Best Power BI Course in Patiala
Professional and student learners in Patiala looking to build careers in business intelligence and data visualization have quickly adopted Power BI courses as one of their premier choices for learning. Learning Power BI equips you with essential skills such as data analysis, interactive dashboard creation, insight-driven reporting and data-based business decision-making.
- English
- English, Hindi
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
- Intelligence & Power BI
- Power BI Interface & Architecture
- Data Connectivity & Sources
- Clean & Transform Data With Power Query
- Data Modeling & Relationships
- Data Analysis Expressions (DAX).
- Interactive Reports & Dashboards
- Data Visualization Best Practices
- Power BI Services & Publishing Reports
Exploring Master in Power BI Certification Training in Patiala?
By participating in our Power BI course in Patiala, you will gain hands-on experience in data preparation, modeling, advanced DAX calculations, dashboard design and report publishing – skills necessary for confidently taking on real-world business intelligence challenges.
Who Can Go for a Power BI Course in Patiala?
A Power BI course in Patiala can benefit students, fresh graduates, working professionals, MIS Executives, Data Analysts, Finance Professionals and Business Managers.
No formal prerequisites are necessary – simply having basic knowledge of Excel and an interest in data analysis will suffice to get you underway.
Want to Discuss Your Roadmap to Become a Power BI Developer in Patiala?
Our experts offer customized learning roadmaps based on your career goals. They include skill development plans, hands-on projects, flexible learning options and certification guidance alongside unlimited batch access with expert trainers as well as placement & career support services.
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
- 10 + Batches
- 4.8 Star Rating
- 859 Students Trained
- 450+ Successfully Placed
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 in Patiala
Module 1:Â 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:Â 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:Â 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:Â Data Visualization in Excel
Creating basic charts (bar charts, line charts, pie charts)
Formatting and customizing charts
Using sparklines for trend analysis
Module 5:Â PivotTables and PivotCharts
Introduction to PivotTables
Creating PivotTables for data summarization
Building PivotCharts for visual analysis
Module 6:Â 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:Â Data Analysis with Excel Tables
Introduction to Excel Tables
Sorting and filtering data in tables
Using structured references
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
Module 1:Â Introduction to Power BI
Overview of Power BI
Power BI ecosystem and components
Getting started with Power BI Desktop
Power BI service overview
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Module 2:Â 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
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Module 3:Â Power BI Desktop Essentials
Building and designing reports
Creating visuals (tables, charts, maps, etc.)
Formatting and customizing visuals
Using themes and templates
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Module 4:Â Advanced Data Modeling
DAX (Data Analysis Expressions) fundamentals
Creating calculated columns and measures
Time intelligence functions
Hierarchies and drill-downs
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Module 5:Â 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
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Module 6:Â 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
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Module 7:Â 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
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Module 8:Â 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
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Module 9:Â Power BI Best Practices and Optimization
Performance optimization techniques
Designing efficient data models
Report and dashboard optimization
Best practices for data visualization
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Module 10:Â 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
About Palin Analytics
Palin Analytics is a professional analytics and training institute committed to closing the gap between classroom knowledge and real-world industry requirements. By offering hands-on training, live projects, and expert mentorship for our learners, Palin helps develop strong careers in analytics and business intelligence.
FAQ's
Both tools serve different functions; Excel excels at data entry and basic analysis while Power BI excels at handling large datasets, advanced analytics, interactive dashboards, enterprise reporting and visualisation.
While basic concepts may be grasped quickly, mastery of data modeling, DAX functions and dashboard design requires structured training over multiple weeks and practice in order to succeed.
Absolutely; many entry-level BI and reporting roles require strong Power BI skills for entry-level roles. However, pairing this ability with Excel, SQL or business knowledge greatly expands job prospects and career growth potential.
Many data analytics and reporting roles offer remote or hybrid work options depending on company policies, project requirements, and your experience level.
Yes, freshers can secure Power BI roles by engaging in hands-on training, building strong dashboards, working on real projects and demonstrating practical business intelligence abilities during interviews.