4.8 LPAHyderabadAnkit Singh
Data Analyst
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- Data Analytics Batch
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- DA/09/0823/S WD 7PM
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Read More →Hapur sits inside the National Capital Region, a short drive from Ghaziabad and Noida, yet it keeps its own identity as a grain-mandi town famous for papad, steel pipes and a thriving trade in food grains. That mix of local commerce and NCR proximity makes it an ideal base for an analytics career. Uncodemy's Data Analytics Course lets Hapur learners train for 6–7 months through live online classes in Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI — and, if they wish, drop into the Noida classroom too.
Hapur has no Uncodemy centre of its own; teaching in person happens at Noida and at Delhi's Shakarpur Extension, where the centre adjoins DSEU Ambedkar College close to Nirman Vihar and Laxmi Nagar Metro Stations. Most Hapur learners study online, while some who already commute toward Ghaziabad or Noida attend classroom batches. Either way the package is identical: 120+ learning hours, 75+ trainer sessions, real projects and personal placement support for ₹17,500 + 18% GST, i.e. ₹20,650.
Hapur learners take six to seven months of live online (or occasional classroom) sessions on Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI, using grain-trade, food-processing and NCR corporate examples, with mentor check-ins and a final interview bootcamp.
Course finishers can take a mandi arrival register, papad unit's dispatch log or an NCR company's sales extract and produce a clean, analysed and persuasive conclusion. Following career preparation, eligible finishers apply for analyst roles, many of them in NCR; recorded outcomes 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. Hapur learners join these same live online batches and the same career-preparation process; outcomes depend on individual effort and the job market.
Hapur's grain traders handle thousands of tonnes of wheat, rice and pulses each season; its papad makers sell to retailers across the north; its pipe manufacturers supply construction projects. Each business wonders the same things — which buyers are profitable, which suppliers are reliable, where money is stuck. Data analytics answers them by cleaning records, testing patterns statistically and showing the results visually. NCR's corporates, hospitals and banks use the very same discipline at a larger scale.
An analyst writes SQL to pull data from billing software, ERP or a CRM, cleans up inconsistencies, compares periods, products or customers in Excel or Python, publishes a Power BI or Tableau dashboard and explains the takeaways to a trader, factory owner, finance team or an NCR manager.
A grain wholesaler shows the difference. Analytics explains why margins thinned last rabi season; data science forecasts next season's arrivals and prices; business analytics advises on stocking and credit policy.
| 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 |
Salary figures are approximate starting ranges drawn from the cited sources; NCR offers in particular vary with company, role, skills, experience and market cycle.
Over 6–7 months, Hapur learners attend more than 75 live sessions and complete 120-plus hours of learning. Excel and SQL form the base, followed by Python, statistics, data cleaning and EDA, and finally Power BI, Tableau and Generative AI. Real data appears throughout, every phase ends with a guided project and the capstone leads the portfolio you take to NCR interviews.
Eligibility: A bachelor's degree in any subject is required (full details on the eligibility criteria page). No programming background is needed; SQL and Python begin from scratch. Number sense helps, and the statistics module rebuilds essentials. Keep a laptop with 8GB RAM and a stable internet connection.
Weekday and weekend batches are available online, and Hapur learners near the Ghaziabad–Noida corridor may also choose classroom timings at the Noida centre. A free demo class is offered before you decide.
Seats are limited and updated daily. All timings are in IST.
The 120+ hour syllabus follows nine modules arranged like real analytics work — collect, clean, analyse, interpret, visualise and present. Each module ends with a graded practical on genuine data, and the last module assembles 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.
Completing all nine modules, every assignment and the capstone earns Hapur learners the Uncodemy Data Analytics Program Certificate, which records the program, duration, tools covered and completion date along with a verification reference. It is issued only when coursework and assessments are complete.
Recruiters in Noida and Ghaziabad want to see what you can build, so the certificate travels with a folder of marked spreadsheet, SQL, Python, statistics, BI and Gen AI work and a capstone you planned and delivered on your own.
Employers across NCR can verify a Hapur learner's certificate online at any time via Uncodemy's official certificate portal.
Uncodemy Certificate Verification — Online Certificate Verification & Download: certificate.uncodemy.com
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Uncodemy is run by Uncodemy Edutech Pvt. Ltd. and designs its courses for employability. Its classrooms in Noida and Delhi are within NCR reach of Hapur, and its live online batches deliver identical teaching everywhere else. Learners include beginners, graduates, freshers and working professionals seeking practical skill.
Throughout the program, Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI are applied to real datasets via projects. The tasks match what NCR analytics teams do — monitor KPIs, refresh dashboards, write reports and support decisions — so your first role feels familiar. The module-wise syllabus is published before you enrol.
Every class is supported by live mentoring, practice tasks, projects, mock interviews and career guidance. The career support policy is shared in writing before admission and explains what is included, what is excluded and who is eligible.
