4.8 LPAHyderabadAnkit Singh
Data Analyst
- Placed at
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- Data Analytics Batch
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- DA/09/0823/S WD 7PM
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Read More →In a Kashmiri carpet workshop, the weaver doesn't work from a picture. A master writes the design as talim — a coded script of symbols telling the weaver, knot by knot, which colour goes where. The weaver reads the code aloud, ties the knot, moves on, and after months a Persian-style garden blooms in silk. Data analytics is that same translation from code to picture. The Valley has plenty to translate: houseboats, hotels and tour operators around Dal Lake, Gulmarg and Pahalgam; apple orchards and Pampore saffron; pashmina, carpet, papier-mâché and walnut-wood exporters; J&K Bank headquartered on the Boulevard; SKIMS and government hospitals; NIT Srinagar and the University of Kashmir; and a young IT and start-up scene. Uncodemy's Data Analytics Course teaches Srinagar learners to read and write that code over 6–7 months of live online classes in Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI.
There's no Uncodemy classroom in the Valley. Teaching in person happens only in Noida and at Shakarpur Extension, Delhi, where the building faces DSEU Ambedkar College, a few minutes on foot from Nirman Vihar and Laxmi Nagar Metro stations. Srinagar learners sit in those batches through live video and receive 120-plus learning hours, upward of 75 trainer sessions, applied projects and a placement mentor. Fees: ₹17,500, or ₹20,650 with GST at 18%.
Srinagar learners spend six to seven months mastering the talim of Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI in live online classes, practising on tourism, horticulture, handicraft-export, banking and healthcare data; a mentor reads your code back to you each week, and mock interviews are the moment the finished carpet is unrolled.
When the last knot is tied, a Srinagar learner can take an undeciphered dataset — a houseboat's booking log, an apple trader's consignment book or a pashmina exporter's order file — and render a clean, analysed and convincing picture from it, picking the right tool for each row. Placement preparation follows, after which eligible learners apply for analyst roles; selected alumni from our records are shown.
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. Srinagar learners join these same live online batches and the same career-preparation process; outcomes depend on individual effort and the job market.
A Dal Lake houseboat owner sees bookings evaporate during certain months and wants to know which markets still travel then; an apple grower in Sopore sends trucks to Delhi's Azadpur mandi without knowing which week fetches the best price; a carpet exporter wonders why repeat buyers from one country stopped ordering. The pattern is already encoded in their records. Data analytics deciphers it — cleaning the raw symbols, testing which patterns are meaningful with statistics and weaving the answer into a chart a decision-maker reads at once.
Picture an ordinary week for a Valley analyst: SQL against a houseboat booking engine, a J&K Bank-style core system or a hospital HMS; clearing out duplicated guests and empty cells; setting October against April, Sopore against Shopian or one ward against another in Excel or Python; publishing a Power BI or Tableau page; then sitting with the owner to agree on what changes next week.
Picture a Srinagar tour operator. Data analytics tells you which source markets dropped last winter; data science forecasts arrivals for the tulip and summer seasons; business analytics recommends which packages, prices and partners to push.
AspectFresher figures here are rounded from the cited sources. In the Valley, the actual number depends on who's hiring, which role, your skill set, prior experience and the season you apply in.
Plan for 6–7 months, 75-plus live online sessions and 120-plus hours. First come Excel and SQL, the alphabet of the talim; next Python, statistics, cleaning and exploratory analysis, where the motif takes shape; last Power BI, Tableau and Generative AI, the finishing and clipping. Houseboat, orchard, pashmina, bank and hospital examples appear every week, each section closes on a guided build and the capstone is a design you encode yourself.
Eligibility: A bachelor's degree in any subject is the requirement (see the eligibility criteria page). Coding is not expected; SQL and Python start from first principles. Ordinary arithmetic is enough, and the statistics module fills in the rest. Practical sessions need a laptop with 8GB RAM and the most stable internet connection you can arrange — recordings cover any session lost to connectivity.
