Data Analytics
The skillset every growing business in Punjab is hiring for right now
Learn Excel, SQL, Python, and Power BI by working on real datasets and building dashboards you can show employers. Small batches of 10–12 students, weekly mentor reviews, documented deliverables, and placement support.
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Batch slots
Course overview
techcadd's Data Analyst Course in Ludhiana is a practical, tool-first program that takes you from spreadsheet basics to SQL querying, Python analysis, and live Power BI dashboards. The learning arc moves from Excel fundamentals and Python programming into NumPy, Pandas, and exploratory data analysis, then into SQL, statistics, and Power BI — with machine learning and deployment added in the longer tracks. You finish with a cleaned dataset, a SQL query set, a live Power BI dashboard, an EDA report, and a documented ML project — plus CV preparation, interview coaching, and placement support.
Curriculum
The Data Analyst program is a nested ladder — each longer track includes every module from the shorter tracks and adds more depth. No module is repeated; you continue building on the same dataset and portfolio from the previous stage. Below is the complete module breakdown for each of the three tracks.
Working knowledge of Excel and core Python syntax for handling and structuring data.
Topics covered
You finish with
3-Month
Object-oriented Python and the core data libraries used for cleaning, transforming, and visualizing datasets.
Topics covered
You finish with
3-Month
Querying, cleaning, and dashboarding skills that turn raw business data into decision-ready insight.
Topics covered
You finish with
3-Month
Writing production-grade SQL and designing relational schemas that support reliable reporting.
Topics covered
You finish with
6-Month
Building interactive, published dashboards that leadership can filter and act on.
Topics covered
You finish with
6-Month
Delivering a complete analytics project from raw data to a presented business recommendation.
Topics covered
You finish with
6-Month
Every module includes hands-on practice on a real dataset or a real deliverable, not a slide demonstration.
What you learn
The Data Analyst Course in Ludhiana at techcadd is designed to take students from spreadsheet basics to SQL querying, Python analysis, and live dashboards.
Build lookup formulas, pivot tables, and charts for everyday business reporting.
Write clean Python with functions, OOP, file handling, and data structures.
Clean, transform, and explore real datasets using NumPy, Pandas, Matplotlib, and Seaborn.
Write joins, subqueries, aggregations, and window functions against relational databases.
Model data, write DAX measures, and publish interactive KPI dashboards.
Apply mean, median, and probability to make defensible analytical claims.
Train, tune, and evaluate predictive models with Scikit-learn.
Tools you’ll work with
The objective is practical knowledge rather than memorised concepts — you finish with a portfolio of documented deliverables you can show employers.
Find your pace
The Data Analyst — Analytics & Business Intelligence syllabus in the order you meet it, and what you are able to do by the end of each stretch of it. Every row is a capability, not a topic you sat through.
| Capability | Foundations | Applied | Professional |
|---|---|---|---|
| Excel FundamentalsExcel & Python Essentials | Covered in Foundations | Covered in Applied | Covered in Professional |
| Tables & FormattingExcel & Python Essentials | Covered in Foundations | Covered in Applied | Covered in Professional |
| Conditional Formatting & FormulasExcel & Python Essentials | Covered in Foundations | Covered in Applied | Covered in Professional |
| Lookup FunctionsExcel & Python Essentials | Covered in Foundations | Covered in Applied | Covered in Professional |
| Pivot Tables & ChartsExcel & Python Essentials | Covered in Foundations | Covered in Applied | Covered in Professional |
| Python IntroductionExcel & Python Essentials | Covered in Foundations | Covered in Applied | Covered in Professional |
| OperatorsExcel & Python Essentials | Covered in Foundations | Covered in Applied | Covered in Professional |
| Conditional Statements & LoopsExcel & Python Essentials | Covered in Foundations | Covered in Applied | Covered in Professional |
| ComprehensionsPython OOP & Data Libraries | Covered in Foundations | Covered in Applied | Covered in Professional |
| FunctionsPython OOP & Data Libraries | Covered in Foundations | Covered in Applied | Covered in Professional |
| OOP — Classes & ObjectsPython OOP & Data Libraries | Covered in Foundations | Covered in Applied | Covered in Professional |
| InheritancePython OOP & Data Libraries | Covered in Foundations | Covered in Applied | Covered in Professional |
| PolymorphismPython OOP & Data Libraries | Covered in Foundations | Covered in Applied | Covered in Professional |
