Tableau Courses in Gurgaon
Tableau courses in Gurgaon are increasingly sought-after among students and professionals looking to build careers in data analytics and business intelligence. Learners enrolled in a Tableau course gain practical skills necessary for visualizing data, creating interactive dashboards, communicating insights efficiently to stakeholders, and understanding stakeholder requirements for analytic insights. Reputable institutes in Gurgaon provide 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 Gurgaon, you’ll learn to transform raw data into meaningful visual insights. Starting from basic data connections and charts to advanced dashboards and storytelling with real world business use cases – the journey starts here!
Who Can Go for a Tableau Course in Gurgaon
This Tableau course in Gurgaon is ideal for students, recent graduates, working professionals, data analysts, MIS executives, marketing professionals, finance teams and managers looking to enhance their data visualization skills. There are no pre-requisites; basic Excel knowledge and an interest in analytics suffice.
Want to Discuss Your Roadmap to Become a Tableau Developer in Gurgaon?
Are You Planning on Becoming a Tableau Developer in Gurgaon? If So, Call Our Firm Today for Discussion on Our Roadmap to Success.
Are You Starting or Expanding a Data Visualization Career with Tableau? Our experts offer tailored learning plans covering skill development, hands-on projects, certifications, career guidance, and interview prep in order to help you become a 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 Gurgaon
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
Â
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)
Â
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
Â
Module 4: Data Visualization in Excel
Creating basic charts (bar charts, line charts, pie charts)
Formatting and customizing charts
Using sparklines for trend analysis
Â
Â
Â
Module 5: PivotTables and PivotCharts
Introduction to PivotTables
Creating PivotTables for data summarization
Building PivotCharts for visual analysis
Â
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
Â
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
Â
Module 2: Data Preparation and Cleaning in Tableau
Importing and cleaning data
Managing metadata
Joins and relationships
Data blending
Â
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
Â
Module 4: Intermediate Visualization Techniques
Working with calculated fields
Building hierarchies
Creating sets and groups
Trend lines and reference lines
Â
Module 5: Advanced Visualization Techniques
Advanced chart types (treemaps, heat maps, box plots)
Dashboard design principles
Storytelling with data
Interactive dashboards and actions
Â
Module 6: Data Analysis and Calculations
Aggregations and granularities
Window functions
Level of Detail (LOD) expressions
Table calculations
Â
Module 7: Mapping and Spatial Analysis
Geographic data in Tableau
Customizing maps
Spatial analysis and calculations
Â
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
Â
Module 9: Data Security and Permissions
User roles and permissions in Tableau
Securing data in Tableau Server and Tableau Online
Â
Â
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
Palin Analytics, Gurgaon, is a leading analytics training institute focused on bridging the gap between academic learning and real-world industry needs. Through hands-on training, live projects, and expert mentorship, Palin Analytics helps learners build successful careers in data analytics and visualization.
FAQ's
Tableau is an effective data visualization tool used for analyzing data and creating interactive dashboards. This powerful data tool plays a pivotal role in data analyst careers as it allows professionals to communicate insights more clearly while supporting data-driven decision making processes.
Students, fresh graduates, working professionals, analysts and managers who are interested in data visualization or analytics can enroll in one of these courses in Gurgaon. Anyone without prior technical knowledge can also benefit from learning the program.
Once you complete a Tableau course, your career options include Data Analyst, BI Analyst, MIS Executive, Reporting Analyst or Tableau Developer depending on your analytical knowledge and business expertise.
No programming knowledge is not necessary in order to use Tableau effectively – its user-friendly nature means learning is simple! Basic data concepts and Excel knowledge may speed your progress faster.
Absolutely, Tableau certification adds value to your profile in Gurgaon’s competitive job market by validating your visualization skills and increasing credibility for analytics/BI roles.