Srinagar learners can opt for weekday or weekend live batches, scheduled around the tourist season, the harvest, bank hours and university classes. A free online demo class is available beforehand.
Seats are limited and updated daily. All timings are in IST.
Nine modules and 120-plus hours follow the carpet workshop: dye the wool (collect data), wash and sort it (clean), read the talim (analyse), tie the knots in sequence (interpret), clip and finish the pile (visualise) and unroll the carpet for the buyer (present). Every 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.
A Srinagar learner who finishes every module, assignment and the capstone is awarded the Uncodemy Data Analytics Program Certificate — it records the course, its length, the tools learned, the completion date and an authentication code.
A carpet is valued by its knots per square inch, not by its tag. Recruiters similarly look at the density of your work — assessed Excel, SQL, Python, statistics, BI and Gen AI assignments and a capstone woven alone — and treat the certificate as the label stitched underneath.
Hotels, banks, exporters and recruiters across India and abroad can confirm a Srinagar learner's certificate through Uncodemy's portal.
Uncodemy Certificate Verification — Online Certificate Verification & Download: certificate.uncodemy.com
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Uncodemy Edutech Pvt. Ltd. operates Uncodemy, and the yardstick for each course it designs is simple: did the learner get hired? Classrooms exist only in Delhi and Noida; everyone else — Srinagar included — attends the same lessons live online.
You'll put Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI to work on real datasets, much like analysts do for houseboat and hotel owners, horticulture traders, handicraft exporters, banks and hospitals in the Valley. Each module is publicly listed before admission.
Teaching comes with mentor time, scored practice, project critiques, interview drills and job alerts. Uncodemy shares its career support policy on paper before you pay, so its coverage, its boundaries and who qualifies are clear from the start.
Srinagar learners keener on AI, ML, Data Science or Business Analysis can choose any of those as live online Uncodemy courses.
Begin from Srinagar — join live classes, practise on tourism, apple and handicraft data, build a portfolio and prepare for analyst roles in J&K, Delhi NCR or with remote teams worldwide.
Tourism is the Valley's signature industry. Houseboats on Dal and Nigeen lakes, hotels in Srinagar, Gulmarg, Pahalgam and Sonamarg, travel agencies, shikara and pony operators all depend on booking, pricing and seasonal-demand information, and tourist arrivals have risen strongly in recent years.
Kashmir produces most of India's apples, along with walnuts, almonds, cherries and the famous Pampore saffron. Growers, cold-storage operators, fruit mandis at Sopore and Shopian, and traders shipping to Delhi track consignments, prices and storage. Pashmina shawls, hand-knotted carpets, papier-mâché and walnut-wood carving support exporters who manage orders and buyers worldwide.
J&K Bank, headquartered in Srinagar, and other financial institutions employ large numbers of staff with reporting duties. SKIMS, SMHS and other hospitals generate patient and pharmacy data, while the University of Kashmir, NIT Srinagar, IUST and SKUAST-K produce graduates and research. An emerging IT and start-up ecosystem, including the Rangreth IT park, is adding tech roles.
Jammu is around 260 km away and Delhi NCR about 800 km, but remote analytics jobs let Valley learners work for teams anywhere. Employers everywhere expect SQL and a BI tool; what distinguishes a candidate is careful problem framing and a recommendation that's simple to act on.
In the Valley, first jobs usually carry the titles Data Analyst, Business Analyst, MIS Executive/Analyst, BI Analyst, Marketing/Product Analyst or Operations Analyst. A Gulmarg hotel wants seasonal rate views, a Sopore fruit trader wants consignment-and-price sheets, a bank branch wants customer dashboards — and SQL, spreadsheets and a BI tool produce every one.
| 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 |
Starting as a Data, MIS or Business Analyst, a Kashmiri fresher typically moves within two to four years into BI, hospitality revenue, banking or orchard-to-market supply-chain analytics — given to people whose work is accurate and who understand how the Valley economy really runs.
