4.8 LPAHyderabadAnkit Singh
Data Analyst
- Placed at
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- Data Analytics Batch
- Batch
- DA/09/0823/S WD 7PM
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Read More →Muzaffarnagar's gur mandi is reckoned among the biggest jaggery markets anywhere, its sugar mills crush cane from across western UP, and its paper and steel units feed industries all over the north. Behind every sack and tonne sits a record of weights, rates, payments and dispatches. Uncodemy's Data Analytics Course teaches Muzaffarnagar learners to turn those records into decisions. It is a 6–7 month live online program covering Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI.
Uncodemy keeps classrooms only in Delhi and Noida. Its Delhi site is in Shakarpur Extension, neighbouring DSEU Ambedkar College and within walking range of the Nirman Vihar and Laxmi Nagar Metro Stations. Muzaffarnagar learners sit in those very batches through a live link, getting 120+ teaching hours, 75+ live sessions, practical projects and a personal placement coordinator. ₹17,500 is the course fee; with 18% GST the bill is ₹20,650.
Muzaffarnagar learners take six to seven months of live online classes in Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI, using sugar-mill, jaggery-trade and paper-industry cases, regular mentor check-ins and a closing burst of interview practice.
Graduates are able to accept a mandi rate register, mill cane-receipt file or factory dispatch log and return a clean, analysed and well-explained conclusion using the course tools. After career prep, eligible graduates apply for analyst positions; a sample of outcomes from our records follows.
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. Muzaffarnagar learners join these same live online batches and the same career-preparation process; outcomes depend on individual effort and the job market.
Consider a gur trader who buys from hundreds of kolhus and sells to dozens of states, or a paper mill tracking waste-paper intake, pulp yield and power use. Data analytics shows them which suppliers deliver quality, which buyers delay payment and which process step wastes the most. It works by cleaning records, testing patterns with statistics and presenting findings visually — and any organisation can apply it to understand customers, watch performance, reduce losses and plan seasons.
Practically, an analyst runs SQL queries against billing, weighbridge or ERP data, irons out errors and duplicate slips, compares seasons, suppliers or products in Excel or Python, prepares a Power BI or Tableau dashboard and walks the mill manager, trader, accountant or sales head through the implications.
Take a sugar mill. Analytics shows why recovery fell during last season's late crushing; data science predicts next year's cane supply from each zone; business analytics advises on procurement schedules and farmer payment planning.
| 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 |
The salary row reflects approximate first-job figures from the cited sources; individual offers depend on company, role, skills, experience, city and demand.
The course lasts 6–7 months, with more than 75 live lectures and over 120 learning hours. Spreadsheets and SQL come first, then Python, statistics, data cleaning and exploratory analysis, and finally Power BI, Tableau and Generative AI. Mill and market style datasets appear throughout, each phase ends with a guided build and the capstone headlines your portfolio.
Eligibility: A bachelor's degree in any stream lets you join (specific conditions are on the eligibility criteria page). Coding is taught from scratch, so no prior experience is required. Number sense helps, and the statistics module reconstructs every concept it relies on. Please keep a laptop with 8GB RAM and a stable internet connection for practical sessions.
Weekday and weekend live batches are open to Muzaffarnagar learners, planned around college, mill shifts and the crushing season. A free online demo session can be booked beforehand.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 19 Oct | 02:00 PM – 03:00 PM | Mr. Upendra | 02 Seats |
| 02 Nov | 10:30 AM – 11:30 AM | Ms. Rachna | 01 Seat |
| 09 Nov | 12:00 PM – 01:00 PM | Mr. Abhi | 02 Seats |
| 16 Nov | 07:30 PM – 08:30 PM | Mr. Rahul | 01 Seat |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 28 Nov | 03:00 PM – 05:00 PM | Mr. Irshad | 02 Seats |
Seats are limited and updated daily. All timings are in IST.
The 120+ hour syllabus is grouped into nine modules reflecting a real analytics job from start to finish: get the data, clean it, analyse it, interpret it, visualise it, present it. Every module ends with a scored practical on real data, and module nine gathers your best work into a 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.
With all nine modules, the assignments and the capstone signed off, a Muzaffarnagar learner is handed the Uncodemy Data Analytics Program Certificate — showing the course name, months of study, tools learned, finishing date and a code employers can verify.
Mill owners and corporate recruiters both want evidence, so the certificate is paired with a portfolio: graded spreadsheet, SQL, Python, statistics, Power BI, Tableau and Gen AI tasks and a capstone carrying a business problem from raw data to a recommendation.
Any employer can confirm a Muzaffarnagar learner's certificate online through Uncodemy's official certificate portal.
Uncodemy Certificate Verification — Online Certificate Verification & Download: certificate.uncodemy.com
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Uncodemy belongs to Uncodemy Edutech Pvt. Ltd. and builds its technology courses around employability. Classroom groups meet in Delhi and Noida; live online groups carry the same teaching to Muzaffarnagar and towns across India. Learners include newcomers, graduates, freshers and working people who want usable skills.
