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Business Intelligence · Beginner to Intermediate

Tableau in Chennai

Master Tableau in Chennai — move into Data Analyst roles paying ₹6–11 LPA, rising to ₹18L at senior level.

★★★★★ 4.7 Google
✓Instructor-led live sessions
✓Trainers with 15+ years industry experience
✓Hands-on cloud labs and coding playground
✓Industry-specific projects — AI-graded, trainer-validated
✓Industry-recognised certification, LinkedIn-shareable
👤
40,000+
Professionals trained
🏢
350+
Enterprise clients
Next batch: 14 Nov 2026Filling Fast
Tableau Desktop
Business Intelligence
Tableau
Tableau DesktopTableau Prep BuilderTableau Public
₹16,800 ₹28,000 40% off
⏰ ⚡ Flash sale · 40% off · EMI from ₹1,517/mo
Next batch 14 Nov 2026
🎓 Virtual Instructor-led
What's Included
🎓
Instructor-led sessions
🧪
Hands-on labs
🎯
Capstone project
🏆
GI Certificate

Trusted by leading enterprises

Upcoming Batches

Open-house batches for individuals — enroll directly. Training a team? Request an enterprise quote →

Weekday Weekend ⏱ Total duration: 32 hours
DatesScheduleModeDurationPrice
14 Nov – 06 Dec 2026
Saturday
all session dates
10:00 AM–2:00 PM IST 🎓 Virtual Instructor-led🗓️ Weekends | Half days 4 weekends ₹16,800
₹28,000
Session datesWeekend batch
Sat 14 NovSun 15 NovSat 21 NovSun 22 NovSat 28 NovSun 29 NovSat 5 DecSun 6 Dec
16 Nov – 19 Nov 2026
Monday
all session dates
9:30 AM–5:30 PM IST 🎓 Virtual Instructor-led🗓️ Weekdays | Full days 4 days ₹16,800
₹28,000
Session datesWeekday batch
Mon 16 NovTue 17 NovWed 18 NovThu 19 Nov
07 Dec – 13 Jan 2027
Monday
all session dates
8:00 PM–10:00 PM IST 🎓 Virtual Instructor-led🗓️ Weekdays | Evenings 16 sessions ₹16,800
₹28,000
Session datesWeekday batch
Mon 7 DecWed 9 DecFri 11 DecMon 14 DecWed 16 DecFri 18 DecMon 21 DecWed 23 DecMon 28 DecWed 30 DecFri 1 JanMon 4 JanWed 6 JanFri 8 JanMon 11 JanWed 13 Jan
Enterprise
Custom Date
Custom Schedule
Your timing & location
⚡ Any Mode Flexible Custom pricing

Can't find a suitable batch? Contact us

Soaring Demand — and Where It Takes You

Real salaries
Min, average, max by role
Real hiring companies
Who's actually recruiting
among the fastest-growing professional roles
Business intelligence roles, including those requiring Power BI and data visualization skills, are projected to grow significantly as companies prioritize data-driven decision-making. · NASSCOM

Business intelligence has become core enterprise infrastructure, and the people who can model data properly — not just build dashboards — are the ones organisations compete to hire.

Roles this programme prepares you for
Business Intelligence AnalystData AnalystReporting AnalystData Visualization AnalystBusiness AnalystOperations AnalystMarketing AnalystFinancial Analyst

Become a Business Intelligence Analyst

Build dashboards and reports connecting diverse data sources to drive executive decision-making.

Average Salary* · Entry · 0–2 years exp
₹4L
Min
₹5L
Average
₹6L
Max
Hiring Companies

Become a Data Analyst

Extract insights from raw data through visualization and calculated analysis to inform business strategy.

Average Salary* · Mid-level · 3–6 years exp
₹6L
Min
₹8L
Average
₹11L
Max
Hiring Companies

Become a Reporting Analyst

Design automated reports and dashboards tracking key metrics across organizational systems.

