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 →Bareilly has always been a trading town — zari embroidery, cane furniture, surma, grain and sugar have moved through its markets for generations. Today those same businesses keep their accounts in software, and they need someone who can read the numbers properly. Uncodemy's Data Analytics Course trains Bareilly learners to be that person. Across 6–7 months of live online classes, a trainer takes you from Excel and SQL to Python, Statistics, Power BI, Tableau and Generative AI, one practical step at a time.
You won't find an Uncodemy classroom in Rohilkhand: in-person teaching happens only in Delhi and Noida, and the Delhi branch sits in Shakarpur Extension right beside DSEU Ambedkar College, minutes on foot from the Nirman Vihar and Laxmi Nagar Metro Stations. From Bareilly you plug into those same batches over live video and get 120+ hours of learning, 75+ trainer-led classes, hands-on projects and your own placement mentor. The fee is ₹17,500; add 18% GST and you pay ₹20,650.
Bareilly learners spend six to seven months on live online classes covering Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI, practising on trading, sugar-mill and retail examples, with a mentor reviewing progress and an interview sprint to close.
When you finish, you'll be able to open a messy sales register or stock file and hand back a tidy, analysed and well-argued answer using whichever tool suits it best. After the job-readiness phase, eligible learners start applying for analyst posts — here are a few results from our records.
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. Bareilly learners join these same live online batches and the same career-preparation process; outcomes depend on individual effort and the job market.
Think of a Bareilly furniture dealer who wants to know which designs sell before Diwali, or a zari exporter checking which buyers pay late. Data analytics is how you find out. You clean the records, test what they suggest using statistics and draw the answer as a chart that the owner understands at a glance. The same habit helps any organisation know its customers, follow its targets, plug leaks and plan for next season.
Your typical week as an analyst: write SQL to pull sales or billing data, sort out spelling mistakes and duplicate entries, compare months or branches in Excel or Python, put together a Power BI or Tableau view, then sit with the owner, accounts team or sales head and explain what to change. Half the job is the calculation; the other half is making sure people act on it.
A sugar mill shows the three neatly. Analytics explains why crushing slowed last season; data science predicts how much cane will arrive next year; business analytics decides how to schedule shifts and payments to farmers.
| 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 column gives rough first-job brackets taken from the cited sources; what you're actually offered depends on company, role, skill, experience, location and timing.
You'll spend 6–7 months on the course, joining 75+ live online classes that add up to more than 120 hours. Excel and SQL open the program, Python and statistics come next, then data cleaning and EDA, and finally Power BI, Tableau and Generative AI. Real datasets are used in every class, every phase ends with a guided build, and your capstone becomes the highlight of your portfolio.
Eligibility: Any completed bachelor's degree qualifies you (the eligibility criteria page lists the details). You don't need to have coded before — SQL and Python start from their first line. Being at ease with numbers helps, and the statistics module rebuilds the concepts you need. Keep a laptop with 8GB RAM and a steady internet connection for the practical classes.
Pick a weekday or a weekend live batch, whichever fits your college, office or shop hours. If you want a taste first, a free online demo class is open to every Bareilly learner.
| 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.
Nine modules carry you through 120+ hours in the same order a working analyst uses: get the data, clean it, analyse it, make sense of it, chart it and present it. You'll finish each module with a graded practical on genuine data, and the last module helps you package 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.
Complete the nine modules, the assignments and the capstone, and you'll receive the Uncodemy Data Analytics Program Certificate. It shows the program title, how long it ran, the tools you studied and the date you finished, and it carries a reference anyone can verify. It's issued only once your coursework and assessments are cleared.
Recruiters in Rohilkhand and beyond want proof, so you'll carry more than a certificate — a folder of graded spreadsheet, SQL, Python, statistics, BI and Gen AI assignments, topped by a capstone you planned and delivered alone.
Your certificate can be verified by any employer, any time, on 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 it builds every course around one aim — helping you get hired. Classroom batches meet in Delhi and Noida, and live online batches bring the same lessons to Bareilly and cities all over India. You'll learn alongside beginners, fresh graduates, freshers and working people who want skills they can use straight away.
During the course you'll apply Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI to real datasets through projects. It mirrors what analytics teams actually do — watch key numbers, keep dashboards current, write reports and back decisions — so your first job won't feel unfamiliar. You can read every module of the syllabus before signing up.
Each class is backed by live mentoring, practice tasks, projects, mock interviews and career guidance. Before you pay anything, you'll get the career support policy in writing, explaining what help is included, what isn't and who qualifies.
If AI, Machine Learning, Data Science or Business Analysis interests you too, Bareilly learners can take any of those live online with Uncodemy.