| EncapsulationPython OOP & Data Libraries | Covered in Foundations | Covered in Applied | Covered in Professional |
| File HandlingPython OOP & Data Libraries | Covered in Foundations | Covered in Applied | Covered in Professional |
| Exception HandlingPython OOP & Data Libraries | Covered in Foundations | Covered in Applied | Covered in Professional |
| Data Cleaning & TransformationEDA, SQL & Business Intelligence | Not yet covered in Foundations | Covered in Applied | Covered in Professional |
| Data VisualizationEDA, SQL & Business Intelligence | Not yet covered in Foundations | Covered in Applied | Covered in Professional |
| SQL — DDLEDA, SQL & Business Intelligence | Not yet covered in Foundations | Covered in Applied | Covered in Professional |
| DMLEDA, SQL & Business Intelligence | Not yet covered in Foundations | Covered in Applied | Covered in Professional |
| DCLEDA, SQL & Business Intelligence | Not yet covered in Foundations | Covered in Applied | Covered in Professional |
| SELECTEDA, SQL & Business Intelligence | Not yet covered in Foundations | Covered in Applied | Covered in Professional |
| WHEREEDA, SQL & Business Intelligence | Not yet covered in Foundations | Covered in Applied | Covered in Professional |
| ORDER BYEDA, SQL & Business Intelligence | Not yet covered in Foundations | Covered in Applied | Covered in Professional |
| Joins & SubqueriesEDA, SQL & Business Intelligence | Not yet covered in Foundations | Covered in Applied | Covered in Professional |
| DAX FundamentalsEDA, SQL & Business Intelligence | Not yet covered in Foundations | Covered in Applied | Covered in Professional |
| Complex JoinsAdvanced SQL & Data Modeling | Not yet covered in Foundations | Covered in Applied | Covered in Professional |
| Nested SubqueriesAdvanced SQL & Data Modeling | Not yet covered in Foundations | Covered in Applied | Covered in Professional |
| Common Table ExpressionsAdvanced SQL & Data Modeling | Not yet covered in Foundations | Covered in Applied | Covered in Professional |
| Window FunctionsAdvanced SQL & Data Modeling | Not yet covered in Foundations | Covered in Applied | Covered in Professional |
| Stored ProceduresAdvanced SQL & Data Modeling | Not yet covered in Foundations | Covered in Applied | Covered in Professional |
| Indexing BasicsAdvanced SQL & Data Modeling | Not yet covered in Foundations | Covered in Applied | Covered in Professional |
| Query OptimizationAdvanced SQL & Data Modeling | Not yet covered in Foundations | Covered in Applied | Covered in Professional |
| Relational Data ModelingAdvanced SQL & Data Modeling | Not yet covered in Foundations | Covered in Applied | Covered in Professional |
| Power QueryCapstone Analytics Project & Career Preparation | Not yet covered in Foundations | Not yet covered in Applied | Covered in Professional |
| Data TransformationCapstone Analytics Project & Career Preparation | Not yet covered in Foundations | Not yet covered in Applied | Covered in Professional |
| Star Schema ModelingCapstone Analytics Project & Career Preparation | Not yet covered in Foundations | Not yet covered in Applied | Covered in Professional |
| RelationshipsCapstone Analytics Project & Career Preparation | Not yet covered in Foundations | Not yet covered in Applied | Covered in Professional |
| Calculated ColumnsCapstone Analytics Project & Career Preparation | Not yet covered in Foundations | Not yet covered in Applied | Covered in Professional |
| MeasuresCapstone Analytics Project & Career Preparation | Not yet covered in Foundations | Not yet covered in Applied | Covered in Professional |
| DAX Time IntelligenceCapstone Analytics Project & Career Preparation | Not yet covered in Foundations | Not yet covered in Applied | Covered in Professional |
| Row-Level SecurityCapstone Analytics Project & Career Preparation | Not yet covered in Foundations | Not yet covered in Applied | Covered in Professional |
| End-to-End Analytics ProjectCapstone Analytics Project & Career Preparation | Not yet covered in Foundations | Not yet covered in Applied | Covered in Professional |
| Business Question FramingCapstone Analytics Project & Career Preparation | Not yet covered in Foundations | Not yet covered in Applied | Covered in Professional |
| Data Cleaning PipelineCapstone Analytics Project & Career Preparation | Not yet covered in Foundations | Not yet covered in Applied | Covered in Professional |
| SQL Analysis LayerCapstone Analytics Project & Career Preparation | Not yet covered in Foundations | Not yet covered in Applied | Covered in Professional |
| Power BI Reporting LayerCapstone Analytics Project & Career Preparation | Not yet covered in Foundations | Not yet covered in Applied | Covered in Professional |
The full programme runs 3 / 6 / 9 Months. Where you finish is a question of pace rather than of syllabus — everyone covers all of it.