Average Salary* · Senior · 7+ years exp
₹11L
Min
₹14L
Average
₹18L
Max
Hiring Companies
45%
Year-on-year growth in open BI analyst positions
· LinkedIn Jobs Report
2.3L+
Active job postings for BI professionals
· Indeed India Analytics
8-14L
Annual compensation for mid-level BI developers
· Payscale India
18-28L
Senior BI architect salary range per annum
· Glassdoor India Salary Report
62%
Organizations actively recruiting BI talent
· Monster India Tech Report
3.2L
Entry-level BI job openings annually
· NASSCOM Tech Talent Report
28%
Average salary increase at promotion to senior role
· LinkedIn Salary Insights India
5.8 yrs
Average time to senior BI analyst position
· Ambition Box Career Study
78%
Enterprises investing in advanced analytics platforms
· Forrester Wave: Business Intelligence
91%
IT decision-makers prioritizing data-driven tools
· Gartner CIO Survey India
Top 3
Python, SQL, Tableau most in-demand skills
· HackerRank Developer Skills Report
52%
Demand surge for cloud BI platform expertise
· Cloud Jobs Report India

* Salary figures sourced from AmbitionBox (2026-Q2). Indicative — actual pay varies by city, company and experience.

About This Course

This Tableau course guides beginners and intermediate learners through the full data visualization workflow, from connection to dashboard design. You'll master Tableau Desktop's workspace, shelves, and Marks card, then progress to connecting live data sources, preparing and cleaning information with Tableau Prep Builder, and building publication-ready dashboards across Tableau Desktop, Tableau Public, and Tableau Cloud.

Designed for Business Intelligence Analysts, Data Analysts, and Reporting Analysts, this course equips you to create interactive visualizations including scatter plots, heat maps, dual-axis charts, and maps. You'll write calculated fields and table calculations, apply filtering strategies, and design responsive dashboards optimized for desktop, tablet, and mobile devices—building the core skills to turn raw data into compelling, actionable insights.

Who Should Attend

The job roles this programme is built for.

Business Intelligence Analyst
Master Tableau end-to-end: data connections through interactive dashboards.
Data Analyst
Learn data preparation, calculations, and visualization techniques in Tableau.
Reporting Analyst
Build professional reports and dashboards with Tableau Desktop and Cloud.
Business Analyst
Connect data sources and create insights with filters, parameters, and analytics.
Marketing Analyst
Visualize campaigns and performance with maps, charts, and interactive dashboards.
Excel user seeking advanced skills
Progress from spreadsheets to visual analytics with Tableau fundamentals.
PrerequisitesBasic familiarity with spreadsheet applications such as Microsoft Excel · Comfort working with tabular data including rows, columns, and basic aggregations · No prior Tableau experience required

What You Will Learn

✓Navigate the Tableau Desktop workspace, shelves, and Marks card effectively
✓Connect to Excel, databases, and text files with live connections and extracts
✓Prepare and clean data using Data Interpreter, split, and pivot operations
✓Build relationships, joins, unions, and blends across multiple data sources
✓Design and execute cleaning flows in Tableau Prep Builder with aggregation and pivot steps
✓Create core chart types including scatter plots, heat maps, Gantt charts, and dual-axis charts
✓Apply context filters and cross-sheet filters to guide analysis and interactivity
✓Write calculated fields using string, date, number, and logical functions
✓Build table calculations including running totals, moving averages, and rank expressions
✓Create interactive dashboards optimised for desktop, tablet, and mobile layouts

Skills You Will Gain

Foundations & Data
Navigate workspace & Marks card
Connect data sources
Prepare & clean data
Combine tables & blends
Analysis & Calculations
Build core charts
Apply filters & groups
Write calculated fields
Table calculations & LOD
Visualisation & Delivery
Create maps & analytics
Design dashboards
Build stories
Publish & share

Tools & Platforms Covered

Tableau Desktop
Tableau Prep Builder
Tableau Public
Tableau Cloud
Tableau Server
Microsoft Excel
PostgreSQL

