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Dur: 40 days
Course fee : 11000 /-

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.

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:

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

Prerequisites
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)
Who can learn this course

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

  1. Business Analysts: Professionals involved in analyzing and interpreting data to derive insights for business decisions.
  2. Data Analysts: Individuals responsible for collecting, processing, and analyzing data to support organizational goals.
  3. IT Professionals: System administrators, database administrators, and IT professionals interested in using Power BI for data analysis.
  4. Report Developers: Professionals involved in creating interactive and visually appealing reports for stakeholders.
  5. Data Scientists: Individuals looking to use Power BI for visualizing and presenting their analytical findings.
  6. Project Managers: Professionals overseeing data-driven projects and seeking a comprehensive understanding of Power BI.
  7. Students and Graduates: Those pursuing degrees in business, data science, or related fields with an interest in data analysis.
  8. 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.

Average package of course (Power BI)

50% Avg
salary hike
50L Avg
Package
Upcoming Batches
Live Training Batches Timetable
Course Name Faculty Date Time Mode of Training Batch Type Meeting Link
Power BI Miss. Mohana 16 May 8:30 AM (IST) online Online Training
Training Features
Comprehensive Course Curriculum

Elevate your career with essential soft skills training for effective communication, leadership, and professional success.

Experienced Industry Professionals

Learn from trainers with extensive experience in the industry, offering real-world insights.

24/7 Learning Access

Enjoy round-the-clock access to course materials and resources for flexible learning.

Comprehensive Placement Programs

Benefit from specialized programs focused on securing job opportunities post-training.

Hands-on Practice

Learn by doing with hands-on practice, mastering skills through real-world projects

Lab Facility with Expert Mentors

State-of-the-art lab facility, guided by experienced mentors, ensures hands-on learning excellence in every session

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