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Master In Tableau

Unlock the power of data with our Tableau and SQL Masterclass in Gurgaon! This comprehensive course is designed for data enthusiasts and professionals seeking in-depth training in Tableau and SQL. Dive into the world of data visualization, harnessing the capabilities of Tableau, and mastering SQL for seamless data analysis.

Learn to leverage industry-leading tools such as SQL,  Tableau, and understand how to extract actionable insights from complex datasets.

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Upcoming Batch !!!

Starting from Upcoming Saturday

10:00 am – 2:00 pm

  • 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 Tableau Training in Gurgaon?

Learning both Tableau and SQL can significantly enhance your skills as a data analyst, as they serve complementary roles in the data analysis process, training imparted by Palin Analytics Gurgaon will be the best fit as It is a powerful data visualization tool that allows you to create interactive and dynamic visualizations from your data. Tableau makes it easy to explore and present insights in a visually compelling manner. It excels in visual analytics, enabling you to create a wide range of charts, dashboards, and reports. Tableau’s strength lies in its ability to convey complex insights through interactive visualizations.

In summary, learning Tableau and SQL equips you with a comprehensive skill set for data analysis. SQL helps you manage and manipulate data efficiently, while Tableau empowers you to visually communicate insights, making you a well-rounded and effective data analyst.

Who can go for this

Tableau training is designed to be accessible to individuals with varying levels of technical expertise, from beginners to advanced users. The training typically covers the basics of using Tableau, as well as advanced features for creating complex visualizations and dashboards. Whether you are looking to advance your career, enhance your analytical skills, or simply explore the world of data visualization, Tableau training can be a valuable investment.

Want to discuss your roadmap to be a Data Scientist?

Are you interested in pursuing a career as a data analyst, it’s essential to create a roadmap that outlines the key steps and milestones along the way. Becoming a data analyst using Tableau and SQL involves acquiring a combination of technical and analytical skills. Join us for an inspiring conversation in our head office which is in gurgaon where we will deep dive into your own journey and discuss the clear cut roadmap to become a business analyst. Let’s start the journey to be a data scientist in the exciting world of data science together!


Countless Batch Access

Learn from anywhere

Industry Endorsed Curriculum

Industry Expret Trainers

Career Transition Guidance

Interview Preparation Techniques

Shareable Certificate

Real-Time Projects

Class recordings

Course Mentor

Vinay mukund

Hi I am Vinay and I am super excited that you are reading this.

I’m thrilled to reach out to you as the lead trainer for our upcoming Business Analytics Mastery course. As someone passionate about the transformative power of data, I believe this program will not only enhance your skills but also open new doors to exciting opportunities in the world of business analytics.

From this course you will get to know how I combine my working knowledge, experience and qualification background in computer science to deliver training step by step.  

Course Content


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


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


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


Cross join and self-join


Nested queries

Correlated subqueries

Set operations



Module 5: Data Filtering and Aggregation

GROUP BY clause

HAVING clause

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


Module 6: Data Modification


COMMIT and ROLLBACK statements



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


Module 2: Data Preparation and Cleaning in Tableau

Importing and cleaning data

Managing metadata

Joins and relationships

Data blending


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


Module 4: Intermediate Visualization Techniques

Working with calculated fields

Building hierarchies

Creating sets and groups

Trend lines and reference lines


Module 5: Advanced Visualization Techniques

Advanced chart types (treemaps, heat maps, box plots)

