4.8 LPAHyderabadAnkit Singh
Data Analyst
- Placed at
- FINELABS
- Program
- Data Analytics Batch
- Batch
- DA/09/0823/S WD 7PM
Choose the best training program according to your career.
Improve the performance of your business with our innovative Industrial Training Program.
Read More →
Our instructor-led training classes are designed to make you an expert.
Read More →
Real-life case studies are a great way to demonstrate your practical knowledge.
Read More →
Explore blogs, latest technologies and industry updates with practical examples.
Read More →Browse all available training programs and choose the right one for your career.
Read More →Know more about who we are and what we stand for.
Discover our mission to equip individuals with essential IT skills and industry expertise.
Read More →Learn, practice and plan your career — bilkul free.
Book a free video counselling session and pick the right course for you.
Read More →Shahjahanpur is a district of cane fields, sugar mills, carpet looms and the century-old Ordnance Clothing Factory, with a busy wholesale market linking Rohilkhand to Lucknow. More and more of that activity is tracked in software rather than ledgers, which means local employers want staff who can interpret the numbers. Uncodemy's Data Analytics Course builds that capability for Shahjahanpur learners across 6–7 months of live online teaching in Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI.
In-person Uncodemy classes run only in Delhi and Noida; the Delhi centre occupies premises in Shakarpur Extension next to DSEU Ambedkar College, minutes from Nirman Vihar and Laxmi Nagar Metro Stations. Shahjahanpur learners join the same batches remotely and receive upwards of 120 learning hours, 75-plus live classes, hands-on projects and a dedicated placement adviser. Price: ₹17,500 before tax, ₹20,650 after 18% GST.
Shahjahanpur learners cover Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI in six to seven months of live online classes, with sugar-mill, textile and wholesale-trade case work, a mentor reviewing progress and an interview-readiness fortnight at the end.
Graduates can open a cane-receipt file, loom production sheet or wholesale ledger they have never seen and deliver a tidy, analysed and well-reasoned summary using whichever tool fits. After career preparation, eligible graduates apply for analyst jobs; several tracked results 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. Shahjahanpur learners join these same live online batches and the same career-preparation process; outcomes depend on individual effort and the job market.
Consider a Shahjahanpur sugar mill paying thousands of farmers by weight and quality, a carpet unit balancing yarn purchases against export orders, or a wholesale cloth merchant extending credit to retailers across three districts. Each holds years of records that, properly examined, answer pressing questions: which cane zones deliver the best recovery, which carpet designs earn the highest margin, which retailers keep delaying payment. Data analytics is the method — cleaning the records, testing patterns with statistics and presenting the outcome in charts a busy owner can read in seconds. Banks, hospitals, schools and government offices rely on exactly the same discipline.
On the job, an analyst writes SQL to collect weighbridge, sales or attendance data, removes duplicate slips and corrects mismatched codes, compares seasons, zones or products in Excel or Python and builds a Power BI or Tableau summary. Then comes the part that matters most: sitting with the mill manager, factory supervisor, trader or accounts head, explaining what the numbers show and agreeing on what to do differently next month.
Take a sugar mill again. Analytics explains why last season's recovery dropped; data science predicts next year's cane arrivals by zone; business analytics proposes changes to procurement and crushing schedules.
| 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 bands shown are indicative entry ranges from the cited sources; individual offers reflect company, role, capability, experience, city and timing.
Shahjahanpur learners complete 6–7 months of study, made up of more than 75 live online classes and over 120 learning hours. The course begins with Excel and SQL — tools every mill office already uses — continues through Python, statistics, data cleaning and exploratory analysis, and ends with Power BI, Tableau and Generative AI. Real datasets appear in every class, each phase closes with a guided build, and a capstone heads the portfolio you show recruiters.
Eligibility: Any bachelor's degree qualifies you (see the eligibility criteria page for specifics). No coding experience is required, since SQL and Python start from their very first command. Basic numeracy helps, and the statistics module rebuilds every concept it uses, step by step. Keep a laptop with 8GB RAM and a stable internet connection ready for practical classes.
Shahjahanpur learners can select weekday or weekend live batches, arranged around college timetables, mill shifts and office hours. A free online demo class is available beforehand.
Seats are limited and updated daily. All timings are in IST.
Nine modules spanning more than 120 hours follow the actual flow of an analytics assignment: obtain the data, clean it, analyse it, interpret it, visualise it and present it to whoever asked. Every module finishes with a graded practical on genuine data, and the ninth module compiles your best work into a portfolio you can share.
| 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.
Shahjahanpur learners who pass every module, assignment and the capstone receive Uncodemy's Data Analytics Program Certificate, carrying the course name, months of study, tools learned, finish date and a code for authenticity checks.
Mill owners and corporate employers want proof of skill, so the certificate is paired with graded spreadsheet, SQL, Python, statistics, BI and Gen AI assignments and a capstone tackling a complete business problem.
Mill owners, banks and corporate recruiters can confirm a Shahjahanpur learner's credential on Uncodemy's online portal at any hour.
Uncodemy Certificate Verification — Online Certificate Verification & Download: certificate.uncodemy.com
_3.webp)
_2.webp)
Uncodemy, a unit of Uncodemy Edutech Pvt. Ltd., builds its programs around getting learners into work. It teaches classroom groups in Delhi and Noida and live online groups in Shahjahanpur and across India. Learners include beginners, graduates, freshers and working professionals wanting practical capability.