Hapur learners can also choose Uncodemy's AI, Machine Learning, Data Science or Business Analysis programs, online or at the Noida centre.
Start from Hapur — learn live online or in Noida, practise on mandi and corporate data, build a portfolio and step into NCR's analytics job market.
Hapur's greatest asset is location. Ghaziabad is minutes away and Noida, Greater Noida and Delhi are reachable by expressway, so the region's thousands of analytics roles in IT services, e-commerce, BFSI, consulting and logistics are realistically within commuting distance — or available remotely.
Locally, the town's large grain and pulses mandi, papad and food-processing units, steel-pipe and tube manufacturers, textile units around Pilkhuwa and cold-storage businesses generate steady demand for MIS and reporting skills. Banks, hospitals and schools are digitising, and Garhmukteshwar's pilgrim traffic supports hospitality and transport businesses.
Wherever you apply, SQL and a BI tool are expected. What sets candidates apart in NCR interviews is the ability to frame a vague request as a precise business question, choose the metric that matters and explain the recommendation without jargon.
Graduates go after Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst roles — mostly in NCR. A grain trader wants margin by commodity, a Noida e-commerce firm wants funnel metrics and a bank wants collection trends; all are 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 |
Hapur freshers typically start as Data, MIS or Business Analysts, often in Ghaziabad or Noida companies, and move into BI, product, marketing or operations analytics within two to four years by owning full analyses and learning their domain.
Pay depends on experience, sector and real SQL and BI depth, and the range within one title is wide — especially in NCR. Dashboard-only profiles start low; those who also write efficient queries, structure problems and argue clear recommendations start higher and rise 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.
NCR employers in Noida, Ghaziabad, Gurugram and Delhi generally pay more than Hapur-based firms, which is why most learners aim there or at remote roles. All ranges are indicative and depend on role, skills, experience, location, employer and market. Uncodemy does not guarantee any salary or job.
Uncodemy's network of 850+ hiring companies includes many NCR employers. For Hapur learners, analyst openings concentrate in:
NCR IT services, e-commerce and GCCs — reporting, BI and product analytics in Noida and Ghaziabad
Grain trade and food processing — arrivals, pricing, stock and dispatch analysis
Steel pipes, textiles and manufacturing — production and order reporting
BFSI — collections, credit and customer analytics across NCR
Healthcare, education and remote roles — dashboards locally and work-from-home analytics jobs
NCR corporates and Hapur's own traders test different strengths, so decide early which you want and tailor your portfolio.
Analytics ability accumulates layer by layer, and NCR interviewers are quick to find a missing layer. Skip a step and it usually shows in the technical round or during your first month in a Noida or Ghaziabad office.
Spreadsheet speed — XLOOKUP, pivots and Power Query until a commodity-wise arrival summary or a buyer-wise outstanding list takes minutes, not an afternoon.
SQL as a reflex — joins across orders, payments and stock, grouped totals, nested queries and window functions; Noida and Gurugram technical rounds open with exactly these.
Python where volume demands it — Pandas and NumPy for season-long mandi data or lakh-row CRM exports, plus small scripts that regenerate the Monday report.
Statistics with purpose — sampling, significance tests and regression output, so an NCR team lead trusts the claim you're making.
A dashboard you'd hand to a manager — Power BI with DAX or Tableau with calculated fields, finished until it explains itself.
A portfolio straddling both worlds — three to five projects, perhaps wheat-price seasonality at the Hapur mandi alongside an e-commerce funnel study, each ending in a recommendation.
An NCR-ready job hunt — timed SQL drills, mock case interviews and a CV plus LinkedIn that show what each project changed.
Most Hapur learners reach NCR interview standard after six to seven months of steady work; an hour each evening, kept up consistently, beats occasional weekend marathons.
Being in NCR means Hapur learners can choose from dozens of analytics courses — classroom and online, cheap and expensive. Here is a plain account of what Uncodemy's program 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 |
Six to seven months and ten-plus tools reflect a simple fact: an NCR junior is routinely asked to tidy a file in Excel, query it in SQL, script a step in Python and finish on a dashboard. Low-cost recorded courses exist; a mandi trader after nothing more than better Excel and Power BI reports could happily choose one.
Syllabus, trainers, projects and fee are identical across formats, so choose by convenience. Many Hapur learners prefer live online study — real-time classes from home, doubts answered immediately and no commute on class days.
Because Hapur is part of NCR, classroom or hybrid study at Uncodemy's Noida centre is a realistic option for anyone already travelling toward Ghaziabad or Noida. Every format includes live instruction, recordings, doubt clinics and the full placement service, and an approved switch carries your progress 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 Hapur batches. Hapur 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 grain mandi trade and NCR logistics — the kind of data employers in Hapur & NCR actually hold.
All trainers and reviewers are published on the Uncodemy trainers page with their domain and experience.

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.

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.

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.
