SeeIt: Visual Intelligence with Tableau

Route: /courses/seeit/

Status: Working content draft for review
Purpose: Content architecture, copy direction, SEO starting points, and page-level placeholders
Source basis: WINNOW learning catalogue and Debojyoti Biswas profile documents supplied for the project
Important: Claims, dates, pricing, batch schedules, testimonials, placement outcomes, institutional clients, and certifications must not be published unless verified and approved.

Page purpose

Convert visitors who have an identified need in this subject area by clearly explaining the programme, expected capability, curriculum depth, learner fit and next step.

SEO starting point

Primary topic: Tableau course

Starting keyword batch

SEO caution: Validate volumes and search intent before finalising metadata. Avoid competing with the Courses overview page for broad terms.

Tentative content hierarchy

  1. Hero
  2. Why this programme exists
  3. Who it is for
  4. What you will be able to do
  5. Programme structure and learning approach
  6. Curriculum
  7. Prerequisites and course fit
  8. Instructor credibility
  9. FAQ
  10. Enquiry CTA

Draft page content

Hero

Visualization Track · Business Intelligence with Tableau

SeeIt: Visual Intelligence with Tableau

SeeIt focuses on visual analytical thinking, connecting and preparing data, designing appropriate charts, mapping, forecasting and building interactive dashboards that communicate clearly.

8 live sessions
Format: Live & hands-on
Cadence: Weekly

Primary CTA: Discuss Course Fit
Secondary CTA: View Curriculum

[CONFIRM: session duration, cohort size, online/offline availability, next batch date, fees]

Why this programme

The page should frame the course around a practical capability gap, not around software features alone.

Suggested copy:

SeeIt focuses on visual analytical thinking, connecting and preparing data, designing appropriate charts, mapping, forecasting and building interactive dashboards that communicate clearly.

The objective is not to cover every possible feature or technique. WINNOW’s broader philosophy is to identify what matters in real work, teach it in a coherent sequence, and remove avoidable noise.

Who this is for

[CONFIRM: whether students/freshers are a primary audience for this specific programme]

What you should be able to do afterwards

Design and publish interactive analytical dashboards, from raw data connections through calculations, visual analysis, mapping and storytelling.

Use a short capability list beneath this paragraph. Pull only from the curriculum and avoid unsupported employability claims.

[CONTENT NOTE: Convert curriculum items into 4 to 6 observable capabilities. For example, “clean and combine messy datasets” is stronger than “understand data cleaning”.]

How the programme works

Current source material supports:

[CONFIRM: assignments, office hours, recordings, mentoring, assessments, certificate, community access]

Curriculum

Session 01: Business Intelligence & Tableau Foundation

Big Data, BI & Decision-Making · Tableau Products, Use Cases & Interface · Dimensions, Measures & Field Roles

Session 02: Data Connections & Preparation

Files, Databases, Server & Web Data · Relationships, Joins, Unions & Blending · Splits, Pivoting, Metadata & Extracts

Session 03: Organising & Simplifying Data

Filters & Sorting · Groups, Hierarchies & Sets · Data Roles & Field Organisation

Session 04: Visual Analysis & Chart Design

Core & Advanced Chart Types · Axes, Labels, Annotations & Tooltips · Choosing Charts for Business Questions

Session 05: Calculations & Table Calculations

Calculated Fields & Logic · Aggregations & Table Calculations · Totals, Subtotals & LOD Expressions

Session 06: Mapping & Spatial Analytics

Geographic Roles & Location Editing · Map Layers, Territories & Geocoding · Filters, Selections & Spatial Analysis

Session 07: Analytics, Trends & Forecasting

Reference Lines, Bands & Distributions · Trend Lines & Forecasting · Statistical Summaries & Analytics Pane

Session 08: Dashboards, Actions & Publishing

Dashboard Design & Visual Storytelling · Filters, Actions & Device Layouts · Publishing, Sharing & Capstone

Prerequisites and course fit

[CONTENT REQUIRED: final prerequisite statement]

Content guidance:

Instructor

Short trust block:

Debojyoti Biswas brings 19 years of experience across analytics, model risk, AI governance and Generative AI risk and control, with professional experience spanning Wells Fargo, Citi, IBM, Genpact and Infosys.

Link: /instructor/

[APPROVE: exact designation wording and use of employer logos]

FAQ placeholders

  1. Who is this course for?
  2. What prior knowledge do I need?
  3. Is the programme online, offline, or hybrid?
  4. How long is each session?
  5. Will sessions be recorded?
  6. What software or accounts will I need?
  7. Is there a project or capstone?
  8. Will I receive a certificate?
  9. What is the fee?
  10. When is the next cohort?

Do not publish placeholder answers.

Final CTA

Not sure whether SeeIt is the right starting point?

Discuss your current experience, goals and available time before choosing a programme.

CTA: Discuss Course Fit

[CONFIRM: WhatsApp, form, email or scheduling link]

Content/asset requirements