Course Curriculum

13 modules · hands-on labs · 1 capstone project · 32 hours

M01 Tableau Basics and the Workspace
5 topics · 2 hrs ▼
  • Visual analytics and the Tableau workflow
  • Tableau Desktop, Prep, Public and Cloud overview
  • The workspace, shelves and Marks card
  • Dimensions and measures
  • Discrete and continuous fields
🧪 Hands-on Build a simple bar and line chart exploring a sample sales dataset by dragging dimensions and measures onto shelves and experimenting with discrete and continuous field types.
Skills Tableau Desktop workspace Dimensions and measures Discrete vs continuous fields Tableau product suite
M02 Connecting to and Preparing Data
6 topics · 3 hrs ▼
  • Excel, text and database connections
  • Custom SQL queries
  • Live connections, extracts and extract filters
  • Data types, aliases, folders and renamed fields
  • Checking data quality
  • Cleaning with Data Interpreter, split and pivot
🧪 Hands-on Build a clean, analysis-ready data source by connecting to an Excel file, writing a custom SQL query, creating an extract with filters, and fixing data quality issues using Data Interpreter, split and pivot.
Skills Data source connections Live connections and extracts Data Interpreter Field management
M03 Combining Data Sources
6 topics · 2 hrs ▼
  • Relationships between tables
  • Joins
  • Unions
  • Data blending
  • Choosing between relationships, joins and blends
  • Replacing a data source
🧪 Hands-on Build a multi-table data model using relationships, joins and a union, then blend a secondary data source to compare results across combining methods.
Skills Table relationships Joins and unions Data blending Data source management
M04 Cleaning and Shaping Data with Tableau Prep
6 topics · 3 hrs ▼
  • The Prep Builder workspace and flows
  • Profiling and cleaning fields
  • Unions and joins in a flow
  • Aggregating and pivoting steps
  • Filtering and calculated fields in a flow
  • Saving outputs and scheduling a flow
🧪 Hands-on Build a Tableau Prep flow that ingests two raw CSV files, cleans and pivots the data, adds a calculated field, and outputs a clean extract ready for Tableau Desktop.
Skills Tableau Prep Builder Prep flows Data profiling Aggregation and pivot steps
M05 Core Charts and the Marks Card
6 topics · 2 hrs ▼
  • Show Me and the main chart types
  • Colour, size, label, detail and tooltip
  • Text tables, highlight tables and treemaps
  • Scatter plots, histograms and box plots
  • Dual-axis and combination charts
  • Bullet charts, Gantt charts and heat maps
🧪 Hands-on Build a workbook of seven chart types — including a scatter plot, histogram, dual-axis chart and heat map — using the Marks card to control colour, size, label and tooltip on each.
Skills Marks card encoding Core chart types Dual-axis charts Show Me panel
M06 Filters, Sorting, Groups and Dates
6 topics · 3 hrs ▼
  • Filter types, context filters and filters across sheets
  • Sorting including custom sorts
  • Groups, bins and hierarchies
  • Sets and Top N views
  • Date parts, date values and time series
  • Animating change with the Pages shelf
🧪 Hands-on Build a time-series sales view that uses context filters, a Top N set, a date hierarchy with drill-down, custom sort, and a Pages shelf animation to show monthly change over time.
Skills Filter types and context Groups, bins and hierarchies Sets and Top N Date and time-series views
M07 Calculated Fields
5 topics · 2 hrs ▼
  • Row-level versus aggregate calculations
  • String, date, number and type-conversion functions
  • Logical IF and CASE expressions
  • Ratios and custom aggregations
  • Ad hoc calculations in the view
🧪 Hands-on Build a profit-analysis view powered by calculated fields including a row-level margin flag, a CASE-based category label, a ratio KPI and an ad hoc calculation added directly in the view.
Skills Row-level calculations Aggregate calculations Logical expressions String and date functions
M08 Table Calculations and LOD Expressions
6 topics · 3 hrs ▼
  • Quick table calculations
  • Running totals, percent of total, moving averages and rank
  • Year-to-date and year-over-year comparisons
  • Percentile, index and compound growth calculations
  • Custom table calculations and how they compute
  • FIXED, INCLUDE and EXCLUDE expressions
🧪 Hands-on Build an executive sales summary that combines a running total, a year-over-year percent change, a moving average trend, and FIXED and EXCLUDE LOD expressions to compare regional and overall performance.
Skills Table calculations LOD expressions Year-over-year analysis Running totals and rank
M09 Parameters and Built-in Analytics
7 topics · 3 hrs ▼
  • Parameters in calculations, filters and reference lines
  • Totals, subtotals, reference lines and bands
  • Trend lines
  • Forecasting
  • Clustering
  • Predictive modelling functions
  • Comparing measures against a goal
🧪 Hands-on Build an interactive analytics view where a parameter controls a dynamic reference line goal, a trend line and forecast project future sales, and a clustering layer segments customers automatically.
Skills Parameters Trend lines and forecasting Clustering Reference lines and bands
M10 Maps and Location Analysis
6 topics · 2 hrs ▼
  • Geographic roles and automatic geocoding
  • Symbol and filled maps
  • Density maps
  • Latitude, longitude and custom locations
  • Polygon maps and background images
  • Dual-axis maps
🧪 Hands-on Build a dual-axis map that layers a filled regional map with a density symbol layer, adds custom latitude and longitude locations, and uses a background image for an office-floor spatial view.
Skills Geographic roles Symbol and filled maps Density maps Dual-axis maps
M11 Dashboards and Interactivity
6 topics · 3 hrs ▼
  • Dashboard layout with containers and objects
  • Designing for desktop, tablet and phone
  • Filter, highlight and URL actions
  • Swapping sheets with parameters
  • Navigation buttons and guiding text
  • Annotations, custom shapes and colour palettes
🧪 Hands-on Build a three-layout dashboard with tiled containers, filter and highlight actions, a parameter-driven sheet swap, navigation buttons and a branded colour palette optimised for desktop, tablet and phone.
Skills Dashboard layout Dashboard actions Multi-device design Custom shapes and palettes
M12 Stories, Design and Sharing
6 topics · 3 hrs ▼
  • Building a story
  • Formatting and design best practices
  • Keeping workbooks fast
  • Printing and exporting
  • Publishing workbooks and data sources to Tableau Public and Tableau Cloud
  • Scheduling refreshes, alerts and subscriptions
🧪 Hands-on Build a polished Tableau story from an existing dashboard, apply formatting best practices, publish the workbook to Tableau Cloud with a scheduled extract refresh, and configure an email alert.
Skills Tableau Stories Tableau Cloud publishing Performance optimisation Scheduled refreshes
M13 Capstone Project
2 topics · 1 hr ▼
  • Choose a project theme with your trainer
  • Build it end to end in Tableau Desktop
Skills Project Scoping End-to-End Delivery Presenting Findings

