Tableau & Data Visualization
An advanced, job-oriented course in Tableau and data visualization. You connect and clean data, choose the right chart, write calculated fields and LOD expressions, build parameters and interactive dashboards, and design accessible executive dashboards. You also combine data with relationships, joins and blending, check your numbers with SQL, tell data stories, speed up slow dashboards and learn how Tableau Server and Tableau Cloud work. You use AI tools to work faster and learn to validate every result yourself. You finish with four portfolio projects, an integrated capstone, interview preparation and freelance dashboard skills. All business data is simulated.
- Duration: 12 weeks
- Fee: Rs 14,999 (about Rs 2,500 a month on EMI)
- Field: Data & Analytics
Roles this track prepares you for
- BI Developer
- Data Visualization Analyst
- Tableau Developer
- Business Intelligence Analyst
- Data Analyst
- Dashboard Developer
- Reporting Analyst
- BI Analyst
- Visualization Developer
Curriculum
- Data Visualization Thinking, Tableau Setup and Lab Readiness - Learn why and for whom we visualize data, set up Tableau Public and Tableau Desktop, find your way around the interface and build the habit of checking every number, including numbers from AI tools.
- Why we visualize, audience, question and decision
- Tableau Public and Tableau Desktop setup
- The Tableau interface, data pane and shelves
- Build your first view and check its numbers
- Rules for using AI assistants in analysis
- Validate any number independently
- Connecting to Data, Data Types and Cleaning - Connect Tableau to files and databases, understand live versus extract, set data types and roles correctly, clean messy fields and reconcile the data to its source before any chart is built.
- Connect to Excel, CSV and text files
- Live connection versus extract
- Data types, dimensions and measures
- Split, pivot, union and rename messy fields
- Clean messy sheets inside Tableau
- Data quality checklist and reconciliation to the source
- Chart Selection and Core Visual Analytics - Choose the right chart for each business question, build bars, lines, maps and scatter plots, use groups, sets and hierarchies and learn to spot and fix misleading charts.
- Choose a chart by the question it answers
- Bars, lines and time trends
- Maps and geographic analysis
- Distributions, scatter plots and correlation
- Groups, sets, hierarchies and highlight tables
- Misleading charts and how to fix them
- Calculated Fields, Table Calculations and Functions - Write calculated fields with logical, string and date functions, understand row level versus aggregate calculations, use table calculations for running totals, ranks and growth, and debug calculations that give wrong answers.
- Calculated fields basics
- Logical, string and date functions
- Row level versus aggregate calculations
- Table calculations, running totals and ranks
- Percent of total and year over year change
- Debug a wrong calculation
- Level of Detail (LOD) Expressions and Order of Operations - Use FIXED, INCLUDE and EXCLUDE level of detail expressions, choose between LOD, table calculations and filters, and understand the order in which Tableau applies filters and calculations.
- FIXED LOD expressions
- INCLUDE and EXCLUDE LOD expressions
- LOD, table calculation or filter, how to choose
- Cohort and first purchase analysis
- Order of operations and filter behaviour
- LOD pitfalls and validating the result
- Parameters, Filters and Interactive Visualizations - Build interactive views with filters, parameters, dynamic measure and dimension swapping, dashboard actions and dynamic top N, and test them with real users. This module includes portfolio project 1.
- Filter types and context filters
- Parameters basics
- Dynamic measure and dimension swapping
- Dashboard actions, filter, highlight and URL
- Dynamic sets and top N
- Test an interactive view with real users
- Dashboard Design, Executive Dashboards and Accessibility - Design clear executive dashboards with good layout, KPI cards, color and typography, make them accessible, build layouts for different devices and review them against a design checklist. This module includes portfolio project 2.
- Layout, containers and sizing
- KPI cards and the executive summary
- Color, typography and clarity
- Accessibility, contrast and alt text
- Device layouts for desktop, tablet and phone
- Review a dashboard against a design checklist
- Relationships, Joins, Data Blending and SQL Integration - Combine tables with relationships, joins and blending, understand the grain of data, bring in data with custom SQL and verify Tableau numbers against SQL results.
- Relationships and the logical and physical layers
- Joins, unions and the grain of the data
- Data blending, when and when not
- Custom SQL and initial SQL
- Validate Tableau numbers with SQL
- Find duplicate rows and fan out errors
- Data Storytelling and Business Case Studies - Turn analysis into a clear story with structure, story points and annotations, move from insight to a recommended action, work through business cases and present to stakeholders. This module includes portfolio project 3.
- Story structure for data
- Story points and annotations
- From insight to a recommended action
- Business case, retail sales
- Business case, operations and finance
- Present a dashboard to stakeholders
- Performance Optimization, Tableau Server and Tableau Cloud - Find and fix the causes of slow dashboards, publish and share work on Tableau Server or Tableau Cloud, manage permissions and refresh schedules, and understand governance and certified data.
- Find bottlenecks with performance recording
- Faster extracts, filters and calculations
- Publish to Tableau Server or Tableau Cloud
- Projects, permissions and refresh schedules
- Subscriptions, alerts and embedding
- Governance, certified data and version control
- AI-Assisted Analytics with Independent Validation - Use AI tools to draft calculations and SQL, generate chart and insight ideas and understand Tableau's built-in AI features, while learning to catch wrong output, protect confidential data and validate every result independently.
- Use AI to draft calculations and SQL
- Use AI for chart and insight ideas
- Tableau built-in AI features, what they do and do not do
- Catch wrong AI output
- Privacy and confidential data rules
- An AI-assisted workflow case
- Capstone, Portfolio, Interview Preparation and Freelance Dashboards - Combine everything in one end-to-end Tableau project from raw data to validated dashboards and a story, then build your portfolio, learn to scope and deliver freelance dashboard projects and practise interview questions. This module includes portfolio project 4.
- Capstone brief, data and plan
- Capstone calculations and validation
- Capstone dashboards and story
- Tableau Public portfolio profile
- Scope and deliver a freelance dashboard project
- Interview preparation and practice
Frequently asked questions
How long is the Tableau & Data Visualization course?
It runs for 12 weeks. It is self-paced online learning from EasySkill Career Academy, Surat.
How much does the Tableau & Data Visualization course cost?
The fee is Rs 14,999, or about Rs 2,500 a month on EMI.
What will I build in Tableau & Data Visualization?
Every module ends in a graded practical task that AI checks in about 30 seconds, so you finish with a portfolio you can show to employers or clients.
Which roles does Tableau & Data Visualization prepare me for?
It prepares you to apply for roles such as BI Developer, Data Visualization Analyst, Tableau Developer, Business Intelligence Analyst, Data Analyst. It does not guarantee a job or income.
Can I learn online, or do I have to visit a centre?
You can learn fully online. EasySkill also has centres in Adajan, Vesu and Bhestan, Surat, if you prefer to visit.
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