Flagship project
Sales Performance Dashboard
A modelled Power BI report with drill-through by region, product and rep.
- Power BI
- Tableau
- Python
AI & Data · TechCadd AmritsarTrending
Data Analytics course in Amritsar
Data Analytics course in AmritsarExcel, SQL, Power BI and Python — the practical analyst toolkit, taught in the order a business actually uses it.
4 – 6 monthsBeginner to intermediateClassroom & live online
4.7/5
Student rating
8
Structured modules
3+
Portfolio projects
Yes
Placement support
About the programme
Course overview
Course overviewAnalytics work is 70% getting the data right and 30% presenting it well, and this course is structured in exactly those proportions.
The data analytics programme at TechCadd Amritsar is built the way the work is actually done: you handle the data, train and break the models, then ship something that runs. Tools such as Excel, SQL, Power BI are installed on your own machine in week one, not shown on a slide in week ten.
It runs across 4 – 6 months with morning, evening and weekend batches, and every module closes in a reviewable artefact. By the end you hold a certificate, a portfolio, and the ability to talk through your own decisions in an interview for a data analyst role.
Every concept is implemented before it is examinedMentors are working practitioners, not career trainersProjects are reviewed line by line, not just marked completeDoubt sessions and lab access run outside batch hours
- Duration
- 4 – 6 months
- Level
- Beginner to intermediate
- Mode
- Classroom & live online
- Batches
- Morning, evening & weekend
Eligibility
Who can join the Data Analytics course
Who can join the Data Analytics courseThere is no entrance test and no restrictive prerequisite. What follows is what the programme actually checks for before you enrol.
- Educational backgroundNo specific degree or stream required — school leavers, graduates and career switchers all qualify.
- Prior experienceNone required. The programme opens at beginner level and builds from there across 4 – 6 months.
- AgeNo upper age limit. What matters is being able to commit to the full course rather than dropping off midway.
- EquipmentA laptop or desktop with a stable internet connection for classroom or live-online batches.
- Time commitmentAble to attend regularly across 4 – 6 months, in a morning, evening or weekend batch.
Where it leads
The roles this portfolio opens
Job titles vary by company, but the underlying expectations do not. Each destination below maps to work you will have already done during the programme.
The honest pitch
Why this programme is worth your year
Why this programme is worth your yearMost data analytics training in this region stops at the tutorial: you follow along, the notebook runs, nothing is retained. This programme is built the other way round — every module hands you an unfinished problem and a deadline, and a mentor reviews what you did with it.
That is slower and harder than watching lectures. It is also the only version that survives an interview, because the questions there are about the decisions you made, not the code you copied.
Project review week at the Amritsar campus
Mentors mark up work line by line
Hiring drive & mock interview day
Practitioners run the panel, not HR
Tools you will actually use
The working stack for Data Analytics
Tools and technologies coveredEvery tool below is installed, configured and used by you during the course — not demonstrated on a slide. You leave able to set up your own environment from scratch.
10tools covered
Core
- Excel
- SQL
- Power BI
- Tableau
Working set
- Python
- Pandas
- Power Query
- DAX
Shipping
- Google Analytics
- Git
Certification
Get certified in Data Analytics
Get certified in Data AnalyticsIssued on completion against the modules you finished and the projects you submitted — plus an internship letter where the industrial training track applies. Shareable to LinkedIn, and verifiable by an employer who calls the Amritsar desk.
- Module-wise assessment, not attendance-based
- Project submissions logged against your certificate
- Internship letter on the industrial training track
- Verifiable directly with the campus office
Module by module
Open any module and see exactly what happens inside it
Module by module curriculum8 modules, each ending in something reviewable that goes into your portfolio.
Module 01 of 08AI & Data
Advanced Excel
Advanced Excel is where the Data Analytics track gets its footing. You work the concepts in the lab first, then carry them straight into the running project rather than leaving them as isolated exercises.
Skills you build
- Lookup and dynamic arrays
- Pivot modelling
- Power Query
Tools in this module
ExcelSQLPower BITableau
You finish with
A reviewed piece of work demonstrating lookup and dynamic arrays and pivot modelling.
Future scope
Where data analytics is headed from here
Where data analytics is headed from hereA certificate answers what you can do today. This is the honest answer to what data analytics looks like three to five years out, and why the fundamentals this course spends real time on are what carry you there.
- Demand is structural, not seasonalEvery company sitting on years of data is now under pressure to turn it into forecasts, automation and decisions — and that pressure is still climbing, not levelling off.
