4.8 LPAHyderabadAnkit Singh
Data Analyst
- Placed at
- FINELABS
- Program
- Data Analytics Batch
- Batch
- DA/09/0823/S WD 7PM
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Read More →A hand-stitched football from Jalandhar's Basti Sheikh and Sports Industrial Complex starts as 32 flat panels. A stitcher joins them one seam at a time, and if a single seam is loose the ball loses shape after the first match. A dataset behaves the same way: dozens of separate pieces — sales, stock, returns, customers — must be joined tightly before the result can take any pressure. Jalandhar is full of such pieces: sports goods exported worldwide, hand tools, leather and rubber goods, valves and pipe fittings, a Doaba economy fuelled by NRI remittances, fast-growing private universities such as LPU nearby, NIT Jalandhar, hospitals, and wholesale and retail trade. Uncodemy's Data Analytics Course teaches Jalandhar learners how to stitch it all together over 6–7 months of live online classes in Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI.
No Uncodemy classroom exists in the Doaba. Face-to-face teaching happens only at Noida and at Shakarpur Extension, Delhi, whose building faces DSEU Ambedkar College a short walk from the Nirman Vihar and Laxmi Nagar Metro stations. From Jalandhar you join exactly those batches on live video — 120-plus hours of learning, upward of 75 trainer-led sessions, real projects and your own placement mentor — for ₹17,500, which GST at 18% lifts to ₹20,650.
For six to seven months, Jalandhar learners stitch Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI panel by panel in live online classes, practising on sports-goods export, hand-tool, retail and healthcare data; a mentor tests every seam, and mock interviews act as the match-day trial.
When the ball is finished, a Jalandhar learner can take loose panels of data — an exporter's order sheet, a tool maker's production log or a hospital's billing records — and stitch them into a clean, analysed, persuasive answer, using the right tool for each seam. Placement preparation then begins and eligible learners apply for analyst positions; some alumni from our records are listed.
4.8 LPAHyderabadData Analyst
4.8 LPAIndiaData Analyst
4.0 LPADelhiData Analyst
3.25 LPAPuneData Analyst
3.0 LPANoidaData Analyst
3.0 LPADelhiData Analyst
Location badges show where each learner was placed. Jalandhar learners join these same live online batches and the same career-preparation process; outcomes depend on individual effort and the job market.
A Jalandhar cricket-bat exporter wants to know why Australian orders surged while UK orders fell; a hand-tool manufacturer in Focal Point sees rejection rates jump on certain machines; a Model Town showroom wonders which brands actually bring repeat buyers. The clues are in each one's records, but in separate panels. Data analytics stitches them — joining and cleaning the data, testing patterns with statistics and presenting the finished shape as a chart a decision-maker understands.
A Jalandhar analyst might, in a single week, write SQL against an export ERP, factory or retail database, cut away repeated entries and blank cells, compare products, machines or stores in Excel or Python, build a Power BI or Tableau dashboard, and talk a factory owner or sales head through the result and the next step.
Take a Jalandhar sports-goods exporter. Data analytics explains why last season's football orders dipped; data science forecasts demand ahead of major tournaments; business analytics recommends which products, markets and price points to prioritise.
| Aspect | Data Analytics | Data Science | Business Analytics |
|---|---|---|---|
| Core question | What happened, and why? | What will happen next? | What should the business do? |
| Coding depth | Low to moderate | High | Low |
| Typical entry salary | ₹3–6 LPA | ₹8–18 LPA | ₹4–7 LPA |
| Time to job-ready | 6–7 months | 9–12 months | 5–6 months |
Fresher salary figures are rounded from the cited sources; Doaba offers change with employer, role, skills, experience and timing.
Jalandhar learners complete 6–7 months: 75-plus live online sessions adding up to 120-plus hours. The first panels are Excel and SQL; the middle seams are Python, statistics, data cleaning and exploratory analysis; the final stitching is Power BI, Tableau and Generative AI. Sports goods, hand tools, retail and healthcare data are used all along, a guided project caps each stage, and the capstone is a ball you stitch entirely yourself.
Eligibility: Any bachelor's degree will do (see the eligibility criteria page). We assume no coding — SQL and Python are taught right from the basics. School arithmetic is sufficient; statistics is explained in full during the course. You'll need a laptop with 8GB RAM and dependable internet.
Weekday and weekend live batches are open to Jalandhar learners, timed around factory shifts, shop hours and university classes. Try a free online demo session before enrolling.
Seats are limited and updated daily. All timings are in IST.