Hands-On Projects

Every batch includes guided labs, case studies and a capstone — applied to real-world problems.

Project themes may include
✓Regional Sales Performance Dashboard
✓Customer Segmentation and Trend Analysis
✓Time-Series Forecast with Clustering
✓Multi-Source Financial Reconciliation
✓Geographic Market Density Mapper
✓Interactive KPI Story with Alerts
Project work is tailored to each cohort and the latest industry practice.
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  • Direct trainer connect after the programme
  • Ongoing support from the GI team
Curriculum Updated Quarterly
  • Built around tools and practices used in production today
  • New techniques incorporated as the technology landscape evolves
  • Labs, projects and case studies refreshed every quarter
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Frequently Asked Questions

Which companies in Chennai hire Tableau professionals? +
Major companies in Chennai and across India that hire Tableau professionals include TCS, Infosys, Wipro, HCL Technologies, and various financial services and e-commerce firms. Additionally, numerous consulting firms and analytics-focused startups actively recruit skilled Tableau professionals in the Chennai region.
Is this course available as classroom training in Chennai? +
We offer live online instructor-led training (VILT) that you can join from Chennai. For teams, we also provide on-site training options at your organization's location in Chennai. Contact our training team to discuss customized on-premises delivery for your group.
Can I take this course from Chennai online? +
Yes, absolutely. You can join our live online Tableau course from anywhere in Chennai. We schedule batches at convenient times that align with Indian Standard Time (IST) to accommodate working professionals and students in the region.
How does Chennai compare to other markets for these jobs? +
Chennai is a growing hub for data analytics and business intelligence roles, with strong demand from IT services, financial institutions, and manufacturing sectors. The market for Tableau professionals is competitive, with opportunities comparable to other tier-1 Indian cities, offering good career growth potential for skilled practitioners.
What will I learn in this Tableau course? +
You'll learn to connect data sources like Excel and databases, prepare data with Tableau Prep Builder, and build interactive dashboards. The curriculum covers the full workflow from data connection through visualization design, calculations, and publishing.
Does the course cover Tableau Desktop and Tableau Cloud? +
Yes. You'll work with Tableau Desktop for building visualizations and dashboards, and Tableau Cloud for publishing and sharing your work.
Will I learn to write calculations in Tableau? +
Yes. The course teaches calculated fields with string and date functions, table calculations, LOD expressions, and parameters. You'll also learn compound growth calculations and year-over-year comparisons.
Is hands-on practice included? +
Yes. The course is live and instructor-led with hands-on cloud labs. You'll build analysis views, design interactive dashboards, and work with real datasets throughout.
What data sources can I connect to? +
You'll learn to connect to Excel, databases, and text files. The course also covers live connections, extract filters, and custom SQL queries.
Will I learn to prepare and clean data? +
Yes. You'll use Tableau Prep Builder to design cleaning flows, prepare datasets, and check data quality. The Data Interpreter helps automate field cleaning and data type detection.
Does the course teach mapping and geographic analysis? +
Yes. You'll build symbol maps, filled maps, and density maps using geographic roles and automatic geocoding. The course also covers custom locations and polygon maps.
What types of charts and visualizations will I build? +
You'll create scatter plots, histograms, box plots, heat maps, Gantt charts, bullet charts, and combination charts. You'll also learn to build dual-axis charts and responsive dashboards for multiple devices.
Do I need prior Tableau experience? +
No. No prior Tableau experience is required. The course is designed for beginners and takes you from the fundamentals through advanced techniques.
What background do I need? +
You need basic familiarity with spreadsheet applications like Microsoft Excel and comfort working with tabular data, rows, columns, and basic aggregations. That's all.
Is this course suitable for non-technical people? +
Yes. The course is designed for people transitioning from spreadsheets to visual analytics. You don't need a programming background or advanced technical skills.
Can I take this course if I work with data but have never used Tableau? +
Absolutely. The course is built for data professionals, analysts, and business users who want to master Tableau regardless of their starting point.
What if I have some Excel experience but limited analytics background? +
That's ideal preparation. The course builds on spreadsheet knowledge to teach data visualization and analysis. You'll progress through each concept step by step.
Are there any software requirements to join? +
You'll need access to a computer with internet to use the hands-on cloud labs during the course. The instructor will guide you through any setup needed.
