Courses
Route: /courses/
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dates, pricing, batch schedules, testimonials, placement outcomes, institutional clients, and certifications must not be published unless verified and approved.
Course pages
- Excelerate: The Business Analytics Sprint
- SeeIt: Visual Intelligence with Tableau
- Groundwork: Python for Working with Data
- CodeCraft: Python for Business Minds
- PredictWorks: The Machine Learning Studio
- The GenAI Odyssey: From Foundations to Frontier Models
Page purpose
Provide a clear comparison of all current programmes and help visitors select based on current level, desired capability and technical depth.
SEO starting point
Starting keyword batch
- data analytics courses
- business analytics courses
- Python analytics courses
- machine learning training
- Generative AI course
- Tableau course
- Excel analytics course
- live data science courses
Tentative content hierarchy
- Hero
- Course comparison
- How programmes relate
- Choose by current level
- Learning paths
- Common format
- CTA
Draft content
Hero
Six programmes. One winnowing process.
From the spreadsheet already open on your desktop to the transformer architectures behind modern language models, WINNOW’s current catalogue is designed as a set of practical, live programmes that increase in technical depth.
Programme comparison
| Programme | Track | Sessions | Best suited to |
|---|---|---|---|
| Excelerate | Foundation | 12 | Excel users, analysts, managers |
| SeeIt | Visualization | 8 | Analysts and BI/dashboard learners |
| Groundwork | Programming | 12 | Python beginners working toward data |
| CodeCraft | Programming | 12 | Business professionals using Python for analysis |
| PredictWorks | Machine Learning | 12 | Python users moving into ML |
| The GenAI Odyssey | Flagship | 16 | Learners seeking technical GenAI foundations |
[CONFIRM: exact prerequisite relationships]
Course cards
Each card should show:
- course name
- track
- short promise
- session count
- skill level
- key prerequisite
- CTA
Do not show the entire curriculum on this page.
Suggested progression
Business analytics route:
Excelerate → SeeIt and/or CodeCraft
Technical data route:
Groundwork → PredictWorks
Generative AI route:
Groundwork or equivalent Python foundation → PredictWorks foundations where needed → The GenAI Odyssey
These progressions are editorial recommendations and should be approved against the instructor’s intended prerequisites.
Common learning approach
Source-supported:
- live
- instructor-led
- hands-on
- weekly cadence
[CONFIRM: recordings, assignments, assessments, certificates, support between sessions]
CTA
Not sure where to start?
CTA: Find Your Learning Path Secondary CTA: Discuss Course Fit