During the program, spreadsheets, SQL, Python, statistics, Power BI, Tableau and Gen AI are put to work on genuine data. Tasks resemble what a mill or mandi analyst handles — weighing-slip reconciliation, rate dashboards, season reports, procurement advice — and equally what a corporate analytics desk does. The full module plan is published ahead of admission.
Teaching rests on a support system of mentor time, marked practice, project feedback, mock interviews and job leads. Before you pay, a written policy explains exactly what career help includes, where it stops and the qualifying conditions.
Learners from the sugar belt who'd rather study AI, ML, Data Science or Business Analysis will find those offered live online by Uncodemy as well.
Start from Muzaffarnagar — join live online sessions, practise on mill, mandi and business data, build a portfolio and prepare for analyst roles in western UP, NCR or remote teams.
Muzaffarnagar sits at the heart of western UP's sugar belt. Large sugar mills and distilleries in and around the district manage cane-zone allocation, weighbridge receipts, recovery percentages and farmer payments; the famous gur mandi handles enormous daily arrivals, rates and outward consignments; and paper mills, steel re-rollers and engineering units in the industrial areas generate production, energy and dispatch data.
Cooperative banks, commercial banks and NBFCs serving farmers, hospitals, schools and a busy retail market add more openings. Because the city lies on the Delhi–Dehradun corridor and the expanding NCR network, many learners also target Meerut, Noida, Delhi and remote roles. In every case, SQL and a BI tool are basic expectations; what lands the job is defining the business question, choosing a meaningful metric and explaining the recommendation plainly.
Graduates pursue Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst roles. A sugar mill wants recovery and payment analysis, a paper unit wants yield and energy trends and an NCR firm wants client KPIs — each delivered through SQL, Excel and a BI tool.
| 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 |
Freshers from the district typically land a Data, MIS or Business Analyst post first — sometimes inside a mill, sometimes in an NCR office — and then specialise over two to four years in BI, product, marketing or operations analytics, earning promotion through ownership of complete work.
An analyst's pay rises with experience, sector and real SQL and BI capability, and two people sharing a title can be paid quite differently. Dashboard-only candidates usually start low in the band; those who also write efficient queries, structure messy problems and present persuasive recommendations start higher and grow faster.
| 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.
Mills and traders in the district often open below NCR rates, whereas Noida, Delhi and work-from-home employers tend to reach the upper part of each bracket. All ranges are illustrative, moving with role, ability, experience, location, employer and market; no pay or placement is assured.
Uncodemy places learners via a recruiter pool of 850-plus Indian firms — large groups, mid-size businesses and start-ups. In the Muzaffarnagar–Shamli belt, analyst openings concentrate in:
Sugar mills and distilleries — cane-zone, weighbridge, recovery and payment analytics
Jaggery and agri-trade — mandi arrivals, rate trends and consignment tracking
Paper, steel and engineering units — yield, energy and dispatch reporting
Cooperative and commercial banking — farmer credit, collections and customer analysis
Meerut, NCR and remote roles — analytics jobs within commuting or remote reach
A sugar mill, a paper unit and an NCR corporate test quite different things at interview, so pick your lane early and let the portfolio speak its language.
Analyst ability builds the way cane becomes gur — boiling, skimming and setting in sequence. Rush or skip a stage and the result shows, usually in a technical interview or during the first months at work.
Spreadsheet skill — XLOOKUP, pivots and Power Query, so supplier-wise or day-wise mandi summaries take minutes.
SQL confidence — joins between weighbridge, rate and payment tables, grouped totals, subqueries and window functions.
Python for size — Pandas and NumPy once a season's slips run into lakhs of rows, plus scripts that rebuild daily reports.
Statistical sense — sampling, significance tests and regression, so recovery or rate conclusions stand up.
A finished BI tool — Power BI with DAX or Tableau with calculated fields, built to a dashboard a mill manager can use alone.
Local portfolio — three to five projects, say gur-price seasonality or cane-recovery by zone, each ending with a recommendation.
Job hunt with intent — rehearse SQL against a timer, talk through mock cases aloud, and let your CV and LinkedIn quantify what each project changed.
Most Muzaffarnagar learners reach interview level after six to seven months of steady practice; a daily hour, kept up even in the crushing season, beats occasional marathons.
Analytics courses on offer to Muzaffarnagar learners range from inexpensive weekend classes to bootcamps costing lakhs. Here is a clear list of what Uncodemy's program contains.
| 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 longer duration and broad toolset reflect what employers now expect: a junior who can clean data in Excel, query it in SQL, automate with Python and present on a dashboard. Recorded self-paced courses cost less; a trader wanting only neater Excel and Power BI reports might reasonably choose one.
Syllabus, trainers, projects and fee are identical across formats. From Muzaffarnagar, live online study is the convenient route — real-time classes from home, instant doubt-clearing and timings that work around college, mill shifts or the family business.
Classrooms stand in Noida and Delhi's Shakarpur area, about 120–130 km away, so learners who already travel to NCR can mix in classroom days. Online learners receive the same live teaching, recordings, doubt clinics and placement support, and a permitted format change keeps every bit of progress.
| 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 Muzaffarnagar batches. Muzaffarnagar 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 paper mills and steel re-rolling — the kind of data employers in Muzaffarnagar & Western UP actually hold.