Expect six to seven months: more than 75 live sessions and over 120 learning hours. Hapur learners pick weekday or weekend timing and can attend online or, if commuting toward Ghaziabad anyway, at the Noida classroom.
Not at all a barrier. Plenty of Hapur learners arrive from commerce or arts degrees without having written code. SQL begins with a single SELECT line, Python with simple variables, and the opening two months stay close to Excel and SQL.
More than ten. You'll wrangle data with SQL, Python, Pandas and NumPy, reason with Statistics, present results through Excel, Power BI and Tableau, and speed up routine work with ChatGPT and Copilot.
It does — eight hours in Module 8. You'll practise briefing an AI assistant on a dataset, judging whether the SQL or Python it hands back is correct, using Copilot inside Excel and Power BI, and spotting confident-sounding figures that are simply wrong.
Six in total: guided builds on retail, banking, HR, e-commerce and healthcare data, plus a capstone you choose. A grain-mandi pricing study or an NCR e-commerce dataset would make a strong impression on recruiters.
Every session is live with a trainer, all 75-plus of them, and recordings follow for revision. Online learners in Hapur and classroom learners in Noida follow exactly the same syllabus.
The full amount is ₹20,650 — ₹17,500 plus 18% GST — and it already covers sessions, notes, project reviews, certification and placement support. Monthly EMIs start at ₹4,032.
Monthly plans begin at ₹4,032. The number of instalments, the precise figure and sanction are arranged with a lender of your choosing, and a counsellor handles the coordination.
Yes — attend a free demo either online from home or at the Noida centre, meet a trainer, ask questions and look through the syllabus before committing.
Yes. Our team reworks your CV and LinkedIn, critiques your portfolio, runs mock interviews and passes on vacancies from 850-plus recruiters, a large share of them in NCR. Employers make the final choice, so a job can't be guaranteed.
Yes. Noida and Ghaziabad companies, NCR banks, Hapur traders and remote analytics teams regularly hire freshers who can show SQL, a dashboard tool and finished projects. Opening salaries typically sit around ₹3–6 LPA, with NCR roles often toward the upper end.
As rough brackets: ₹3–6 LPA to start, ₹6–10 LPA after a few years and ₹10–15 LPA at senior level. Jobs in Noida or Gurugram generally pay more than Hapur-based ones; Uncodemy doesn't commit to any figure.
Hapur alumni usually begin with a Data, MIS or Business Analyst designation in an NCR office; a few years later many have moved into dashboard engineering, reporting management, product or growth analytics, or operations roles.
A completed degree in any subject is the only requirement. No coding or analytics experience is assumed; Hapur batches mix college finalists, trading-family members, office staff and career switchers.
They're indicators, not promises. They come from Uncodemy's placement records and public review platforms, both of which change. Your own result depends on skill, experience, location, the employer and timing, and lenders decide on EMI eligibility.
Hapur itself has no centre, but you're within NCR reach of two: Noida, and Delhi's Shakarpur Extension near Nirman Vihar Metro. Most Hapur learners study live online and visit a classroom when convenient.
The network spans more than 850 companies, among them Genpact, HSBC, Clarivate, Fiserv and upGrad. Alumni on record include Business Analysts at HSBC and Fiserv, a Process Developer Analyst at Genpact and an Intellectual Property Analyst at Clarivate.
In analyst hiring, a portfolio says more than a certificate. Below are five learner capstones with their mentors and source code; the Hapur note on each card suggests how to rebuild it around steel tube and pipe units.
A retail chain's raw sales tables are standardised with SQL Server and turned into a Power BI page where managers slice revenue by store, week and category — each chart mapped to a stakeholder requirement.
Hapur version: Run the same SQL Server + Power BI pipeline on steel tube and pipe units sales from Hapur and compare months, products and outlets.
Learners sketch an entity diagram for an online music shop, build it in PostgreSQL through PgAdmin4 and query it to find the best-selling genres, repeat buyers and untapped markets.
Hapur version: Model a NCR logistics catalogue the same way and rank items, customers and areas of Hapur & NCR by revenue.
India's COVID-19 data is reconciled in Pandas, turned into growth and fatality rates with NumPy and plotted state by state with Matplotlib inside Jupyter.
Hapur version: Clean and chart public health or footfall data for Hapur & NCR with the same Pandas and Matplotlib workflow.
Three layers — Python for transformation, SQL for storage and Power BI for display — combine into a monthly people, sales and output report for a fictional papad and snacks manufacturer.
Hapur version: Build a scorecard of grain mandi trade employers around Hapur — size, hiring trend and pay bands — with SQL and DAX.
Ball-by-ball IPL records from many seasons are summarised into strike rates, economies and venue trends and displayed in a 44-plus chart gallery.
Hapur version: Swap IPL data for steel tube and pipe units seasonality in Hapur and show peaks, slumps and outliers in one dashboard.