What is the Tableau workflow? +
The Tableau workflow has four stages: connect to your data source, prepare and clean the data, build analysis views and calculations, then design interactive dashboards and stories to present insights.
How does Tableau connect to different data sources? +
Tableau connects directly to Excel, databases, and text files using live connections or extracts. You can also write custom SQL queries to pull specific data and manage extract filters for efficiency.
What is Tableau Prep Builder and why do I need it? +
Tableau Prep Builder is a dedicated tool for data preparation. You design cleaning flows to rename fields, fix data types, join tables, and pivot data before loading into Tableau Desktop for analysis.
What are relationships and how do they differ from joins? +
Relationships link tables in Tableau based on matching columns and preserve detail at each row level. Joins combine tables into a single result. The course teaches you to choose the right approach for your data structure.
What is data blending in Tableau? +
Data blending combines data from multiple sources on a sheet without physically joining them. It's useful when you have separate data sources with different granularity that you want to analyze together.
How do filters work in Tableau? +
Filters restrict which data appears in your visualization. Context filters apply before other filters for efficiency. Cross-sheet filters link filters across multiple sheets so changing one updates all related views.
What are parameters and how are they used? +
Parameters are variables you create to let users control calculations and filter values dynamically. They're especially useful for sensitivity analysis and Top N views that users can adjust interactively.
What is a calculated field and when would I use one? +
Calculated fields create new data columns using formulas. You'd use them for metrics like profit margin, year-over-year growth, or custom aggregations that don't exist in your source data.
How does Tableau handle time-series data and forecasting? +
Tableau lets you work with date parts and date values to build time-series views, animate change over time, and apply trend lines. The course also covers predictive modelling functions for forecasting.
What roles can I pursue after this course? +
Common roles include Business Intelligence Analyst, Data Analyst, Reporting Analyst, Data Visualization Analyst, Business Analyst, Operations Analyst, Marketing Analyst, and Financial Analyst.
What do Business Intelligence Analysts do with Tableau? +
They connect to business data, build dashboards and reports that track performance, and help stakeholders make decisions based on visual insights. Entry-level roles typically focus on building and maintaining standard reports.
Is there strong demand for these skills? +
Yes. Business intelligence and data visualization roles are among the fastest-growing professional roles. Adoption of advanced analytics continues to widen, and demand for these skills has consistently outpaced supply.
Which industries hire Tableau professionals? +
Demand spans finance, retail, healthcare, marketing, operations, and any data-driven organization. Companies across sectors rely on business intelligence professionals to monitor performance and guide decisions.
Can I specialize in certain areas within Tableau? +
Yes. Some professionals specialize in data preparation and pipeline design, others focus on dashboard and story design, and many become analytics consultants advising businesses on BI strategy and implementation.
What is the average Business Intelligence Analyst salary in Chennai? +
The average Business Intelligence Analyst salary in Chennai is around ₹5L. The typical pay range runs from ₹4L to ₹6L. Source: AmbitionBox.
What does an experienced Business Intelligence Analyst earn in Chennai? +
Experienced Business Intelligence Analysts in Chennai typically earn towards the upper end of the range — up to ₹6L and above at senior or lead level. Specialisations in AI, cloud, or advanced analytics can push compensation higher. Source: AmbitionBox.
What is the average Data Analyst salary in Chennai? +
The average Data Analyst salary in Chennai is around ₹8L. The typical pay range runs from ₹6L to ₹11L. Source: AmbitionBox.
What does an experienced Data Analyst earn in Chennai? +
Experienced Data Analysts in Chennai typically earn towards the upper end of the range — up to ₹11L and above at senior or lead level. Specialisations in AI, cloud, or advanced analytics can push compensation higher. Source: AmbitionBox.
What is the average Reporting Analyst salary in Chennai? +
The average Reporting Analyst salary in Chennai is around ₹14L. The typical pay range runs from ₹11L to ₹18L. Source: AmbitionBox.
What does an experienced Reporting Analyst earn in Chennai? +
Experienced Reporting Analysts in Chennai typically earn towards the upper end of the range — up to ₹18L and above at senior or lead level. Specialisations in AI, cloud, or advanced analytics can push compensation higher. Source: AmbitionBox.
What certificate will I receive? +
You'll earn a Greater Insights Certificate of Completion in Tableau — evidence of the practical, job-ready skills you built, and shareable with employers.
Is the certificate recognised or accredited? +
