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Tableau with AI Analytics
Build interactive visual reports and data stories with AI-assisted analysis.
NEXT START OPTIONS
Choose a live batch.
COURSE OVERVIEW
What this course
is built to do.
Create interactive Tableau dashboards and data stories using checked calculations and AI-assisted analysis.
Each module combines a live trainer demonstration, guided lab, assignment and review before the next stage.
CONNECTED CAREER DIRECTIONS
IS THIS COURSE RIGHT FOR YOU?
Choose it for the right reason.
You want business intelligence and visual reporting skills
You need interactive Tableau dashboards
You want AI calculation support with checking
YOUR LEARNING ARC
From guided foundation to finished work.
Connect
Prepare relational data for Tableau.
Analyse
Build charts and verified calculations.
Interact
Create dashboard actions and parameters.
Publish
Present data stories with access and refresh plans.
INDUSTRY TASKS
Practise the work, not only the tool.
- Build a calculated analysis workbook
- Create an interactive management dashboard
- Publish a source-led Tableau story
LED
YOUR TRAINING TEAM
Learn from experienced working professionals.
Live demonstrations, guided practice and direct project feedback are part of the course. Trainers update examples and tool coverage as professional practice changes.
WHAT YOU WILL BE ABLE TO DO
Course outcomes
Prepare data for Tableau
A checked relational data source.
Build analytical views
A workbook with verified calculations and useful charts.
Create interactive dashboards
A tested management report with filters and actions.
Publish a data story
A shared capstone with access, refresh and presentation notes.
TAKE THE NEXT STEP
Need fees, syllabus or the right batch?
An AI5 Academy advisor can help you compare mode, schedule and starting level.
DETAILED COURSE FLOW
5 learning modules
Build interactive Tableau reports and clear data stories while using AI assistance for questions, calculations and checked analysis.
Business questions and data connection
Begin with the decision and prepare suitable data for Tableau.
- Audience, measures and dimensions
- Excel, CSV and database connections
- Data types, joins and relationships
- Quality checks and extracts
Connect and prepare a multi-table dataset for an agreed reporting brief.
Tableau-ready data source
Core visual analysis
Choose visual forms that answer questions clearly rather than decorating the data.
- Bar, line, scatter and map views
- Filters, groups and hierarchies
- Calculated fields and table calculations
- AI-assisted formula drafting and checking
Build a set of analytical views and verify every calculation.
Tableau analysis workbook
Dashboards and user interaction
Combine views into a focused report that supports investigation.
- Dashboard layout and hierarchy
- Actions, filters and parameters
- Drill-down and tooltips
- Device layouts and accessibility
Create an interactive management dashboard and run user tasks against it.
Interactive Tableau dashboard
Data stories and advanced analysis
Explain patterns, comparisons and exceptions without overstating the evidence.
- Trends, distributions and outliers
- Forecasting and reference lines
- Level-of-detail calculations
- Narrative, annotation and presentation
Prepare a data story that links each claim to a visible measure.
Decision-led Tableau story
Publishing and Tableau capstone
Share reports with suitable access, refresh and maintenance settings.
- Tableau Public and Server concepts
- Permissions, extracts and refresh
- Performance checks
- Presentation, feedback and update cycle
Publish and present a complete analytics project with source and calculation notes.
Tableau with AI capstone
HOW THE TRAINING WORKS
Learn it. Apply it. Get it reviewed. Improve it.
Every important skill moves through explanation, demonstration, guided use and independent application. Trainer feedback is used to revise the work before it becomes part of the final portfolio.
Concept briefing
The trainer explains the principle, use case, limitations and the quality standard expected.
Live demonstration
A complete task is demonstrated while the trainer explains decisions, checks and common mistakes.
Guided lab
Learners repeat the method with support, ask questions and correct problems during the session.
Applied assignment
The same method is used on a different brief so the learner must make independent decisions.
Review and revision
Work is checked against a rubric, revised after feedback and prepared for project presentation.
PORTFOLIO WORK
Projects you can show
Guided practice brief
Plan, produce, test and present a finished piece with trainer feedback.
Individual application
Plan, produce, test and present a finished piece with trainer feedback.
Workflow build
Plan, produce, test and present a finished piece with trainer feedback.
Industry-style assignment
Plan, produce, test and present a finished piece with trainer feedback.
Quality review
Plan, produce, test and present a finished piece with trainer feedback.
Final capstone
Plan, produce, test and present a finished piece with trainer feedback.
TAKE THE NEXT STEP
Need fees, syllabus or the right batch?
An AI5 Academy advisor can help you compare mode, schedule and starting level.
TOOLS COVERED
COMMON QUESTIONS
Before you apply
Can a beginner join?
Yes. Basic Excel and familiarity with tables are enough to begin.
+Is Tableau Public used?
It may be used for public practice projects; company data requires approved access and publishing rules.
+Does the course include calculated fields?
Yes. Core, table and level-of-detail calculations are included.
+Do I need coding experience?
No, unless the course level says otherwise. Your advisor will check the right starting level.
+Are classes live or recorded?
Classes are trainer-led in the classroom or live online. Recordings may support revision but do not replace class.
+Will I receive a certificate?
Yes. Course completion requires attendance, assignments and the final project.
+Can working professionals join?
Yes. Weekday, weekend and selected fast-track schedules are available.
+NEXT BATCH
Choose your course.
Choose your schedule.
Online or offline. Weekdays or weekends. Regular or fast track. Speak with an AI5 Academy advisor about the right starting level.
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