Dashboard design principles

Storytelling with data

Interactive dashboards and actions


Module 6: Data Analysis and Calculations

Aggregations and granularities

Window functions

Level of Detail (LOD) expressions

Table calculations


Module 7: Mapping and Spatial Analysis

Geographic data in Tableau

Customizing maps

Spatial analysis and calculations


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


Module 9: Data Security and Permissions

User roles and permissions in Tableau

Securing data in Tableau Server and Tableau Online



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

Vishal KumarVishal Kumar
09:41 15 Dec 23
Palin Analytics provides excellent support and resources throughout the Data Science Training. From comprehensive study materials to a responsive support team, I always felt well-equipped to tackle each module. The platform was user-friendly, enhancing the overall learning experience. I enrolled in Data Science course in Gurgaon location, my overall experience was awesome.
ramprakash kushwaharamprakash kushwaha
09:37 15 Dec 23
Palin Analytics’ Data Science training is a fantastic choice for anyone looking to enter or advance in the field. The comprehensive curriculum, coupled with expert instruction and practical applications, equips participants with the skills needed in today’s data-driven world. I highly recommend Palin Analytics Gurgaon for anyone serious about pursuing a career in Data Science.
Bijendra SinghBijendra Singh
09:32 15 Dec 23
I highly recommend Palin Analytics for anyone seeking top-notch data engineering training in gurgaon location. The dedication to providing quality education is evident throughout the program. The instructors at Palin Analytics are true industry experts. Their deep understanding of data engineering, coupled with their passion for teaching, creates an engaging and enriching learning experience. They are not just instructors but mentors who guide you every step of the way.The interactive nature of the classes fosters an environment of collaboration and knowledge sharing. The peer-to-peer interactions, group discussions, and collaborative projects added immense value to the learning process. It truly feels like a community of learners all striving for excellence.
Neha KashyapNeha Kashyap
08:37 15 Dec 23
The course content was exceptionally well-structured, covering all essential aspects of SAP FICO training in gurugram. From fundamentals to advanced topics, each module was presented with clarity and depth, making complex concepts easy to grasp. The hands-on exercises and real-world scenarios further enhanced my understanding.
16:53 25 Nov 23
I am thrilled to share my profound satisfaction with the Data Engineering training program at Palin Analytics. This experience has been nothing short of exceptional, and I am genuinely grateful for the depth of knowledge and skills I’ve gained.Palin Analytics has crafted a curriculum that not only covers the fundamentals of data engineering but delves into advanced topics, ensuring a comprehensive understanding of the field. The inclusion of emerging technologies and industry-relevant tools demonstrates a commitment to staying at the forefront of the rapidly evolving data landscape.
07:01 25 Nov 23
Palin Analytics goes beyond just providing education; they facilitate networking opportunities within the data engineering community. The connections I’ve made with fellow learners and industry professionals have been invaluable, opening doors to new insights and potential collaborations.As a result of this program, I feel confident in my ability to tackle complex data engineering challenges in a professional setting. The practical skills gained are directly applicable, and I can see the immediate impact on my work.
Manish KumarManish Kumar
06:48 25 Nov 23
I recently completed the Data Engineering training program with Palin Analytics, and I cannot express how impressed I am with the quality of the course and the expertise of the instructors.The course covers a wide range of topics, providing a thorough understanding of data engineering concepts and tools.Palin Analytics has built a supportive community of learners. The peer interactions and networking opportunities were enriching.I highly recommend Palin Analytics for anyone seeking top-notch data engineering training. The dedication to providing quality education is evident throughout the program.
Vardhaman KanodiaVardhaman Kanodia
06:27 25 Nov 23
I recently had the privilege of completing the Data Engineering training program at Palin Analytics, and the journey has been nothing short of transformative.The course content is exceptionally well-structured, covering a comprehensive range of data engineering principles and cutting-edge technologies. From foundational concepts to advanced techniques, the curriculum is designed to provide a holistic understanding of the field.What sets Palin Analytics apart is their commitment to practical application. The hands-on projects were instrumental in solidifying theoretical knowledge, and the real-world scenarios presented challenged me to think critically and creatively. The emphasis on practical skills ensures that graduates are not only knowledgeable but also industry-ready.

Palin Analytics

We are dedicated to empowering professionals as well as freshers with the skills and knowledge which is needed to upgrade in the field of Data Science. Whether you’re a beginner or a professional, our structured training programs are well designed to handle all levels of expertise.

Are you ready to explore your Data Science adventure? Watch a live recorded demo video now and discover the endless possibilities way of teaching, way of handling queries. Awaiting for you at Palin Analytics!

Student feedback

4.5 OUT OF 5


1 year ago

Kushal is a good instructor for Data science. He cover all real world projects. He provided very good study materials and high support provided by him for interview prepration. Overall best online course for Data Science. 

Deepak Jaiswal

1 year ago

This is a very good place to jump start on your focus area. I wanted to learn python with a focus on data science and i choose this online course. Kushal who is the faculty, is an accomplished and learned professional. He is a very good trainer. This is a very rare combination to find. 


Thank you Deepak…

Add Reviews about your experience with us.


Business Analytics is a discipline that involves the use of data analysis and statistical methods to make informed business decisions and drive strategic planning. It leverages various techniques, tools, and technologies to extract actionable insights from raw data, enabling organizations to optimize their operations, identify trends, and gain a competitive advantage.

Becoming a data analyst using Tableau and SQL involves acquiring a combination of technical and analytical skills.

Along with the high quality training you will get a chance to work on real time projects as well, with a proven record of high placement support.  We Provide one of the best online data science course.

Its  Live interactive training, Ask your quesries on the go, no need to wait for doubt clearing.

you will have access to all the recordings, you can go through the recording as many times as you want.

During the training and after as well we will be on  the same slack channel, where trainer and admin team will share study material, data, project, assignment.

SQL (Structured Query Language) is a popular language used for managing and manipulating relational databases. The difficulty of learning SQL depends on your previous experience with programming, databases, and the complexity of the queries you want to create. Here are a few factors that can affect the difficulty of learning SQL:

  1. Prior programming experience: If you have experience with other programming languages, you may find it easier to learn SQL as it shares some similarities with other languages. However, if you are new to programming, it may take you longer to grasp the concepts.

  2. Familiarity with databases: If you are familiar with databases and data modeling concepts, you may find it easier to understand SQL queries. However, if you are new to databases, you may need to spend some time learning the basics.

  3. Complexity of queries: SQL queries can range from simple SELECT statements to complex joins, subqueries, and window functions. The complexity of the queries you want to create can affect how difficult it is to learn SQL.

Overall, SQL is considered to be one of the easier programming languages to learn. It has a straightforward syntax and many resources available for learning, such as online courses, tutorials, and documentation. With some dedication and practice, most people can learn the basics of SQL in a relatively short amount of time.

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