Nine modules and 120-plus hours follow how a ball is made: cut the panels (collect data), check them for flaws (clean), stitch them together (analyse), test the shape (interpret), print the design (visualise) and hand it to the player (present). Each module ends with a practical assessment on real data; module nine completes your portfolio.
| Module | Topic | Hours | Tools |
|---|---|---|---|
| 1 | Excel for Data Analytics | 12 | Excel, Power Query |
| 2 | SQL & Database Management | 18 | MySQL |
| 3 | Python for Data Analytics | 20 | Python, Pandas, NumPy |
| 4 | Statistics & Business Mathematics | 12 | Excel, Python |
| 5 | Data Cleaning & EDA | 12 | Python, Pandas |
| 6 | Power BI | 18 | Power BI Desktop |
| 7 | Tableau | 10 | Tableau Public |
| 8 | AI & Gen AI for Analysts | 8 | ChatGPT, Copilot |
| 9 | Capstone & Career Prep | 10 | All tools |
| Total | 120 Hours | 10+ tools |
Irshad Khan — Senior Trainer, 8+ Years Experience. Specialization: Data Science, Data Analytics, Business Analyst, SQL, Power BI, Python, Generative AI, Agentic AI.
When a Jalandhar learner finishes the modules, assignments and capstone, Uncodemy issues its Data Analytics Program Certificate — carrying the course name, duration, tools covered, date of completion and an authentication code.
A buyer squeezes a football before paying. Recruiters squeeze your portfolio the same way — graded spreadsheet, SQL, Python, statistics, BI and Gen AI work, plus a capstone seamed by you alone — and the certificate simply confirms what that work already shows.
Exporters, factories, banks and hiring teams anywhere — in India or overseas — can verify a Jalandhar learner's certificate on Uncodemy's portal.
Uncodemy Certificate Verification — Online Certificate Verification & Download: certificate.uncodemy.com
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Uncodemy is a brand of Uncodemy Edutech Pvt. Ltd. and builds each course around one measurable aim — learners who get hired. Its classrooms are in Delhi and Noida, and online learners in Jalandhar and elsewhere attend those same lessons live.
Over the months you'll work Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI against genuine datasets, close to what analysts handle for Basti Sheikh exporters, Focal Point tool units, Model Town retailers and city hospitals. Every module is listed publicly before admission.
Live classes are wrapped in mentor hours, marked practice sets, project critiques, mock interviews and job alerts. You'll receive the career support policy in writing before paying, so what it does, what it doesn't and who qualifies are all on paper.
Rather study AI, ML, Data Science or Business Analysis? Jalandhar learners can switch to any of those live online Uncodemy tracks.
Start in Jalandhar — join live classes, practise on sports-goods, tool and retail data, build a portfolio and prepare for analyst roles in Punjab, Chandigarh, Delhi NCR or remote teams.
Jalandhar is India's best-known sports-goods hub, producing cricket bats, footballs, hockey sticks, boxing equipment, fitness gear and sportswear for domestic brands and export markets. Manufacturers and exporters manage orders, sampling, costing, production lines and shipments — data that grows more valuable when someone can analyse it.
The city also manufactures hand tools, valves, pipe fittings, rubber goods and leather products, concentrated in Focal Point and the industrial estates. Production planning, quality control and dealer networks all generate reporting needs. Doaba's agriculture and dairy sectors add procurement and supply data.
Strong NRI links fuel banking, foreign-exchange, immigration-consultancy and travel businesses, along with real estate and premium retail. NIT Jalandhar, LPU (just outside Phagwara), DAV University and many colleges produce graduates every year, and hospitals in the city serve a wide area.
Ludhiana is about 60 km away, Amritsar 80 km and Chandigarh roughly 150 km, and remote analytics roles add more options. Everywhere, employers expect SQL and a BI tool; what wins the job is the ability to frame a question well and give a clear recommendation.
In the Doaba, first jobs usually read Data Analyst, Business Analyst, MIS Executive/Analyst, BI Analyst, Marketing/Product Analyst or Operations Analyst. A bat-and-ball exporter wants margin-by-market sheets, a hand-tool maker wants machine-wise reject views and an NRI-focused bank branch wants customer dashboards — SQL, spreadsheets and a BI tool produce them all.
| Role | Core Tools |
|---|---|
| Data Analyst | SQL, Excel, Python, Power BI |
| Business Analyst | SQL, Excel, BI tools |
| MIS Executive / Analyst | Excel, SQL, Power BI |
| Business Intelligence Analyst | Power BI, Tableau, SQL, DAX |
| Marketing / Product Analyst | SQL, Python, BI tools |
| Operations Analyst | Excel, SQL, Power BI |
Doaba freshers usually start as Data, MIS or Business Analysts and, within two to four years, advance into BI, export supply-chain, manufacturing or financial-services analytics, picked for solid analysis and sector understanding.