All trainers and reviewers are published on the Uncodemy trainers page with their domain and experience.

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.

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.

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.
Six to seven months, consisting of more than 75 live online sessions and over 120 learning hours. Muzaffarnagar learners can opt for weekday or weekend timing — useful during the crushing season.
Yes. Plenty of Muzaffarnagar learners arrive from agriculture, commerce or arts degrees having never coded. SQL opens with a simple SELECT, Python with basic variables, and the first two months revolve around Excel and SQL.
A dozen-odd: core Python with Pandas and NumPy plus SQL for crunching; Statistics for sound inference; Power BI, Tableau and Excel for showing results; Copilot and ChatGPT as everyday helpers.
Yes. Module 8 offers eight hours on AI for analysts — framing a data question for an AI model, checking the SQL or Python it returns, using Copilot inside Excel and Power BI, and catching wrong AI figures.
Six: five guided projects across retail, banking, HR, e-commerce and healthcare, and a capstone of your choice. A sugar-mill or gur-mandi dataset would make Muzaffarnagar recruiters take notice.
All of them are live. Trainers lead every one of the 75+ sessions in real time, with recordings posted afterwards; online, classroom and hybrid learners share one syllabus.
Learners from the district pay ₹20,650 all-in — the ₹17,500 course fee with 18% GST on top. Notes, project reviews, certification and placement help carry no extra charge, and instalments open at ₹4,032 per month.
Yes, from ₹4,032 a month. The counsellor arranges tenure, exact instalment and approval with whichever financing partner you choose.
Of course. Reserve a no-cost trial session, see a trainer at work, put your doubts to them and skim the module list before deciding. A call or WhatsApp is enough to book.
Yes. You get resume and LinkedIn polishing, a portfolio review, mock interviews and openings from more than 850 companies. Because employers make the final decision, no job is promised.
Quite possible. Mills, mandi firms, cooperative banks and remote analytics teams recruit newcomers who can show SQL, a dashboard tool and real projects — the core of this course. Opening offers usually sit between ₹3 and ₹6 LPA.
As orientation: ₹3–6 LPA at the start, ₹6–10 LPA after a few years, ₹10–15 LPA at senior level. District employers frequently pay below Meerut, Noida or remote teams for the same title; Uncodemy promises no figure.
The first rung is generally Data Analyst, MIS Analyst or Business Analyst; further up, alumni move toward BI engineering, reporting management, product or marketing analytics and operations analysis.
Any graduate, whatever the subject, can enrol — no coding or analytics experience needed. Batches mix students, mill and office staff and career changers.
Read them as indicators. They draw on internal placement data and public review platforms, both revised periodically, and every learner's result turns on skill, background, city, employer and timing. EMI approval belongs to the finance partner.
The district has no Uncodemy classroom; face-to-face teaching happens only in Delhi and Noida. Learners from Muzaffarnagar follow those same batches by live video — or visit Shakarpur Extension, near Nirman Vihar Metro, when in Delhi.
Upward of 850 recruiters, among them Clarivate, Fiserv, upGrad, Genpact and HSBC. Alumni records list Fiserv and HSBC Business Analysts, a Genpact Process Developer Analyst and a Clarivate Intellectual Property Analyst.
In analyst hiring, a portfolio says more than a certificate. Below are five learner capstones with their mentors and source code; the Muzaffarnagar note on each card suggests how to rebuild it around sugar and jaggery.
Sales registers are tidied and joined in SQL Server, after which Power BI shows region-wise, product-wise and month-wise results on one interactive page designed around stakeholder needs.
Muzaffarnagar version: Run the same SQL Server + Power BI pipeline on sugar and jaggery sales from Muzaffarnagar and compare months, products and outlets.
Learners model an online music retailer's tables in PostgreSQL using PgAdmin4, then query them to see which genres earn most, who buys repeatedly and where expansion might pay.
Muzaffarnagar version: Model a steel re-rolling catalogue the same way and rank items, customers and areas of Muzaffarnagar & Western UP by revenue.
Python | Pandas | Jupyter Notebook | GitHub | Mr. Upendra Kumar Tiwari – Senior Data Science Trainer | Shruti Saxena – Data Analyst
Muzaffarnagar version: Clean and chart public health or footfall data for Muzaffarnagar & Western UP with the same Pandas and Matplotlib workflow.
Python, SQL and Power BI are combined into a reporting pack covering staff, revenue and productivity for a fictional business.
Muzaffarnagar version: Build a scorecard of paper mills employers around Muzaffarnagar — size, hiring trend and pay bands — with SQL and DAX.
A long run of IPL ball-by-ball data is crunched for strike rates, economies and ground effects and turned into a 44-plus chart gallery.
Muzaffarnagar version: Swap IPL data for sugar and jaggery seasonality in Muzaffarnagar and show peaks, slumps and outliers in one dashboard.