It's a professional certificate of completion — not a university or government accreditation. Its value comes from what it represents: rigorous, live instructor-led training and hands-on projects that employers recognise as real, current skills.
How do I earn the certificate — is there an exam? +
There's no high-stakes exam. You earn the certificate by completing the programme — attending the live sessions and finishing the hands-on projects and labs that demonstrate your skills.
Can I add it to LinkedIn and use it for job applications? +
Yes — it's designed to be shared. Add it to your LinkedIn profile and CV right after completion, and use it in job applications as proof of the skills you built.
Will it help me get hired? +
It signals to employers that you've completed practical, hands-on training in Tableau — a real credibility boost. It's not a job guarantee, but combined with your portfolio and interview it strengthens your profile.
Does the certificate expire? +
No — once earned, it's yours permanently and doesn't expire. You also keep your learning materials to reference throughout your career.
How is the course delivered? +
It's a live, instructor-led online course with hands-on cloud labs — not self-paced video. You attend scheduled sessions with your trainer and classmates, ask questions in real time, and work through labs in the cloud.
How does this compare to a self-paced course? +
The difference is live, instructor-led sessions with a real cohort — real-time help, feedback, and accountability, instead of videos you work through alone. You still keep the recordings and materials, but the live guidance is what keeps you moving.
Is this the same as a university degree? +
No — it's a focused, practical, industry-oriented programme, not an academic degree. You build job-ready skills through live training and hands-on projects, and earn a Greater Insights certificate to show employers. It complements a degree rather than replacing it.
Can I attend if I'm in a different time zone? +
Sessions run at scheduled times (shown on this page). The course is fully online, so you can join from anywhere — check the schedule to confirm the timings work for you, or ask a learning advisor about alternative cohorts.
How much time do I need each week, and can I do it while working full-time? +
The live online format is built for working professionals — sessions are scheduled to fit around a job. Alongside the live sessions, set aside focused time for hands-on labs and practice; your trainer outlines the weekly commitment during onboarding.
What software or equipment do I need? +
Just a computer with a stable internet connection and a web browser. The course runs on cloud labs, so tools are provided online — no heavy local setup. You'll work with the tools your programme uses entirely in the cloud.
What support do I get during the course? +
You work directly with a live instructor throughout. Ask questions during sessions, collaborate with classmates on labs, and get feedback on your work. If you fall behind or hit a technical issue, your trainer and the Greater Insights team help you catch up.
Are sessions recorded — what if I miss one? +
Live attendance is where the real learning happens, so try to attend. If you must miss a session, tell your trainer in advance — your learning materials (and recordings, where available for your cohort) help you catch up. Ask your learning advisor about recording access.
How much does the course cost, and what payment options are there? +
The current fee is ₹16,800, with EMI options from ₹1,517/month. You can also request a quote or talk to a learning advisor for the latest pricing and plans.
Can I get a refund if it's not the right fit? +
Yes — if you've paid in full for a scheduled batch, you can request a full refund within 7 days of enrolling (before the batch starts); after that we can usually arrange a credit or a free transfer to a later batch, and if we cancel a batch you're refunded in full. See our Refund & Cancellation Policy at greaterinsights.in/refund-policy for the details.
What happens to my materials and access after the course ends? +
You keep your learning materials permanently — notes, code, labs, and resources — to revisit anytime as you apply your skills on the job.
Is there any support after the course ends? +
Yes — you stay connected with your trainer and the Greater Insights team after the programme, so you can ask follow-up questions and get guidance as you put your skills to work.
Can I book this for my team, or get 1:1 training? +
Yes — we run private cohorts for companies and offer 1:1 / small-group training. Talk to a learning advisor to scope a team plan or a personalised track.
What happens right after I enrol? +
You'll get onboarding details — how to access the learning platform and cloud labs, your cohort schedule, and a welcome from the GI team. Your learning advisor walks you through the first steps.
Is there peer learning or a community? +
Yes — you learn alongside a live cohort, collaborate with classmates on labs, and stay connected with the Greater Insights community and team beyond the course.
How long is the course? +
The full duration is listed in the course curriculum section on this page — check there for the exact hours and schedule.
Ready to become a Tableau expert?
Course Details