What you earn depends on experience, industry and the SQL and BI ability you can prove; the same title can pay very differently. Basic charts earn starting pay; tight queries, sharp framing and persuasive recommendations earn more and quicker progress.
| Career Level / Role | Indicative Salary Range |
|---|---|
| Entry-Level Data Analyst | ₹3–6 LPA |
| Data Analyst (Mid-Level) | ₹6–10 LPA |
| Senior Data Analyst | ₹10–15 LPA |
| Business Intelligence Analyst | ₹7–12 LPA |
Sources reviewed: AmbitionBox, Glassdoor, Indeed and Uncodemy placement records. Reviewed: 12 October 2026.
Large exporters, banks and hospitals often pay mid-band, smaller workshops and shops may start lower, and Chandigarh, NCR or remote employers can pay more. All figures are indicative; Uncodemy guarantees no job or salary.
Uncodemy's placement network includes more than 850 companies across India. Around Jalandhar, analysts find work in:
Sports goods manufacturing and export — orders, costing, production and shipment analytics
Hand tools, valves, rubber and leather — production, quality and dealer reporting
Banking, forex and immigration services — customer and transaction analytics for NRI-linked businesses
Universities, hospitals and premium retail — enrolment funnels, patient flow and showroom sales
Ludhiana, Chandigarh and remote roles — analytics jobs beyond the Doaba
An exporter, a tool plant and a bank will test a candidate on different things, so settle on one lane early and tailor your portfolio to it.
Becoming an analyst is like stitching a match ball: every seam must be pulled tight in order. A loose seam early on — a skipped skill — makes the ball lose shape under pressure, usually in a technical interview or your first month at work.
Cutting panels, Excel — lookups, pivots and Power Query until a product-by-product or buyer-by-buyer summary is a five-minute job.
Stitch the seams, SQL — joins across orders, production and shipments, grouped totals, subqueries and window functions.
Inflate and shape, Python — Pandas and NumPy for big export or factory logs and automated reports.
Bounce test, statistics — samples, confidence intervals, significance and a basic regression, so your claim about rejects or orders holds up.
Printing the logo, a BI tool — Power BI with DAX measures or Tableau calculated fields, arranged so an owner needs no walkthrough.
Match-ready, a Jalandhar portfolio — three to five projects, such as export orders by tournament season or tool rejection by machine, each ending in a recommendation.
Kick-off, interviews — timed SQL practice, spoken business cases and a CV showing what each project achieved.
Allow roughly six to seven months of steady stitching; by then most Jalandhar learners walk into interviews feeling match-fit.
Analytics courses available to Jalandhar learners range from local coaching centres to Chandigarh institutes and online bootcamps. Here's precisely what Uncodemy's course includes.
| Factor | This Program |
|---|---|
| Duration | 6–7 months |
| Learning hours | 120+ hours |
| Tools covered | 10+ tools |
| Gen AI module | Dedicated 8-hour module |
| Projects | 5 guided + 1 capstone |
| Career support | Resume, LinkedIn, mock interviews, hiring network |
That range mirrors what recruiters want from freshers today — Excel clean-up, SQL retrieval, Python automation and dashboard storytelling, all in one person. Pre-recorded courses are cheaper, and an export office that just wants sharper Excel and Power BI sheets could reasonably pick one.
In every mode the syllabus, trainers, projects and fee are identical. For Jalandhar, live online classes are the obvious choice — learn from home, get doubts cleared in class and plan around factory, shop or university hours.
Delhi lies about 380 km from Jalandhar — close enough for an occasional visit, too far for routine hybrid study. Remote learners keep live classes, recordings, doubt clinics and full placement help, and an approved format switch carries every finished module across.
| If you want... | Recommend |
|---|---|
| Only Excel + Power BI basics | A shorter course may be sufficient |
| Full analyst career transition | This program |
| Heavy ML/Data Science | Choose Data Science |
| Business-focused analytics | Consider Business Analytics |
| Self-paced learning | Recorded course |
Faculty behind the Jalandhar batches. Jalandhar learners are taught in real time by trainers who also teach in our Delhi and Noida classrooms — same faculty, same syllabus, delivered live online. Senior Trainer Irshad Khan heads the Data Analytics track and signed off its curriculum.
Uncodemy keeps teaching and checking separate: domain reviewer Upendra Kumar Tiwari verifies the content without teaching the batch. In doubt-clearing sessions, trainers often rework examples around hand tools and leather and NRI banking and remittances — the kind of data employers in Jalandhar & the Doaba actually hold.
All trainers and reviewers are published on the Uncodemy trainers page with their domain and experience.

