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Power BI

Analytics with Basic to Advanced SQL

Course Overview

Power BI is a powerful business intelligence tool that helps professionals analyze and visualize data effectively. This training program covers Power BI from basics to advanced along with SQL essentials for data analytics. By the end of this course, learners will be able to create interactive reports and dashboards.

With hands-on practice, students will learn data modeling, DAX functions, Power Query, and real-time data analysis. The course also includes SQL fundamentals to advanced queries for handling complex data structures.

Whether you’re a beginner or an experienced professional, this course is designed to enhance data analysis skills. It is ideal for those looking to advance their careers in data analytics, business intelligence, and reporting.

Learn software skills with real experts, either in live classes with videos or without videos, whichever suits you best.

Course Details:

Course Price:

with videos : ₹ 11,000/-
with out videos : ₹ 7,000/-

Lesson Duration

60 Days

Language:

English

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Description

This course provides an in-depth understanding of Power BI and SQL. Learners will explore how to connect to various data sources, transform data, and build interactive reports. The curriculum includes advanced Power BI concepts, such as data modeling, DAX formulas, and performance optimization.

Alongside Power BI, the training covers SQL from basic to advanced levels, enabling students to work efficiently with databases. They will learn how to retrieve, manipulate, and analyze large datasets using SQL queries.

With real-time projects and expert-led guidance, participants will gain practical experience in handling real-world business data. The course ensures that learners master both Power BI and SQL for effective data-driven decision-making.

Course Objectives

By the end of this training, you will:

  • Master Power BI tools and features for data visualization
  • Learn SQL basics to advanced for data manipulation
  • Understand DAX functions and data modeling
  • Build interactive dashboards and reports
  • Optimize query performance in Power BI
  • Work on real-time business case studies

Prerequisites

  • Basic knowledge of Excel and data analysis is helpful
  • Familiarity with databases and queries is an added advantage
  • No prior coding experience is required

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 ideal for:

  • Beginners & Professionals looking to master Power BI and SQL
  • Data Analysts & Business Intelligence Professionals seeking career growth
  • Finance, Marketing, & HR Professionals handling large datasets
  • Students & Freshers aspiring to enter the analytics domain
  • IT & Non-IT Professionals who want to gain expertise in data visualization

Enroll Now!

Ready to transform your career with Power BI and SQL? Join our Power BI [Analytics with Basic to Advanced SQL] Training in KPHB today!

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FAQ's

Power BI is a business intelligence (BI) and data visualization tool developed by Microsoft. It allows users to connect to data sources, analyze data, and create interactive dashboards and reports.

Power BI is important because:

  • Transforms raw data into meaningful insights using visualizations and reports.
  • Supports multiple data sources – SQL Server, Excel, Azure, Google Analytics, and more.
  • Offers real-time analytics – Helps businesses make data-driven decisions.
  • Provides cloud-based and on-premise solutions – Power BI Service and Power BI Report Server.
  • Integrates with Microsoft tools like Excel, Azure, and Power Automate.

Power BI is widely used in business analytics, finance, sales, marketing, and operations.

Power BI consists of the following components:

  • Power BI Desktop – A Windows application for creating reports and dashboards.
  • Power BI Service – A cloud-based platform for sharing reports and collaboration.
  • Power BI Mobile – Mobile app for viewing reports on the go.
  • Power Query – Data transformation tool for cleaning and preparing data.
  • Power Pivot – Data modeling engine for creating relationships and calculations.
  • Power BI Gateway – Connects on-premise data sources to the cloud.
  • DAX (Data Analysis Expressions) – A formula language used for calculations and measures.

These features help users visualize data, create reports, and gain actionable insights.

Power BI is widely used across industries for data analysis and decision-making:

  • Finance & Banking – Generates financial reports, risk analysis, and forecasting.
  • Retail & E-commerce – Tracks sales, customer behavior, and inventory management.
  • Healthcare – Analyzes patient data and hospital performance metrics.
  • Marketing & Sales – Monitors campaign performance, lead generation, and customer engagement.
  • Supply Chain & Logistics – Optimizes operations and demand forecasting.
  • Human Resources (HR) – Analyzes employee performance and retention trends.

Organizations use Power BI to make data-driven decisions and improve business performance.

Learning Power BI provides several advantages:

  • High demand for Power BI professionals – Businesses rely on data-driven insights.
  • Easy to learn and use – Suitable for beginners and non-technical users.
  • Career growth opportunities – Opens doors to roles in business intelligence and data analytics.
  • Seamless integration with Microsoft tools – Works with Excel, SQL Server, and Azure.
  • Cost-effective business intelligence solution – Power BI has a free version and enterprise plans.

With Power BI skills, you can analyze business data, create dashboards, and generate reports efficiently.

To begin with Power BI, you should have:

  • Basic Excel knowledge – Understanding tables, pivot tables, and formulas.
  • Basic SQL knowledge (optional) – Helps in retrieving data from databases.
  • Understanding of data visualization concepts – Charts, graphs, and KPIs.
  • Problem-solving skills – Helps in analyzing and interpreting business data.

Power BI is beginner-friendly, and even those without technical backgrounds can learn it.

With Power BI expertise, you can apply for:

  • Power BI Developer – Builds dashboards, reports, and data models.
  • Business Intelligence Analyst – Transforms data into meaningful business insights.
  • Data Analyst – Works with Power BI to analyze and visualize data.
  • Power BI Consultant – Helps businesses implement and optimize Power BI solutions.
  • Financial Analyst – Uses Power BI for financial reporting and forecasting.
  • Marketing Analyst – Analyzes campaign performance and customer data using Power BI.

Power BI skills are highly valuable for professionals in business intelligence, finance, and data analytics.

NNV Naresh is an entrepreneur armed with a noble vision to make a difference in the career aspirations of the students. 20+ years of experience in the education sector, Naresh is the founder and the driving force behind the victorious journey of NareshIT.

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