Data Analytics Course in Kankanady
For Kankanady analysts, this course teaches SQL and data modelling fundamentals, plus how to present insights so leadership actually acts on them.
- Live cohorts, not recordings
- Practitioner-taught
- Community & placement
- Lifetime access
Enrol or get details
Tell me about your goals — I'll reply within 24 hrs.
For Kankanady analysts
Live sessions cover SQL, dashboards and storytelling with data — everything Kankanady students need to move from reporting to actually influencing decisions.
Curriculum breakdown
Module 1: SQL foundations
SQL taught from scratch for Kankanady students — no prior programming experience required.
Topics covered
- Querying, joins and aggregation
- Window functions and CTEs
Module 2: Data modelling and warehousing
How data is structured and stored so Kankanady students can reason about a real company's data warehouse.
Module 3: Dashboards and visualization
Building dashboards Kankanady students can present directly to leadership.
Topics covered
- Looker Studio / Google Data Studio
- Chart selection and dashboard design
Module 4: Statistics and storytelling
Presenting insights so leadership actually acts on them, not just another report that gets filed away.
How the cohort runs
Format and schedule
Live, portfolio-driven cohort
Live sessions for Kankanady students building toward a real portfolio dashboard project.
Who this course is for
Analysts wanting to move from reporting to influence
Kankanady analysts who want their insights to actually change decisions.
Career switchers into analytics
Kankanady learners moving into a data-adjacent role for the first time.
Outcomes and support
Certificate and portfolio project
Kankanady students receive a certificate of completion plus a portfolio dashboard project.
Comparison
How this differs from Data Science & AIML
This course focuses on SQL, dashboards and reporting; the AIML course covers predictive modelling and ML deployment.
Note
No coding experience required — SQL is taught from scratch for Kankanady students.
Quick answer
The Data Analytics Course in Kankanady teaches SQL, data modelling, dashboards and storytelling with data so analysts can move from producing reports to actually influencing business decisions. It's for Kankanady analysts and career switchers with no coding background, and it's worth it if you want to present insights leadership acts on, not just another dashboard nobody opens.
How this compares to a free SQL tutorial site
- Covers the full path from SQL through data modelling to dashboards and storytelling, not SQL syntax in isolation
- Live sessions with feedback on a real portfolio dashboard project, instead of self-paced exercises with no review
- Taught by a practitioner who builds executive dashboards for real clients, not a generic SQL syntax reference
- Ends with a certificate and a dashboard project Kankanady students can present in interviews, not just completed practice problems
Why Kankanady analysts choose Deepak Suhag
Taught by a practitioner who builds executive dashboards for real clients, not academic exercises.
How it works
Simple, transparent process — from first contact to measurable results.
Enrol & Onboard
Instant portal access, cohort Slack invite, and full session calendar on day one.
Live Sessions
Weekly Zoom sessions with real campaign walkthroughs, live dashboard reviews, and Q&A.
Build & Get Feedback
Hands-on assignments on your own campaigns with direct 1:1 feedback from Deepak.
Graduate & Network
Industry certificate, alumni community, job board access, and ongoing placement support.
Tools & platforms
The exact stack I use daily across growth marketing, web development, AI, and automation — no guesswork, no vendor lock-in.
Why work with Deepak
Here's what makes this different from every other option in Kankanady.
Taught by a practitioner
Every module comes from live campaigns with real budgets — not textbook theory or outdated slides.
Live cohorts, not recordings
Ask questions in real time, get live feedback on your campaigns, and learn with a cohort of peers.
Practitioner-led curriculum
Real ad accounts, real case studies, real budgets — everything relevant to where you work, wherever that is.
Career-ready outcomes
Portfolio projects, alumni Slack, and direct referrals to companies actively hiring in your city.
Everything you need to know
Still have a question that isn't answered here? Reach out directly — I respond to every inquiry personally.
Ask a question01Do I need coding experience to join from Kankanady?
No — SQL is taught from scratch, no prior programming required.
02What tools are covered?
SQL, Looker Studio / Google Data Studio, and spreadsheet-based analysis.
03How is this different from Data Science & AIML?
This focuses on SQL, dashboards and reporting; the AIML course covers predictive modelling and ML deployment.
04Is there a certificate for Kankanady students?
Yes — a certificate of completion plus a portfolio dashboard project.
05How much does the Data Analytics course cost for Kankanady students?
Fees are confirmed on a short intro call since pricing can vary by cohort and current offers. Kankanady students should book a call for exact, current pricing.
06What's the difference between this and a free SQL tutorial site like W3Schools or Mode?
Free SQL tutorials teach syntax in isolation with no feedback. This course connects SQL to data modelling, dashboards and storytelling with data in a live cohort, so Kankanady students leave able to build and present a full analytics project, not just write queries.
07Do I need coding or SQL experience to join from Kankanady?
No — SQL is taught from scratch for Kankanady students, and no prior programming experience is required. This is a common entry point for career switchers moving into a data-adjacent role for the first time.
08Do I get a certificate for this course?
Yes — Kankanady students receive a certificate of completion plus a portfolio dashboard project they can show in job applications and interviews.
09What happens if I miss a class?
Sessions are recorded, so Kankanady students can catch up before the next one. Because the course builds toward one portfolio dashboard project, it's worth staying close to the schedule rather than batching multiple missed sessions.
10Can this course help me switch into an analytics career from Kankanady?
Yes — the course is specifically designed for Kankanady learners moving into a data-adjacent role for the first time, as well as analysts who want their insights to actually change decisions rather than just get filed away. The certificate and portfolio dashboard project are built to support that transition in job applications.
I started teaching because I was frustrated seeing marketers memorise theory they'd never use. Every lesson I teach comes from a live campaign, a real mistake, or a real win. You'll leave with skills you can use tomorrow morning.