Data Analytics Trainer
Expertise5+ years across roles at Concentrix, Amazon and Tech Mahindra. A certified Data Scientist who now teaches data science and analytics as Academic Faculty at Uncodemy.
Credit risk management analytics at Tech Mahindra, business communications analytics, and chatbot solutions built with prompt engineering and machine learning.

Senior Data Science Trainer
Expertise15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.

Data Analytics & AI Trainer
Expertise8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.

Data Analytics & AI Trainer
Expertise7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
AI agent chat/voice bot, AI-driven data analysis, a sales-forecasting ML model, NPS data model evaluation, and a face-recognition model for biometrics.

Data Analytics Trainer
Expertise5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.

Data Analytics Trainer
ExpertiseTrainer for the analytics and business intelligence track at Uncodemy, working with learners on Excel, SQL and BI tooling from first principles to interview-ready projects.
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.

Data Analytics Trainer
Expertise3+ years building generative AI and machine learning systems, now Senior Gen AI Engineer at Uncodemy, with deep work in RAG, knowledge graphs, data analysis and AWS.
NEMI, an enterprise memory system built on RAG, knowledge graphs and vector databases, plus automated web-scraping bots and generative AI chatbots and predictive analytics for startups.

Data Analytics Trainer
Expertise14+ years in banking and insurance operations at Aon Hewitt, NIIT Technologies and Coforge, now teaching Excel, SQL, Python and Power BI through real business scenarios.
MIS reports and Excel dashboards for leadership tracking SLAs, error rates and backlog, SQL data cleaning and validation across systems, and live Power BI dashboards.

MD & CEO
ExpertiseFounder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.

