𝗨𝗻𝗹𝗲𝗮𝘀𝗵 𝘁𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗼𝗳 𝗗𝗮𝘁𝗮 𝘄𝗶𝘁𝗵 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗢𝗻𝗹𝗶𝗻𝗲 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗮𝘁 𝗡𝗮𝗿𝗲𝘀𝗵-𝗜𝗧!
Enroll now : https://nareshit.com/courses/power-bi-online-training
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.
Learn software skills with real experts, either in live classes with
videos or without videos, whichever suits you best.
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
- Basic
understanding of data analysis concepts.
- Familiarity
with Microsoft Excel and its functions.
- Knowledge
of relational databases and SQL.
- Understanding
of data visualization principles.
- Awareness
of business intelligence (BI) concepts and tools.
- Experience
with basic data modeling and transformation techniques.
Course
Curriculum
SQL (Structured Query Language)
- 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
Introduction to Power BI
- 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
Power
BI Desktop Installation
- Installation through Microsoft
Store
- Download and Installation of
Power BI Desktop
Power
Query Editor / Power Query
- 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
Data
Modelling / Model View
- 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
Power
View / Report View
- 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 Service
- 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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