Earnings depend on experience, sector and the SQL and BI ability you can show; one title can cover very different pay. Basic charts earn starting salaries; precise queries, thoughtful framing and persuasive recommendations earn more and faster advancement.
| 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.
Banks, larger hotel groups and hospitals often pay mid-band, small tour operators and traders may start lower, and NCR or remote employers can pay more. All ranges are indicative; Uncodemy guarantees neither jobs nor salaries.
Uncodemy works with more than 850 hiring companies across India. In the Valley, analysts work in:
Tourism and hospitality — houseboat, hotel and travel-agency bookings, pricing and seasonality
Horticulture and saffron — apple consignments, cold storage, mandi prices and supply chains
Handicraft export — pashmina, carpet and craft order, buyer and shipment analytics
Banking, healthcare and education — customer MIS, patient flow and admissions data
Remote and NCR roles — analytics jobs you can do from the Valley
A houseboat group, an apple trader and a bank will each test you on different things; decide on a direction early and let your portfolio follow that design.
Becoming an analyst follows the talim: every knot must be tied in the order the code dictates. Miss a row early — a skipped skill — and the pattern distorts, which usually shows in a technical interview or your first month at work.
Dyeing the wool, Excel — lookups, pivots and Power Query until a month-by-month or orchard-by-orchard table takes five minutes.
Reading the talim, SQL — join bookings to guests to payments, group and total them, nest subqueries and use window functions to rank and compare.
Steady knotting, Python — Pandas and NumPy for large booking or consignment files and automated reports.
Counting knots per inch, statistics — samples, confidence intervals and a regression, so a claimed tourist-season shift is signal and not chance.
Clipping the pile, Power BI or Tableau — DAX measures or calculated fields, cut so cleanly a houseboat owner reads the page without a single question.
The finished carpet, a Srinagar portfolio — three to five projects, such as houseboat occupancy by month or apple prices by mandi week, each ending in a recommendation.
Unrolling it for buyers, interviews — timed SQL practice, spoken business cases and a CV where each project states what it changed.
Most Srinagar learners need around six to seven months of patient work — carpet-maker's patience — before interviews feel comfortable.
Analytics options for Srinagar learners range from local coaching to institutes in Jammu or Delhi and online bootcamps. Here's what Uncodemy's course actually provides.
| 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 |
The length and breadth reflect how employers hire now: a fresher who can clean data in Excel, extract it with SQL, automate in Python and present on a dashboard. Cheaper recorded courses exist; a small travel agency needing only better Excel and Power BI sheets might pick one.
Every format shares one syllabus, one faculty, one project list and one fee. From Srinagar, live online classes are the natural route — learn at home, ask doubts the moment they arise and plan around the tourist season, harvest or office.
Delhi and Noida lie some 800 km south of the Valley, which rules out a hybrid pattern. Remote learners still get live classes, recordings (useful whenever weather or the network interferes), doubt clinics and complete placement help, and an approved format change 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 |
The people who teach Srinagar batches. There is no Uncodemy classroom in Srinagar, so learners from Srinagar & the Kashmir Valley join the live online batches taught by the same trainers who run classroom sessions in Delhi and Noida. The Data Analytics track is led by Irshad Khan, Senior Trainer, who reviewed and signed off this curriculum.
Technical content is checked separately by domain reviewer Upendra Kumar Tiwari, so the person teaching a topic is not the only one verifying it. When a learner from Srinagar wants a capstone built on tourism and houseboats or handicrafts and carpets data, the trainer helps frame the questions, clean the dataset and design the dashboard.
Every trainer is listed by name on the Uncodemy trainers page, so you can check their background before you enrol.

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.

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.

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.
About as long as a full tourist season and a bit more — six to seven months. Inside that window sit 75-plus live online classes and over 120 hours of study, offered to the Valley as weekday or weekend batches.
No coding background is needed. Houseboat managers, bank clerks and Kashmir University humanities graduates begin SQL with a single SELECT and Python with simple variables in class; months one and two are devoted largely to Excel and SQL.
