Best Power BI Course in Delhi

Power BI courses have quickly become one of the top learning choices among professionals and students looking to advance their careers in business intelligence and data visualization. Studying Power BI equips learners with essential skills such as data analysis, interactive dashboard creation, insight-driven reporting and business decision-making.

Rated 5 out of 5

Upcoming Batch Weekdays!!!

Starting from Upcoming Weekend!

10:00 am – 12:00 pm Weekends

Fully Interactive Classroom Training

90 Hours Online Classroom Sessions
11 Module 04 Projects 5 MCQ Test
6 Months Complete Access
Access on Mobile and laptop
Certificate of completion

65,000 Students Enrolled

What We Will Learn

Exploring Master in Power BI Certification Training in Delhi?

Through our Power BI course in Delhi, you will gain hands-on experience transforming raw data into visually engaging dashboards and meaningful insights. Starting from data preparation and modeling through to advanced DAX calculations and report publishing, this course prepares you for real world business intelligence challenges.

Who Can Go for a Power BI Course in Delhi

A Power BI course in Delhi is suitable for students, fresh graduates, working professionals, MIS executives, data analysts, finance professionals, and managers who want to enhance their reporting and analytics capabilities. No strict prerequisites are required—basic Excel knowledge and an interest in data analysis are sufficient.

Want to Discuss Your Roadmap to Become a Power BI Developer in Delhi?

Our experts offer tailored learning roadmaps designed specifically to your career objectives.

Skill Development Plans, Hands-On Projects, Flexible Learning Options and Certification Guidance to help you become a Power BI professional are just some of the advantages you’ll enjoy from us – along with many others like unlimited Batch Access from Industry Expert Trainers that Share Certificates so that You Can Learn Anytime Anywhere.

Advantages

Countless Batch Access

Industry Expret Trainers

Shareable Certificate

Learn from anywhere

Career Transition Guidance

Real-Time Projects

Industry Endorsed Curriculum

Interview Preparation Techniques

Class recordings

Course Mentor

Kushal

Hi, I’m Kushal Dwivedi, and I’m excited that you’re here.

Professionally, I am a Data Engineering mentor with strong industry exposure and hands-on experience in building scalable data solutions. I have successfully delivered 10+ batches and trained 859+ students, helping them understand data engineering concepts from fundamentals to advanced levels. With a 4.8-star rating and 450+ successful placements, I focus on practical learning, real-time tools, and industry use cases. In this course, you’ll learn how I combine real-world experience with structured, step-by-step teaching to help you build job-ready data engineering skills.

what is Course Content of Power BI Course Content

Microsoft Excel

Module 1: Introduction to Excel for Analytics

Overview of Excel as an analytics tool

Importance of Excel in data analysis

Excel interface and basic navigation

Module 2: Essential Excel Functions for Data Analysis

Understanding and using basic functions (SUM, AVERAGE, COUNT)

Working with mathematical and statistical functions

Text functions for data cleaning and manipulation

Logical functions (IF, AND, OR)

Module 3: Data Import and Cleaning in Excel

Importing data from various sources (CSV, Excel, databases)

Data cleaning techniques and best practices

Handling missing data

Module 4: Data Visualization in Excel

Creating basic charts (bar charts, line charts, pie charts)

Formatting and customizing charts

Using sparklines for trend analysis

Module 5: PivotTables and PivotCharts

Introduction to PivotTables

Creating PivotTables for data summarization

Building PivotCharts for visual analysis

Module 6: Advanced Excel Functions for Analytics

VLOOKUP and HLOOKUP for data retrieval

INDEX and MATCH functions

Advanced IF statements and nested functions

Using array formulas

Module 7: Data Analysis with Excel Tables

Introduction to Excel Tables

Sorting and filtering data in tables

Using structured references

SQL

Module 1: Introduction to Databases and SQL

Understanding Databases

Definition and types of databases

Relational databases

Non-relational databases

Introduction to SQL

What is SQL?