Tableau — a closer look

About this course

This programme takes learners from their first encounter with Tableau Desktop through to building production-ready interactive dashboards, with no prior Tableau experience required. Every session is instructor-led and live, with hands-on exercises running throughout so learners practice each technique as it is taught. The curriculum covers the full Tableau workflow — connecting to data, cleaning with Tableau Prep Builder, building every major chart type, writing calculations, and designing dashboards — before concluding with a capstone project in which learners build and present a complete analytical solution from raw data to published story.

What is Tableau?

Tableau is a visual analytics platform that turns raw business data into interactive charts, dashboards, and stories without requiring learners to write code. At its core, Tableau Desktop provides a drag-and-drop workspace built around shelves, the Marks card, and a live connection to the underlying data, giving analysts immediate visual feedback as they explore. Tableau Prep Builder adds a dedicated data-wrangling environment where flows can profile, clean, pivot, and aggregate data before it ever reaches a viz. Tableau Public and Tableau Cloud extend the platform into sharing and collaboration, letting published workbooks reach wider audiences with scheduled refreshes and alert subscriptions. Together these four products form an end-to-end analytics workflow that organisations rely on to move from a raw data source to a boardroom-ready dashboard in a single, governed environment.

Why learn Tableau now

Demand for analysts who can turn data into clear visual decisions has never been stronger, and Tableau Desktop fluency sits near the top of the requirements list across business intelligence, finance, marketing, and operations roles. What commands a premium now is not just the ability to build a chart, but the combination of skills this programme develops: writing FIXED, INCLUDE, and EXCLUDE LOD expressions that answer complex business questions; designing dashboards with responsive container layouts optimised for desktop, tablet, and phone; and cleaning messy source data using Tableau Prep Builder flows before it reaches the workbook. Organisations investing in self-service analytics need people who can own the full pipeline — from raw data connection through to a published, scheduled dashboard on Tableau Cloud — and that end-to-end capability is precisely what this curriculum builds.