CEO & Founder
ExpertiseCEO & Founder of GvCloud Secure and Uncodemy with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Count on six to seven months, made of 75-plus live online classes and 120-plus hours; Jalandhar learners choose a weekday or weekend batch.
Coding knowledge isn't expected. Sports-goods merchandisers, bank staff and commerce graduates from Jalandhar start SQL with a SELECT and Python with variables in class; Excel and SQL dominate the first two months.
Ten-plus — SQL, Python, Pandas and NumPy do the data lifting, Statistics checks findings, Excel, Power BI and Tableau present them, and ChatGPT with Copilot trims routine work.
Module 8 gives Gen AI eight hours: prompting an assistant clearly for data tasks, inspecting the SQL or Python it generates, using Copilot in Excel and Power BI, and identifying misleading answers.
The five guided builds use retail, banking, HR, e-commerce and healthcare data; the sixth is a capstone you choose. Tournament-season export orders or machine-wise rejection data would give a Jalandhar capstone an edge.
Yes, all of them — 75-plus real-time classes, every one recorded for later. Each format shares a single syllabus.
The fee totals ₹20,650 for a Jalandhar learner (₹17,500 base plus 18% GST); you can split it into EMIs starting at ₹4,032 monthly.
EMIs from ₹4,032 a month are available; your lender sets the tenure and decides approval, with a counsellor to guide you.
Yes — join a free online demo from Jalandhar, meet the trainer and browse the syllabus before paying anything.
Placement help means a reworked CV and LinkedIn profile, portfolio critique, practice interviews and openings from 850-plus partner firms. Final selection belongs to the employer, so no one can promise a job.
Sports-goods and tool exporters, leather and rubber units, NRI-focused banks and forex firms, hospitals and remote teams recruit freshers who can prove SQL, a dashboard tool and finished projects; opening packages commonly run ₹3–6 LPA.
Indicatively ₹3–6 LPA for freshers, ₹6–10 LPA after a few years and ₹10–15 LPA at senior level. Doaba employers may pay below Chandigarh or NCR for the same title, so treat these as a guide.
Freshers here mostly enter as Data, MIS or Business Analysts; BI, export supply-chain, factory or banking analytics are typical next moves.
Yes — graduates of any discipline can join; a BCom from a Jalandhar college or a BA from Phagwara is as welcome as a BTech from NIT.
Ballpark only — they're compiled from Uncodemy records and public review sites, and your result and EMI plan may differ.
Punjab has no Uncodemy room, so Jalandhar learners join live online. The two physical classrooms are in Noida and at Delhi's Shakarpur Extension, a few minutes from Nirman Vihar Metro.
Genpact, Clarivate, HSBC, upGrad and Fiserv are among more than 850 recruiting partners. Former learners have joined HSBC and Fiserv as Business Analysts, Genpact as a Process Developer Analyst and Clarivate as an IP Analyst.
In analyst hiring, a portfolio says more than a certificate. Below are five learner capstones with their mentors and source code; the Jalandhar note on each card suggests how to rebuild it around sports goods manufacturing.
A supermarket chain's messy billing export is scrubbed in SQL Server and seamed into a Power BI board lining up branches, months and product groups.
Jalandhar version: Run the same SQL Server + Power BI pipeline on sports goods manufacturing sales from Jalandhar and compare months, products and outlets.
Using PgAdmin4, learners design the PostgreSQL tables of a web-based music shop and query them to rank genres and identify repeat customers.
Jalandhar version: Model a NRI banking and remittances catalogue the same way and rank items, customers and areas of Jalandhar & the Doaba by revenue.
Covid-19 statistics for India are repaired in Pandas, scaled to per-capita rates via NumPy and charted state by state with Matplotlib.
Jalandhar version: Clean and chart public health or footfall data for Jalandhar & the Doaba with the same Pandas and Matplotlib workflow.
Python, SQL and Power BI combine into a monthly order, production and export report for a fictional Jalandhar sports-goods manufacturer.
Jalandhar version: Build a scorecard of hand tools and leather employers around Jalandhar — size, hiring trend and pay bands — with SQL and DAX.
Ball-by-ball IPL data across several seasons is broken down by ground and by powerplay, middle and death overs, then shown in 44-plus visuals.
Jalandhar version: Swap IPL data for sports goods manufacturing seasonality in Jalandhar and show peaks, slumps and outliers in one dashboard.