Tableau Course in Patiala
Data analytics and business intelligence skills are in high demand across industries, making a Tableau Course in Patiala invaluable to both students and professionals looking to sharpen their data visualization, dashboard creation and insight-driven reporting skills.
- English
- English, Hindi
Upcoming Batch Weekdays!!!
09:00 am – 1:00 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 in tableau course Gurgaon in palin
- Tableau Interface
- Connecting to Data Sources
- Data Prep & Blending Services
- Calculated Fields & Parameters
- Charts, Graphs & Visual Analytics
- Interactive Dashboards & Stories
- Filters, Actions & Drill-Down Analysis
- Data Visualization Best Practices
- Real-Time Tableau Projects
Our Tableau course in Patiala begins by covering the fundamentals of data connections and basic charts before progressing toward advanced dashboards, storytelling features and real-world business use cases across industries.
Who Can Go for a Tableau Course in Patiala?
- Students & Fresh Graduates Working Professionals Data Analysts MIS Executives Marketing Professionals Finance Teams
- No technical background is necessary – all it takes to get started is an understanding of Excel and an interest in analytics.
Want to Discuss Your Roadmap to Become a Tableau Developer in Patiala?
Our professional mentors can assist in designing a tailored roadmap which may include: SDL Plans; Hands-On Business Projects, Certification Guidance and Career Counseling as well as Resume & Interview Prep services.
At Data Visualization Institute, our flexible learning options, unrestricted batch access, and real-time project exposure allow you to build your career in data visualization with confidence.
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 Master in Tableau Course in Palin Analytics Patiala
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
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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)
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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
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Module 4: Data Visualization in Excel
Creating basic charts (bar charts, line charts, pie charts)
Formatting and customizing charts
Using sparklines for trend analysis
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Module 5: PivotTables and PivotCharts
Introduction to PivotTables
Creating PivotTables for data summarization
Building PivotCharts for visual analysis
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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
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Module 7: 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: Introduction to Tableau
Overview of Tableau
Understanding the Tableau interface
Connecting to data sources
Data source considerations and best practices
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Module 2: Data Preparation and Cleaning in Tableau
Importing and cleaning data
Managing metadata
Joins and relationships
Data blending
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Module 3: Basic Visualization Techniques
Creating basic charts (bar charts, line charts, scatter plots)
Building maps and geographic visualizations
Using size and color in visualizations
Dual-axis charts and combo charts
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Module 4: Intermediate Visualization Techniques
Working with calculated fields
Building hierarchies
Creating sets and groups
Trend lines and reference lines
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Module 5: Advanced Visualization Techniques
Advanced chart types (treemaps, heat maps, box plots)
Dashboard design principles
Storytelling with data
Interactive dashboards and actions
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Module 6: Data Analysis and Calculations
Aggregations and granularities
Window functions
Level of Detail (LOD) expressions
Table calculations
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Module 7: Mapping and Spatial Analysis
Geographic data in Tableau
Customizing maps
Spatial analysis and calculations
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Module 8: Integrating Tableau with Other Tools
Connecting Tableau with Excel, databases, and other data sources
Web data connectors
Tableau integration with R and Python
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Module 9: Data Security and Permissions
User roles and permissions in Tableau
Securing data in Tableau Server and Tableau Online
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Module 10: Tableau Server and Tableau Online
Deploying and managing Tableau Server
Publishing to Tableau Online
Collaboration and sharing in Tableau
What Our Students Say About Us
Palin Analytics
Palin Analytics is a professional analytics training institute dedicated to closing the gap between academic knowledge and industry requirements. Through hands-on sessions, live projects, and expert mentorship we equip learners for successful careers in data analysis and visualization.
FAQ's
A top Tableau course in Patiala should offer an industry-align curriculum, real-world dashboard projects, experienced trainers and job placement support. An interactive learning program focused on business use cases ensures better job readiness and portfolio development.
This course includes Tableau fundamentals, data connections, data blending, calculated fields, advanced visualizations, dashboard design principles, filters, interactive actions and real-time business projects to provide hands-on experience in data visualization.
A Tableau course typically lasts 2-4 months depending on batch type (weekend or weekday), with fees that depend on curriculum depth, project exposure, certification support and placement support – please reach out to institute for current fees details.
Yes, the Patiala Tableau course is appropriate for novice users as it starts with basic concepts before gradually progressing to more complex dashboard creation. Basic Excel knowledge may prove beneficial but is not mandatory.
Yes, upon completion, this course offers a shareable certification along with resume building support, mock interviews, career guidance and placement assistance to assist learners in finding roles in data visualization and business intelligence.