In this course Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI are applied to genuine datasets via projects. The tasks echo real analytics work — tracking numbers, maintaining dashboards, preparing reports and informing decisions — so the step into employment feels natural. Every module of the syllabus is published in advance.
Every class rests on a support layer — mentor hours, graded practice, project feedback, interview rehearsal and job alerts. The written career support policy reaches you before you pay, stating the scope of help, its limits and the qualifying conditions.
Learners in Shahjahanpur may alternatively choose Uncodemy's live online programmes in AI, Machine Learning, Data Science or Business Analysis.
Begin from Shahjahanpur — attend live online classes, practise on mill, loom and market data, build a portfolio and prepare for analyst openings in Rohilkhand, Lucknow, NCR or remote teams.
Shahjahanpur's economy rests on sugar, textiles and trade. Large sugar mills and distilleries in the district manage cane-zone planning, weighbridge receipts, recovery rates and farmer payments; carpet and durrie weaving units handle yarn stocks and export orders; and the Ordnance Clothing Factory, one of the oldest defence production units in the country, anchors a network of suppliers and contractors.
Rice and flour mills, cold stores and the wholesale grain and cloth markets add steady reporting work, while banks, cooperative societies, hospitals and colleges are digitising their records.
Lucknow and Bareilly are within easy reach and the Ganga Expressway corridor is improving connections further west, so many learners also target those cities, NCR and remote roles. In every case SQL and a BI tool are basic expectations; the edge comes from defining the business question precisely, choosing the right indicator and explaining the recommendation simply.
Graduates target Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst roles. A sugar mill wants recovery by zone, a carpet unit wants order profitability, a cooperative bank wants overdue trends — and each is answered through 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 |
Freshers from the district commonly start as Data, MIS or Business Analysts — sometimes at a mill, sometimes with a Lucknow or NCR firm — and branch, after two to four years, into BI, product, marketing or operations analytics on the strength of complete, well-owned analyses.
Earnings depend on experience, sector and genuine ability with SQL and BI, and two people sharing one job title can be paid very differently. Profiles that stop at dashboards tend to start near the floor of a band; those who can also write efficient queries, break a messy problem into parts and argue convincingly for action begin higher and climb 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 usually start below Lucknow or NCR packages, while remote employers and larger groups often pay more within each band. All ranges are indicative and move with role, skills, experience, location, employer and market. Uncodemy guarantees neither pay nor placement.
Uncodemy places learners through more than 850 companies nationwide. Around Shahjahanpur, analyst work most often appears in:
Sugar mills and distilleries — cane-zone, recovery, weighbridge and payment analytics
Carpets, durries and textiles — yarn inventory, order costing and export tracking
Defence-supplier and engineering units — production and quality reporting
Cooperative banking, hospitals and colleges — overdue, patient and enrolment dashboards
Lucknow, Bareilly, NCR and remote roles — analytics openings beyond the district
Mills, weaving units and lenders look for different strengths, so settle on a target early and design portfolio projects around it.
Analyst skills are layered like warp and weft on a Shahjahanpur loom — each thread must sit in place before the pattern holds. A missing layer tends to show at the worst moment, during a technical interview or the first weeks of a new job, because employers test what you can do rather than what you've read.
Excel first — XLOOKUP, pivots and Power Query, so zone-wise or party-wise summaries come together quickly.
SQL next — joins, aggregations, subqueries and window functions across receipt, sales and payment tables.
Python then — Pandas and NumPy for season-long data, plus scripts that refresh recurring reports.
Statistics throughout — sampling, significance and regression, so conclusions survive tough questions.
One dashboard platform, properly — Power BI (DAX) or Tableau (calculated fields), polished until a cane manager can read the report without ringing you.
A local portfolio — three to five projects, such as cane recovery by village or carpet-order margins, each ending with advice.
Market yourself — practise SQL against a timer, rehearse business cases aloud and rewrite your CV so every project line states a measurable result.
Shahjahanpur learners typically reach interview level after six to seven months of steady practice. A focused hour each evening, kept up even through the crushing season, matters more than marathon weekends.
Analytics training on offer to Shahjahanpur learners ranges from inexpensive weekend classes to costly bootcamps. Here is exactly what this program 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 |
Its length and breadth follow what employers now expect: a fresher may be asked to clean a register in Excel, query it in SQL, automate part of it in Python and present it on a dashboard, all within one task. Recorded self-paced courses cost less, and a trader who wants only neater Excel and Power BI reports could reasonably pick one.
Syllabus, trainers, projects and fee are identical in every format. From Shahjahanpur, live online study is the practical route — real-time classes at home, doubts answered on the spot and timings around college or mill shifts.
Classrooms are in Noida and Delhi's Shakarpur area, about 330 km away, so hybrid rarely suits Rohilkhand learners. Online learners keep the same teaching, recordings, doubt clinics and placement services, and a permitted format switch retains 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 Shahjahanpur batches. Shahjahanpur 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 agri-trade and garment and ordnance units — the kind of data employers in Shahjahanpur & Rohilkhand actually hold.
All trainers and reviewers are published on the Uncodemy trainers page with their domain and experience.

