, and so on.
●