Master Power BI Online: Expert Training Course

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Dur: 60 days
Course fee : 11000 /-

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Power BI

Course Overview

Naresh IT offers top-notch Power BI training, both online and in the classroom, aimed at equipping participants with an in-depth grasp of Microsoft Power BI, a premier business intelligence and data visualization platform. Our course delves into crucial facets of data analysis, visualization, and reporting utilizing Power BI. Through hands-on sessions, students will master the creation of dynamic dashboards, data source connectivity, and the extraction of actionable insights. Join Naresh IT for unrivaled expertise in Power BI.

Description

The Power BI course begins with an introduction to business intelligence and the role of Power BI in transforming raw data into meaningful insights. Participants will learn about the Power BI ecosystem, including Power BI Desktop, Power BI Service, and Power BI Mobile. The course covers topics such as data loading, data transformation, creating visualizations, and sharing reports. Practical examples, hands-on projects, and real-world scenarios will be used to reinforce theoretical concepts.

Course Objectives

The primary objectives of the Power BI course are as follows:

Introduction to Business Intelligence and Power BI: Provide an overview of business intelligence concepts and the features of Power BI.
Power BI Ecosystem: Understand the components of the Power BI ecosystem, including Power BI Desktop, Service, and Mobile.
Data Loading and Transformation: Learn the process of loading data into Power BI and transforming it for analysis and visualization.
Data Modeling: Gain skills in creating data models within Power BI to establish relationships and hierarchies.
Creating Visualizations: Explore the various visualization options in Power BI and create interactive and informative reports and dashboards.
Advanced Analytics: Understand how to leverage advanced analytics features in Power BI, including DAX (Data Analysis Expressions) for calculations.
Power BI Service: Learn about the cloud-based service for sharing, collaborating, and publishing Power BI reports.
Data Connectivity: Explore the options for connecting Power BI to various data sources, including databases, cloud services, and Excel.
Sharing and Collaboration: Understand how to share Power BI reports with others, collaborate on datasets, and use workspaces.
Security and Compliance: Explore security measures and compliance considerations when working with sensitive data in Power BI.

Prerequisites

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Course Curriculum

What is SQL?
What is Database?
Difference between SQL and Database
Types of SQL Commands
Relationships in SQL
Comments in SQL
Alias in SQL
Database Commands
Datatypes in SQL
Table Commands
Constraints in SQL
Operators in SQL
Clauses in SQL
Functions in SQL
JOINS
Set operators
Sub Queries
Views
Synonyms
Case Statements
Window Functions

Power BI Introduction
Power BI Desktop (Power Query, Power Pivot, Power View, Data Modelling)
Power BI Service
Flow of Work in Power BI
Power BI Architecture

Installation through Microsoft Store
Download and Installation of Power BI Desktop

Overview of Power Query Editor
Introduction of Power Query
UI of Power Query Editor
How to Open Power Query Editor
File Tab
Inbuilt Column Transformations
Inbuilt Row Transformations
Query Options
Home Tab Options
Transform Tab Options
Add Column Tab
Combine Queries (Merge and Append Queries)
View Tab Options
Tools Tab Options
Help Tab Options
Filters in Power Query

What is InMemory Columnar database and advantages
What is Traditional database
Difference between InMemory Columnar database and Traditional database
xVelocity In-memory Analytics Engine (Vertipaq Engine)
Data Connectivity modes in Power BI
What is Data Modelling?
What are a Relationships?
Types of Relationships/Cardinalities
One-to-One, One-to-many, Many-to-One, Many-to-Many
Why do we need a Relationship?
How to create a relationship in Power BI
Edit existing relationship
Delete relationship
AutoDetect Relationship
Make Relationship Active or Inactive
Cross filter direction (Single, Both)
Assume Referential Integrity
Apply Security Filter in Both Directions
Dimension Column, Fact Column.
Dimension table, Fact Table
What is Schema?
Types of Schemas and Advantages

What is DAX (Data Analytical Expression)
Basic Syntax of DAX
Difference between New Column, New Measure and New Table
Types of Operators in DAX
DAX Functions – 138

Text Functions – 15
Parent Child Functions – 5
Numeric/Stats/Maths/Trig/Financial Functions - 21
Aggregate Functions – 10
Count Functions – 6
Date and Time Functions – 20
Time Intelligence Functions – 21
Relationship Functions – 4
Filter Functions – 7
Information Functions – 11
Logical Functions – 5
Table Manipulation functions – 13

Introduction to Power View
What and why Visualizations?
UI of Report View/Power View
Difference between Numeric data, Categorical data, Series of data
Difference between Quantitative data and Qualitative data
Categorical data Visuals
Numeric and Series of Data
Tabular Data
Geographical Data
KPI Data
Filtering data
Filters in Power View
Drill Reports
Visual Interactions
Grouping
Sorting
Bookmarks in Power BI
Selection Pane in Power BI
Buttons in Power BI
Tooltips

Power BI Architecture
How to Sign into Power BI Service account
Power Bi Licences (Pro & Premium Licences)
Team Collaboration in Power BI using Workspace
Sharing Power BI Content using Basic Sharing, Content Packs and Apps
Refreshing the Data Source
Deployment Pipelines
Row Level Security (RLS)

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Who can learn this course

This course is suitable for a diverse range of individuals, including:

Business Analysts: Professionals involved in analyzing and interpreting data to derive insights for business decisions.
Data Analysts: Individuals responsible for collecting, processing, and analyzing data to support organizational goals.
IT Professionals: System administrators, database administrators, and IT professionals interested in using Power BI for data analysis.
Report Developers: Professionals involved in creating interactive and visually appealing reports for stakeholders.
Data Scientists: Individuals looking to use Power BI for visualizing and presenting their analytical findings.
Project Managers: Professionals overseeing data-driven projects and seeking a comprehensive understanding of Power BI.
Students and Graduates: Those pursuing degrees in business, data science, or related fields with an interest in data analysis.
Anyone Interested in Data Visualization: Enthusiasts and professionals curious about leveraging Power BI for creating impactful visualizations.

The Power BI course is designed to cater to both beginners and individuals with some experience in data analysis, providing a solid foundation in using Power BI for transforming data into actionable insights.