Get started from Bareilly — join live online classes, practise on real data, build a portfolio and prepare for analyst roles in Rohilkhand, NCR or remote teams.
Bareilly's job market for data skills is smaller than a metro's but more varied than people assume. Sugar mills and distilleries across the district track cane arrivals, recovery and payments; rubber, plywood, furniture and food-processing units in the Parsakhera and CB Ganj industrial areas maintain production and dispatch data; and the city's huge wholesale trade in grain, cloth and FMCG moves through billing software that someone has to analyse.
Banks and NBFCs serving Rohilkhand, the cantonment and government offices, large hospitals and medical colleges, and coaching institutes add more openings. With the Delhi–Lucknow corridor close by, many Bareilly learners also aim for NCR, Lucknow or remote roles. Employers everywhere take SQL and a BI tool for granted; what wins the offer is being able to state the business question clearly, pick the right number and explain your recommendation simply.
Graduates usually go after Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst roles. A sugar mill will ask about recovery, a lender about defaults, a retailer about store sales — and you'll answer each with SQL, spreadsheets and a dashboard.
| 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 |
Most Bareilly freshers start as a Data, MIS or Business Analyst and, within two to four years, move into BI, product, marketing or operations analytics. You get there by owning full pieces of analysis and learning how your industry talks, not by collecting extra certificates.
What you earn as an analyst depends on experience, industry and how good you really are with SQL and BI, and two people with the same title can be paid very differently. If you only build dashboards, you'll likely start low in the band; if you can also write efficient queries, untangle a vague request and argue for a decision, you'll 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.
Bareilly-based employers usually start below NCR or Lucknow packages, while remote and big-city roles tend to sit higher in each band. Treat every range as a guide — role, skills, experience, location, employer and market all move it. Uncodemy doesn't guarantee any salary or job.
Uncodemy places learners through a network of more than 850 companies across India, from large firms to start-ups. If you're in Bareilly and Rohilkhand, analyst work is easiest to find in:
Sugar, distilleries and agri-processing — cane arrival, recovery, payment and dispatch analysis
Furniture, zari, plywood and rubber units — production, order and export tracking
Wholesale and retail trade — billing, stock movement and credit control
Banking, healthcare and education — loan, patient-flow and admissions dashboards
NCR, Lucknow and remote openings — analytics roles with companies outside the city
Every sector looks for a slightly different mix of strengths, so pick one or two early and shape your portfolio around them.
Becoming an analyst is a staircase, not a jump — each step holds up the next. Skip one and you'll usually feel it in a technical interview or your first month at work, because employers test what you can actually do.
Start with Excel — get quick with XLOOKUP, pivot tables and Power Query so a party-wise or month-wise summary takes minutes.
Learn SQL properly — joins, grouped totals, subqueries and window functions; almost every interview begins here.
Learn Python for the heavy stuff — when a mill's cane-arrival log runs into lakhs of rows, Pandas and NumPy handle it, and a short script rebuilds the weekly summary for you.
Understand statistics — sampling, significance tests and regression output, so your conclusions hold up when someone pushes back.
One dashboard tool, all the way — Power BI with DAX or Tableau with calculated fields, polished until a mill manager can explore it without you.
Build a local portfolio — three to five projects, say cane-arrival trends or furniture sales by season, each ending with a recommendation.
Apply with a plan — timed SQL practice, mock case chats and a CV and LinkedIn that show results, not just tool names.
Give yourself around six to seven months of steady practice; an hour most evenings will take you further than an occasional all-day session.
From ₹999 weekend crash courses to bootcamps costing lakhs, analytics training comes in all shapes, and every advert promises the same. So here, plainly, is what you get with Uncodemy.
| 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 may sound long beside a weekend workshop, but a fresher today might start a task in Excel, need SQL halfway, script part of it in Python and finish on a dashboard. Cheaper recorded courses exist; a shopkeeper who just wants neater Excel and Power BI reports could happily pick one.
Format doesn't alter the syllabus, trainers, projects or fee, so go by convenience. For Rohilkhand learners, streaming the live classes from home makes most sense — no bus to catch, doubts sorted on the spot and timings that bend around college, office or the family shop.
Uncodemy's classrooms are in Noida and in Delhi's Shakarpur area, so hybrid only works if you visit NCR now and then. Learning online costs you nothing extra: you get the same live teaching, recordings, doubt sessions and placement support, and an allowed format switch keeps all your 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 |
The people who teach Bareilly batches. There is no Uncodemy classroom in Bareilly, so learners from Bareilly & Rohilkhand 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 Bareilly wants a capstone built on furniture and bamboo crafts or sugar and agro-processing 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
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.
About six to seven months. You'll attend more than 75 live online classes — over 120 hours in all — in a weekday or weekend batch, whichever suits your routine in Bareilly.