Ten or so tools in all — SQL alongside Python's Pandas and NumPy to shape data; Statistics to test it; Excel, Power BI and Tableau to present it; ChatGPT and Copilot to handle repetitive steps.
Module 8 spends eight hours on Gen AI: describing a data problem to an assistant, auditing the SQL or Python it produces, using Copilot inside Excel and Power BI, and catching replies that are fluent but wrong.
Six — five guided builds on retail, banking, HR, e-commerce and healthcare data, then a capstone of your choosing. Houseboat-occupancy or apple-consignment data would give a Srinagar capstone real distinction.
Every class is live: 75-plus sessions in real time, recorded so a power cut or network drop never costs you a lesson. All formats run the same syllabus.
A Srinagar learner's total is ₹20,650 — ₹17,500 plus 18% GST — and monthly instalments can start from ₹4,032.
EMIs open at ₹4,032 a month; tenure and approval are set by the lending partner, and a counsellor handles the paperwork with you.
Yes — take a free online demo from Srinagar, meet the trainer and read the module list before committing any money.
You'll receive CV and LinkedIn guidance, portfolio critique, mock interviews and openings from upward of 850 partner companies. Selection rests with each employer, so a job cannot be guaranteed.
Hotels, travel firms, banks, horticulture and handicraft businesses, hospitals and remote analytics teams take on freshers with SQL, a dashboard tool and well-built projects; first offers commonly sit in the ₹3–6 LPA band.
As a broad guide: ₹3–6 LPA at entry, ₹6–10 LPA mid-career and ₹10–15 LPA for senior roles. Valley salaries may be lower than NCR for equivalent titles; none of these figures is promised.
The typical first role is Data, MIS or Business Analyst, leading later to BI, tourism revenue, banking or agri-supply-chain analytics.
Yes — any graduate is eligible; a BA, BCom or BSc from the University of Kashmir is just as valid as a BTech from NIT Srinagar.
They're indicative figures drawn from Uncodemy records and public reviews; each learner's outcome and EMI arrangement can differ.
The Valley has no Uncodemy classroom; learners from Srinagar join the live online batches. The physical rooms are in Noida and at Shakarpur Extension, Delhi, right by Nirman Vihar Metro.
The recruiter roster runs past 850 organisations, Genpact, Clarivate, HSBC, upGrad and Fiserv included. Earlier batches have produced Business Analysts at HSBC and at Fiserv, a Genpact Process Developer Analyst and a Clarivate Intellectual Property Analyst.
These five capstones were built by Uncodemy learners and mentored by our trainers. Each card shows the tools used, the mentor, the learner who built it and a Srinagar version you can attempt with local data.
A supermarket chain's jumbled billing file is decoded in SQL Server and then patterned into a Power BI board that sets branches, months and product groups side by side.
Srinagar version: Run the same SQL Server + Power BI pipeline on tourism and houseboats sales from Srinagar and compare months, products and outlets.
Learners design a PostgreSQL schema for a digital music store in PgAdmin4 and query it to uncover leading genres and loyal listeners.
Srinagar version: Model a apple and horticulture trade catalogue the same way and rank items, customers and areas of Srinagar & the Kashmir Valley by revenue.
Indian Covid-19 statistics are mended in Pandas, normalised into per-lakh rates with NumPy and mapped region by region in Matplotlib.
Srinagar version: Clean and chart public health or footfall data for Srinagar & the Kashmir Valley with the same Pandas and Matplotlib workflow.
Python, SQL and Power BI combine into a monthly occupancy, source-market and revenue report for a fictional Dal Lake houseboat group.
Srinagar version: Build a scorecard of handicrafts and carpets employers around Srinagar — size, hiring trend and pay bands — with SQL and DAX.
Python | Jupyter Notebook | Power BI | SQL | Mr. Upendra Kumar Tiwari – Senior Data Science Trainer | Pawan Mehra – Data Analyst
Srinagar version: Swap IPL data for tourism and houseboats seasonality in Srinagar and show peaks, slumps and outliers in one dashboard.