- The skill ladder keeps climbingData Analyst is the entry rung, not the ceiling. Once that portfolio is in place, business analyst is the realistic next step — a promotion earned on the job, not a second course you have to go back and pay for.
- Tooling changes; fundamentals compoundExcel and the rest of the stack will look different in five years — they always do. What does not expire is the fundamentals this course is built around, which is why the syllabus is reviewed each intake instead of frozen once and reused.
- Remote and hybrid widen the marketA data analytics portfolio built in Amritsar competes for the same remote and hybrid roles as anywhere else. Companies hiring for this work are increasingly indifferent to which city the offer letter is posted to.
The 4 – 6 months programme is built around the part that is genuinely in your hands — and you leave holding all of it.
A reviewed portfolio, an industry-recognised certificate and a fundamentals-first foundation you can keep building on. Markets move, as they always have; that foundation is exactly what lets you move with them as AI and data work around you keeps shifting.
What you build
Projects that answer the interview question for you
Portfolio projectsEach project is reviewed individually, and the review notes go into your portfolio documentation.
Customer Cohort Analysis
Retention curves built in SQL and visualised with a written interpretation.
- Python
- Pandas
- Power Query
Automated Weekly Report
A Python script that refreshes, formats and distributes a recurring report.
- Power Query
- DAX
- Google Analytics
The working loop
Learn it. Build it. Make it yours.
Learn it. Build it. Make it yours.Every project moves through the same loop: understand the brief, build it with guidance, then explain the decisions behind your work. The certificate is the receipt — the portfolio is the point.
- 01
Understand
Break a real requirement into a plan, the constraints it has to live inside, and the right tool for each part of it.
Sales Performance Dashboard
- 02
Build
Work hands-on with trainer feedback arriving while the decisions are still cheap to change.
Customer Cohort Analysis
- 03
Present
Turn the finished work into a portfolio story you can defend line by line in an interview.
Automated Weekly Report
Why choose Data Analytics
Why students choose techcadd
Why students choose techcaddTwo decades of training in Amritsar, in a format that has not changed since: small batches, real projects, mentors who still work in the field.
- 01
Practitioner-led teaching
Your mentor works in data analytics for a living. The examples in class come from that work, and so do the shortcuts.
- 02
Small, fixed batches
Batch sizes are capped so a raised hand gets answered in the session it was raised in, not weeks later.
- 03
Reviewed, not marked
Every submission comes back annotated, line by line. The notes are the point — they are what you carry into the interview.
- 04
Current tooling
We teach Excel, SQL, Power BI and refresh the list each intake, because a stale stack is worse than no stack.
- 05
Flexible batches
Morning, evening and weekend tracks, classroom or live online, with recordings either way for revision.
- 06
Support that continues
Resume and portfolio review, mock interviews and hiring-drive access — and it does not stop the day the course ends.
Student reviews
What the last few batches actually said
Data Analytics course reviewsCollected from students who completed the data analytics programme at the Amritsar campus, across morning, evening and weekend batches. Hover a card to stop the row and read it.
4.7
out of 5
153 verified reviews from Amritsar students
- 5★
- 83%
- 4★
- 9%
- 3★
- 5%
- 2★
- 2%
- 1★
- 1%
I joined the Data Analytics batch with almost no background, and what made the difference was that advanced excel was taught by building rather than by slides. By the third week I was debugging my own code instead of copying someone else's.
The project reviews are the real value. My customer cohort analysis was picked apart line by line, and those notes are exactly what I ended up talking through in the interview that got me a business analyst offer.
Weekend batches meant I kept my job through the whole 4 – 6 months. Anything I missed got re-explained without fuss, and lab access outside batch hours was never a problem.
Power Query and the rest of the stack were set up on day one, so no week went into environment issues. Batches are small enough that a doubt gets answered the same day instead of piling up.
I had tried learning data analytics on my own twice and stalled both times. A fixed batch in Amritsar, a mentor who checks your work and a deadline on every module is the only reason I finished.
Placement support was not just a line on the brochure — resume and portfolio review, two mock interviews with people who do the job, and a referral into one of the hiring drives.
The syllabus is current. We worked in Tableau rather than the older tooling most data analytics syllabi around here still teach, and that came up directly in my first interview.
The balance of theory to lab time is about right: enough to understand why something works, then straight into building. I left with 3 projects I can demo, not just a certificate.
Before you enrol
Questions we get asked at the admissions desk
Frequently asked questionsIf something here is not covered, the Amritsar desk will answer it directly — no call-back queue.
No. The programme opens at beginner level and assumes no background beyond comfort with a computer. Students who already have some exposure move through the early modules faster and spend the saved time on project work.