The case for it
A course is worth the time you give it only if you finish with work you can show and skills you can defend.
Handle missing values, duplicates, and inconsistent formats in Python and Excel.
Write joins, subqueries, and aggregations against a real relational database
Model data and publish KPI dashboards in Power BI.
Turn analysis into a business recommendation a manager can act on.
Why this course
Six things we hold ourselves to for every Data Analyst — Analytics & Business Intelligence batch that starts in Ludhiana.
You'll leave with 2–3 real projects to show in an interview, not just a certificate.
You work on live datasets in Excel, SQL, Python, and Power BI — not sample files made for teaching.
Joins, subqueries, and window functions written against a real relational database, not textbook examples.
You publish live dashboards with DAX measures, KPI cards, and drill-through — the reporting layer employers actually ask for.
Every student receives a documented internship certificate alongside their course certificate.
Resume and LinkedIn preparation, interview coaching, and active placement assistance for analyst roles.
Why TechCadd
What genuinely differs about this program at techcadd is that every tool is applied to the same continuous dataset, so you finish with an end-to-end portfolio rather than disconnected certificates.
You clean it in Python, query it in SQL, model it in Power BI, and present it as a recommendation — the way analysts actually work.
Your instructors are active practitioners, not career academics.
10–12 students per batch ensures every student gets personalised feedback on every deliverable.
Longer programs include everything from shorter tracks and add more depth — you never repeat a module.
Every student receives a documented internship certificate alongside their course certificate.
Resume and LinkedIn preparation, interview coaching, and active placement assistance for graduates.
Who can join
This course works for a specific starting point — here's who gets the most out of it.
Start with Excel and Python fundamentals and finish with a dashboard portfolio, without needing a prior coding background.
Add SQL and Power BI to your existing domain knowledge and move into analyst roles without leaving your job, using weekend batches.
Move from non-technical work into analytics with a structured path covering Excel, SQL, Python, and Power BI, plus a documented portfolio.
Learn to query your own sales and operations data, build dashboards, and make decisions from numbers instead of guesswork.
Not sure which of these you are, or whether the timing works around what you already do? That is exactly what the call is for. Ask about Data Analyst — Analytics & Business Intelligence
Technology ecosystem
Data Analyst — Analytics & Business Intelligence is the centre. These are the tools you use around it in a working team.
Hands-on projects
Each one lands in your portfolio with the working files, the process and something a reviewer can open.
Certification
Finish the Data Analyst — Analytics & Business Intelligence programme at techcadd Ludhiana and you leave with more than a line on a CV — a verifiable certificate, and the project work that makes it mean something in an interview.
Issued in your name on completion of the Data Analyst — Analytics & Business Intelligence syllabus, with a reference number an employer can verify with us.
A separate certificate for the capstone you submit, naming the project so the work is attached to the credential.
Students who complete the live-project phase receive an internship letter covering the duration and the work delivered.
Every file, repository and deployed link stays yours — the part of the credential a reviewer can actually open.
techcadd has been training in Ludhiana since 2007. The certificate carries that record; the Data Analyst — Analytics & Business Intelligence work you did carries the rest.
