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Welcome to SpiritSofts, the premier training institute for Best Power BI Online Training and Job Support. We take pride in delivering top-notch training programs that empower individuals with the skills and knowledge needed to excel in the field of Power BI.
Our Best Power BI Online Training is meticulously designed to cater to beginners, intermediate learners, and professionals looking to enhance their expertise. With a team of highly experienced trainers and industry experts, we offer comprehensive and practical training sessions that cover the entire Power BI ecosystem, including data modeling, visualization, DAX calculations, data transformation, and report publishing.
At SpiritSofts, we prioritize a hands-on and practical learning approach, ensuring that our students gain real-world exposure through interactive demonstrations, industry case studies, and practical exercises. Our training methodology combines theoretical concepts with immersive learning experiences, enabling a deep understanding of Power BI's capabilities and functionalities.
In addition to our top-notch training programs, we provide Job Support services to assist our students in their career growth. Our dedicated team of professionals is committed to providing guidance, troubleshooting, and solutions to real-time challenges faced by professionals working with Power BI.
Why choose SpiritSofts for Best Power BI Online Training and Job Support?
Extensive curriculum covering all aspects of Power BI
Seasoned trainers with vast industry experience
Practical hands-on training with real-world projects
Flexible training schedules to suit your needs
Interactive learning environment with personalized attention
Job Support services for enhanced career prospects
Post-training assistance and guidance
Unleash your potential and embark on a successful career journey in Power BI with our Best Power BI Online Training and Job Support. Join SpiritSofts today and gain the skills and expertise to become a Power BI expert.
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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
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
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
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
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
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
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 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.
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.
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