Who this course is for

  • Aspiring Business Intelligence Analysts — Learners targeting BI roles who need Tableau Desktop as their primary reporting and dashboard-delivery tool.
  • Data and Reporting Analysts — Practitioners already working with tabular data who want to replace manual spreadsheet reports with interactive Tableau views.
  • Business and Operations Analysts — Analysts who interpret performance data daily and want to build self-service dashboards their stakeholders can filter and explore.
  • Marketing and Financial Analysts — Function-specific analysts who need time-series views, LOD expressions, and parameter-driven comparisons to track KPIs accurately.
  • Career Changers Entering Analytics — Professionals from non-technical backgrounds who have basic spreadsheet comfort and want a structured path into data visualisation roles.
  • Data Visualisation Enthusiasts — Individuals keen to publish polished public-facing work using Tableau Public and build a visible portfolio of analytical projects.

What you’ll be able to build

By the end you will have built — not just studied — the core systems of the field:

  • Multi-source Prep Flow — A Tableau Prep Builder flow that ingests raw tabular data, profiles field quality, applies cleaning steps including pivot and aggregation, and outputs a structured extract ready for analysis.
  • Chart Type Library Workbook — A workbook spanning scatter plots, histograms, box plots, bullet charts, Gantt charts, heat maps, and dual-axis combination charts, each sheet demonstrating correct Marks card configuration.
  • LOD Expression Analysis Sheet — A calculated-field suite using FIXED, INCLUDE, and EXCLUDE expressions to answer cohort-level and cross-dimensional business questions that row-level aggregations cannot resolve.
  • Table Calculation Dashboard — A view combining running totals, moving averages, year-over-year comparisons, and rank calculations, with custom compute settings adjusted to match the analytical grain required.
  • Parameter-Driven Interactive View — A sheet where parameters control a reference line threshold, swap the active measure in a calculation, and dynamically filter the view, demonstrating end-to-end parameter wiring.
  • Location Analysis Map — A dual-axis map built in Tableau Desktop using geographic roles and custom latitude-longitude data, layering a filled map with a density overlay for regional pattern analysis.
  • Capstone Interactive Dashboard and Story — A fully responsive dashboard built with containers and layout optimised for desktop, tablet, and phone, published to Tableau Cloud with filter actions, navigation buttons, and a Tableau story presenting findings.

Career paths & salary

Completing this programme prepares learners for a wide range of analyst roles in which Tableau Desktop is a core daily tool. Business Intelligence Analyst and Data Visualisation Analyst positions typically require exactly the skills covered here — LOD expressions, dashboard design, and Tableau Prep Builder flows — and these roles appear consistently across industries from retail to financial services. Reporting Analyst and Operations Analyst roles value the ability to connect to live data sources, schedule extract refreshes on Tableau Cloud, and deliver dashboards that non-technical stakeholders can filter without support. Marketing Analyst and Financial Analyst positions increasingly list Tableau as a required rather than preferred skill, particularly where teams have moved away from static spreadsheet reporting toward self-service analytics. Business Analyst roles that sit at the intersection of data and strategy also benefit, since the ability to build parameter-driven views and trend-line analyses directly supports evidence-based recommendations. Demand for Tableau-fluent analysts is broad, consistent, and shows no sign of contracting as organisations continue to prioritise visual, governed analytics.

Tableau in Chennai: employers & tech hubs

When you work with supply chain data at one of Chennai's automotive manufacturers, the volume and variety of operational metrics — defect rates, component lead times, logistics performance — can quickly exceed what a spreadsheet can communicate clearly. Tableau gives you the ability to build interactive dashboards that surface quality-control anomalies before they reach the production line, or that let procurement teams trace bottlenecks across a supplier network in real time. Equally, if you work inside a B2B SaaS environment, you are likely building product usage dashboards, customer health scorecards, or revenue funnel visualisations that feed directly into decisions made by go-to-market and product teams. Chennai's density of both manufacturing operations and software product companies means the problems Tableau solves here range from shop-floor analytics to enterprise customer intelligence — and the professionals who can move across both contexts are especially valued.

Employers in Chennai that recruit for Tableau skills include Zoho and Freshworks, both of which employ analysts and data professionals who work on product and customer analytics at scale. Larger delivery and services organisations such as Cognizant, Wipro, and TCS also recruit for Tableau expertise to support analytics engagements across global client accounts.

Demand for Tableau roles in Chennai grows year on year, reflecting how broadly data visualisation has been adopted across the city's industries. Live online instructor-led batches run in IST, so you can join from anywhere in Chennai without commuting to a classroom.

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