Tableau Course in Delhi
Tableau Training in Delhi Data analytics and business intelligence courses offered in Delhi have become increasingly popular with both students and professionals seeking careers in data analysis or BI. A Tableau course equips learners with practical tools for visualizing data, creating interactive dashboards, communicating insights effectively to stakeholders and creating real world applications of Tableau analytics. Top institutes in the capital offer industry-align training programs designed specifically to address real world analytics requirements.
- 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
At our Tableau course in Delhi, you’ll learn to turn raw data into meaningful visual insights. Starting with simple charts and data connections, the course gradually moves on to more advanced dashboards, storytelling features, storytelling tools and real world use cases across industries.
Want to Discuss Your Roadmap to Become a Tableau Developer in Delhi?
Do You Wish to Plan or Advance Your Data Visualization Career Utilizing Tableau? If this sounds like your situation then give me a call right now so we can talk through how best you can start or advance this path towards becoming one!
Our experts help you design a tailored roadmap including skill development, hands-on projects, certifications, career guidance and interview preparation to become a thriving Tableau professional.
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 Delhi
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
Data Analytcs Demo classes in Palin Analytics
A Tableau course in Delhi can benefit students, fresh graduates, working professionals, data analysts, MIS executives, marketing professionals and finance teams looking to enhance their data visualization abilities. No prior technical knowledge is needed – basic Excel understanding suffices!
FAQ's
Tableau training costs vary in Delhi depending on course depth, trainer expertise and project exposure. On average fees typically range between Rs15,000-Rs40,000 with programs offering live projects, certification support or placement assistance typically having higher fees associated with them.
While basic Tableau concepts like charts, filters and dashboards may be grasped within two days, for optimal learning it is recommended that structured training over several weeks be pursued for greater professional level skills development as well as real world dashboard experience.
A quality Tableau course in Delhi should feature an industry-align curriculum with hands-on dashboards and real world datasets as well as experienced trainers offering interview preparation support and offering courses with emphasis on practical learning through business use cases resulting in greater job readiness upon graduation.
 Yes. Tableau is far superior in this respect to its rival in that it specializes in data storytelling, real-time analytics and providing decision-maker with insight. While Excel may excel when manipulating raw data sets directly, Tableau excels when used for storytelling real time analytics or communicating insights to decision-makers.
No coding knowledge is necessary when learning Tableau, since its user-friendly drag-and-drop tool was specifically created with non-programmers in mind. However, basic SQL knowledge or data concepts may come in handy when working with complex datasets or enterprise sources.