This is to certify that
has successfully completed the Data Analyst — Analytics & Business Intelligence programme
Data Analyst — Analytics & Business Intelligence Program
This is to certify that
for project work delivered under supervision in Ludhiana
Data Analyst — Analytics & Business Intelligence capstone
Where it takes you
The route from your first module to the roles Data Analyst — Analytics & Business Intelligence opens — and the work that has to exist at each step.
Employers check your ability to clean data, write SQL queries, and build dashboards that answer a specific business question.
Employers assess how well you frame a business problem, model the data, and present findings to non-technical stakeholders.
Employers verify your Excel and reporting skills, including pivot tables, lookup functions, and scheduled report generation.
Employers test your data modeling, DAX measures, dashboard design, and publishing workflow.
Employers evaluate your ability to maintain reliable recurring reports and query sets against production data.
Employers check your ability to train, validate, and interpret predictive models on real datasets.
Salary outlook
Indicative ranges for the roles this course opens — what a fresher out of Ludhiana is offered, what the metro and remote markets pay for the same skills, and how that moves with two or three years of work behind you.
| Role | Ludhiana & Punjab | Delhi NCR & Bengaluru | Remote & freelance |
|---|---|---|---|
| Data AnalystEntry | ₹2.4–4.2 LPA | ₹4–8 LPA | ₹20k–45k / project |
| Business Analyst Entry to mid | ₹3.6–6.5 LPA | ₹6.5–14 LPA | ₹35k–90k / project |
| MIS ExecutiveEntry to mid | ₹3.6–6.5 LPA | ₹6.5–14 LPA | ₹35k–90k / project |
| Power BI Developer Mid | ₹3.6–6.5 LPA | ₹6.5–14 LPA | ₹35k–90k / project |
Ranges are indicative, drawn from what our own students report and from openings we see through the placement cell. Actual offers depend on your portfolio, the interview and the company — nobody can promise you a number, and we do not.
Data Analyst, Business Analyst , MIS Executive, Power BI Developer and related positions, depending on which part of the syllabus you go deepest on.
The first jump usually comes at 18–24 months, once you have shipped work you can point to. Depth in one area moves it faster than breadth across many.
Yes, and a good number of our students do. Remote and contract work is the reason Ludhiana candidates now compete for the same briefs as metro ones — the portfolio travels, the address does not matter.
IT services, manufacturing and export units running automation, e-commerce and D2C brands, healthcare, education, and the agencies serving all of them. Punjab hiring is broader than it looks from a job board.
It helps with the practical half. The projects and tooling carry into an M.Tech, MCA or a specialisation abroad, and the portfolio is often what separates two applicants with the same marks.
Future scope
The skill does not stand still, and neither does what it is worth.
Entry roles such as Data Analyst open as soon as you have projects that run. At this stage nobody is asking about your marks — they are asking you to walk through something you built.
The generalists plateau; the specialists do not. Depth in one part of Data Analyst — Analytics & Business Intelligence — the part your first job leans on hardest — is what moves you towards business analyst work.
Architecture, standards, hiring and mentoring. The technical skill is assumed by now; what you are paid for is judgement, and judgement only comes from having shipped things that mattered.
Teams expect Data Analyst — Analytics & Business Intelligence work to be done alongside AI tooling. It raises the floor on output and raises the bar on what counts as a junior — which is exactly why the fundamentals in this course are taught the hard way.
What used to be one narrow role now touches data, deployment and the product decision behind it. Every extra layer of Data Analyst — Analytics & Business Intelligence you understand is another kind of room you get invited into.
Remote and hybrid hiring means Ludhiana, Jalandhar and Chandigarh candidates now compete for the same roles as Bengaluru ones. Location has stopped being the ceiling it used to be.
Hiring has moved to portfolios, take-home tasks and live problem solving. A certificate opens a shortlist; work that runs is what gets you through the round after it.
Hiring across
The comparison
What actually differs between this course at techcadd and a typical alternative.
| What to ask about | techcadd | Other institutes |
|---|---|---|
| Learning format | One continuous dataset across every tool | Tools taught in isolation |
| Tools used | Excel, SQL, Python, Power BI, Scikit-learn, Streamlit | Usually Excel and basic SQL only |
| Batch size | 10–12 students per batch | Often 25–40 students per batch |
| SQL depth | Joins, subqueries, window functions, schema design | Often only basic SELECT statements |
Every comparison here is about substance, not marketing language.