Yes, absolutely. Lots of Bareilly learners join from B.Com, BA or a shop counter without ever writing code. Your first SQL lesson is a single SELECT line, Python starts with simple variables, and the first two months stay mostly in Excel and SQL.
You'll work with ten-plus tools: SQL, Python, Pandas and NumPy to handle data; Statistics to reason about it; Excel, Power BI and Tableau to present it; and ChatGPT plus Copilot to speed things up.
Yes. Module 8 spends eight hours on AI for analysts — how to explain a data problem to ChatGPT, how to check the SQL or Python it gives you, how to use Copilot in Excel and Power BI, and how to catch numbers it gets wrong.
Six. Five are guided — retail, banking, HR, e-commerce and healthcare — and the sixth is a capstone you choose. A sugar-mill or furniture-sales dataset would make your Bareilly portfolio stand out.
There are no pre-recorded lectures in this course. Your trainer teaches each of the 75+ sessions live, and the recording is posted later for revision; classroom, online and hybrid groups study the same syllabus.
Everything comes to ₹20,650 — that's ₹17,500 plus 18% GST — with notes, project reviews, certification and placement help already inside. Paying in parts? Monthly EMIs open at ₹4,032.
It is. Instalments start from ₹4,032 a month, and your counsellor settles the tenure, final EMI and approval with whichever lender you're comfortable with.
Yes. Book a free live demo from Bareilly, watch a trainer teach, ask your own questions and look through the syllabus before you pay anything. Call or WhatsApp us to fix a time.
Yes. Our career team polishes your resume and LinkedIn, reviews your portfolio, runs mock interviews and shares openings from more than 850 companies. Employers make the final hiring call, so we can't promise you a job.
Definitely possible. Sugar mills, wholesale firms, lenders and work-from-home analytics teams hire freshers who can prove SQL, a BI tool and real projects — the three things you'll build here. Opening salaries usually sit near ₹3–6 LPA.
As a rough guide: ₹3–6 LPA when you start, ₹6–10 LPA after a few years and ₹10–15 LPA at senior level. Bareilly jobs may pay less than NCR or remote ones for the same title, and Uncodemy can't guarantee any figure.
In Rohilkhand the usual first title is Data Analyst, MIS Analyst or Business Analyst. A few years on, people branch into BI engineering, reporting leadership, product or marketing analytics, or operations analysis.
If you've finished a bachelor's degree in any subject, you can join. No coding or analytics background is needed, and Bareilly batches usually mix students, working staff and career changers.
Treat them as signposts, not promises. They come from our placement records and public review platforms, which keep changing. Your own outcome depends on your skill, background, city, the employer and timing; lenders decide EMI eligibility.
No. Uncodemy teaches in person only in Delhi and Noida, so you'll join the same batches live online from Bareilly. If you're ever in Delhi, our centre is in Shakarpur Extension, a short walk from Nirman Vihar Metro.
The recruiter pool is 850-plus strong — Genpact, Fiserv, upGrad, Clarivate and HSBC among them. On our books: a Clarivate Intellectual Property Analyst, a Genpact Process Developer Analyst, and Business Analysts placed with HSBC and Fiserv.
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 Bareilly version you can attempt with local data.
You'll clean and join raw sales tables in SQL Server, then build an interactive Power BI dashboard — regional map, monthly trend, product drill-down — where every chart answers a written requirement.
Bareilly version: Run the same SQL Server + Power BI pipeline on furniture and bamboo crafts sales from Bareilly and compare months, products and outlets.
You'll sketch an entity diagram for an online music shop, build the PostgreSQL tables in PgAdmin4 and query them to see which genres earn, which customers return and where sales could grow.
Bareilly version: Model a zari-zardozi and retail trade catalogue the same way and rank items, customers and areas of Bareilly & Rohilkhand by revenue.
You'll take public COVID-19 data, fix its gaps in Pandas, compute rates with NumPy and plot state-wise waves in Matplotlib inside Jupyter.
Bareilly version: Clean and chart public health or footfall data for Bareilly & Rohilkhand with the same Pandas and Matplotlib workflow.
You'll connect Python scripts, SQL tables and Power BI pages into one reporting pack covering staff, sales and performance for a made-up company.
Bareilly version: Build a scorecard of sugar and agro-processing employers around Bareilly — size, hiring trend and pay bands — with SQL and DAX.
You'll turn several seasons of IPL scorecards from raw CSV into statistics and a gallery of 44+ charts on batsmen, bowlers, grounds and teams.
Bareilly version: Swap IPL data for furniture and bamboo crafts seasonality in Bareilly and show peaks, slumps and outliers in one dashboard.