SQL history and evolution

Importance of SQL in the industry

Module 2: Basic SQL Commands

SELECT statement

Retrieving data from a single table

Filtering data using WHERE clause

Sorting data using ORDER BY clause

INSERT, UPDATE, DELETE statements

Adding, modifying, and deleting data

Data integrity considerations

Module 3: Data Types and Operators

Common SQL data types

Working with text, numeric, and date data

Arithmetic and comparison operators

Module 4: Advanced Querying

JOIN operations

INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN

Cross join and self-join

Subqueries

Nested queries

Correlated subqueries

Set operations

UNION, INTERSECT, EXCEPT

Module 5: Data Filtering and Aggregation

GROUP BY clause

HAVING clause

Aggregate functions (SUM, AVG, COUNT, MIN, MAX)

Module 6: Data Modification

Transactions

COMMIT and ROLLBACK statements

Constraints (PRIMARY KEY, FOREIGN KEY, UNIQUE, CHECK)

Module 7: Views and Indexes

Creating and managing views

Indexes and their impact on performance

Module 8: Stored Procedures and Functions

Creating stored procedures

Input and output parameters

User-defined functions

Module 9: Database Security

User roles and permissions

GRANT and REVOKE statements

Securing sensitive data

Module 10: Best Practices and Optimization

Writing efficient queries

Indexing strategies

Query optimization techniques

Module 11: Introduction to NoSQL Databases

Overview of NoSQL databases

Contrasting SQL and NoSQL

Module 12: Case Studies and Real-world Applications

Analyzing real-world scenarios

Building practical solutions with SQL

Power BI

Module 1: Introduction to Power BI

Overview of Power BI

Power BI ecosystem and components

Getting started with Power BI Desktop

Power BI service overview

Module 2: Data Sources and Data Transformation

Connecting to different data sources (Excel, databases, cloud services)

Loading and transforming data using Power Query Editor

Data modeling and relationships

Module 3: Power BI Desktop Essentials

Building and designing reports

Creating visuals (tables, charts, maps, etc.)

Formatting and customizing visuals

Using themes and templates

Module 4: Advanced Data Modeling

DAX (Data Analysis Expressions) fundamentals

Creating calculated columns and measures

Time intelligence functions

Hierarchies and drill-downs

Module 5: Power BI Service and Collaboration

Publishing reports to Power BI service

Creating and sharing dashboards

Setting up and managing workspaces

Collaboration features and sharing options

Module 6: Power BI Data Insights

Creating and using Quick Insights

Analyzing data trends and patterns

Building advanced analytics with AI visuals

Exploring and interpreting data insights

Module 7: Power BI Integration

Integrating Power BI with Excel

Embedding Power BI reports in other applications

Using Power BI REST API for automation

Power BI and Azure integration

Module 8: Power BI Administration and Security

Power BI Gateway setup and configuration

Managing data refresh schedules

Implementing row-level security

Monitoring and managing Power BI workspaces

Module 9: Power BI Best Practices and Optimization

Performance optimization techniques

Designing efficient data models

Report and dashboard optimization

Best practices for data visualization

Module 10: Power BI Certification and Next Steps

Overview of Power BI certifications

Exam preparation tips and resources

Continuing learning paths and resources

What Our Students Say About Us

"The hands-on data pipeline projects and cloud exposure helped me understand real-world data engineering challenges and apply concepts confidently at work."

"Learning Spark, ETL pipelines, and cloud concepts through real projects strengthened my data engineering skillset significantly."

"The practical approach to building scalable data systems made this course extremely relevant for enterprise-level analytics projects."

"The transition from analytics to data engineering became smoother thanks to the structured curriculum and mentoring support."

About Palin Analytics

Palin Analytics in Delhi is an analytics and professional training institute dedicated to connecting classroom learning with real-life industry requirements. Offering hands-on training sessions, real-life projects and expert mentorship services, Palin Analytics helps learners build successful careers in analytics and business intelligence.

FAQ's

Is Power BI better than Excel?

Both tools serve different functions. Excel excels at data entry and basic analysis while Power BI excels in handling large datasets, advanced analytics, interactive dashboards, enterprise reporting, and visualization.

Can I learn Power BI in 3 hours?

Basic Power BI concepts may be grasped quickly; however, mastery of data modeling, DAX programming and dashboard creation require structured training over several weeks and practice in real life scenarios.

Can I get a job with Power BI only?

Absolutely; many entry-level BI and reporting roles require advanced Power BI skills for entry. However, adding other tools like Excel, SQL or business acumen greatly expands job prospects and career advancement.

Is Power BI a remote job?

Many reporting and analytics positions feature remote or hybrid work options depending on company policies, project requirements and experience level.

Can a fresher get a job in Power BI?

Absolutely. Freshers can secure roles within Power BI by participating in hands-on training courses and working on real projects while creating strong dashboards and reports which demonstrate practical business intelligence abilities.

Best Power BI Course in Delhi

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