Student Voices
Feedback from students who completed the Data Analyst — Analytics & Business Intelligence programme at techcadd Ludhiana.
Simranjeet Kaur
Data Analyst — Analytics & Business Intelligence / B.Sc. IT graduate
I joined with no background in this. By the third month I was building Data Analyst — Analytics & Business Intelligence work on my own, and the project reviews are where I actually learnt to do it properly.
Harman Sethi
Data Analyst — Analytics & Business Intelligence / Now working as an intern in the field
The classes are practical. Every session ends with a task that has to work, so you cannot fake understanding. That habit helped me most in interviews.
Ankit Verma
Data Analyst — Analytics & Business Intelligence / BCA final year
Doubt support was the difference for me. My trainer sat with my work, found the mistake and made me fix it myself instead of handing over the answer.
Navjot Singh
Data Analyst — Analytics & Business Intelligence / Career switch from operations
I came for the skill and left with a portfolio — projects I could actually demo on a call, not a certificate I had to explain.
Simranjeet Kaur
Data Analyst — Analytics & Business Intelligence / B.Sc. IT graduate
I joined with no background in this. By the third month I was building Data Analyst — Analytics & Business Intelligence work on my own, and the project reviews are where I actually learnt to do it properly.
Harman Sethi
Data Analyst — Analytics & Business Intelligence / Now working as an intern in the field
The classes are practical. Every session ends with a task that has to work, so you cannot fake understanding. That habit helped me most in interviews.
Ankit Verma
Data Analyst — Analytics & Business Intelligence / BCA final year
Doubt support was the difference for me. My trainer sat with my work, found the mistake and made me fix it myself instead of handing over the answer.
Navjot Singh
Data Analyst — Analytics & Business Intelligence / Career switch from operations
I came for the skill and left with a portfolio — projects I could actually demo on a call, not a certificate I had to explain.
Simranjeet Kaur
Data Analyst — Analytics & Business Intelligence / B.Sc. IT graduate
I joined with no background in this. By the third month I was building Data Analyst — Analytics & Business Intelligence work on my own, and the project reviews are where I actually learnt to do it properly.
Harman Sethi
Data Analyst — Analytics & Business Intelligence / Now working as an intern in the field
The classes are practical. Every session ends with a task that has to work, so you cannot fake understanding. That habit helped me most in interviews.
Ankit Verma
Data Analyst — Analytics & Business Intelligence / BCA final year
Doubt support was the difference for me. My trainer sat with my work, found the mistake and made me fix it myself instead of handing over the answer.
Navjot Singh
Data Analyst — Analytics & Business Intelligence / Career switch from operations
I came for the skill and left with a portfolio — projects I could actually demo on a call, not a certificate I had to explain.
Real, unedited feedback from techcadd learners on Google.
Frequently asked questions
The 7 things people ask most often about the Data Analyst — Analytics & Business Intelligence course at techcadd Ludhiana.
The complete Data Analyst — Analytics & Business Intelligence programme runs for 3 / 6 / 9 Months depending on the batch you choose. Weekday, weekend and fast-track options are available, along with shorter modules for students who only need the fundamentals.
School students after 12th, college students from any stream, graduates and working professionals changing track. The first module assumes no prior experience.
No. The course starts from the basics. If you already have some background, your trainer will move you faster through the first module so you reach the project work sooner.
Excel, Python, NumPy, Pandas, Matplotlib, Seaborn, SQL, Power BI and Streamlit — plus the day-to-day tooling and workflow that surrounds them in a real team.
Yes. Each module closes with a lab project, and the course ends with a capstone you can put on your portfolio and defend in an interview.
Placement support includes resume and portfolio review, aptitude and role-specific practice, mock interviews and interview referrals through our hiring network.
Yes. You receive a techcadd Data Analyst — Analytics & Business Intelligence completion certificate, and a separate project certificate for the capstone you submit.
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