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

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

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

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

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

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

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

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

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

CEO & Founder
ExpertiseCEO & Founder of GvCloud Secure and Uncodemy with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Six to seven months — 75-plus live online classes and more than 120 hours, run on weekdays or weekends to fit the crushing season and college terms.
Absolutely fine. Shahjahanpur learners often come from B.A., B.Com or agriculture degrees without code; SQL opens with SELECT, Python with variables, and Excel and SQL dominate the first two months.
Ten-plus: SQL, Python, Pandas, NumPy and Statistics on the analysis side; Excel, Power BI and Tableau on the reporting side; ChatGPT and Copilot as AI helpers.
Module 8 devotes eight hours to AI — briefing an AI tool on data tasks, verifying its SQL and Python, using Copilot in Excel and Power BI, and catching faulty AI figures.
Six: five guided builds (retail, banking, HR, e-commerce, healthcare) and a capstone you pick; sugar-mill or carpet-export data would suit Shahjahanpur employers.
Classes are live, every one of the 75-plus; recordings arrive afterwards for revision, and a single syllabus serves all formats.
From Shahjahanpur the all-in fee is ₹20,650, i.e. ₹17,500 with 18% GST added; notes, project reviews, the certificate and placement help carry no extra charge, and instalments open at ₹4,032 a month.
EMI is available from ₹4,032 monthly; tenure and approval depend on the finance partner, arranged by a counsellor.
Yes — book a free live demo from Shahjahanpur to see a trainer teach and browse the syllabus before paying.
Placement help covers CV and LinkedIn work, portfolio review, mock interviews and vacancies from 850-plus firms; employers make the final decision, so no job is promised.
Mills, carpet exporters, banks and remote analytics teams hire freshers who can show SQL, a BI tool and projects; starting pay is usually ₹3–6 LPA.
Indicatively ₹3–6 LPA at entry, ₹6–10 LPA mid-level, ₹10–15 LPA senior; Shahjahanpur offers may trail Lucknow, NCR or remote roles, and no figure is assured.
First titles are typically Data, MIS or Business Analyst, leading later to BI, reporting, marketing, product or operations analytics.
Any graduate is eligible; no coding or analytics experience needed.
No — they're indicative, based on Uncodemy's records and public reviews, and individual outcomes and EMI approval differ.
There is no classroom in the district; Uncodemy's in-person teaching takes place only in Delhi and Noida. Learners here follow identical batches by live video, and anyone in Delhi can visit the Shakarpur Extension office close to Nirman Vihar Metro.
More than 850 recruiters belong to the network — Clarivate, upGrad, Genpact, Fiserv and HSBC included. Records show alumni hired as Business Analysts by Fiserv and HSBC, as a Process Developer Analyst by Genpact and as an Intellectual Property Analyst by Clarivate.
In analyst hiring, a portfolio says more than a certificate. Below are five learner capstones with their mentors and source code; the Shahjahanpur note on each card suggests how to rebuild it around sugar mills and distilleries.
A retail chain's transaction tables are cleaned through SQL Server and arranged in Power BI so managers can compare sales by store, week and category, each chart meeting a written requirement.
Shahjahanpur version: Run the same SQL Server + Power BI pipeline on sugar mills and distilleries sales from Shahjahanpur and compare months, products and outlets.
Learners draft an entity diagram for an online music store, build it in PostgreSQL via PgAdmin4 and run queries to rank artists and identify valuable customers.
Shahjahanpur version: Model a garment and ordnance units catalogue the same way and rank items, customers and areas of Shahjahanpur & Rohilkhand by revenue.
Python | Pandas | Jupyter Notebook | GitHub | Mr. Upendra Kumar Tiwari – Senior Data Science Trainer | Shruti Saxena – Data Analyst
Shahjahanpur version: Clean and chart public health or footfall data for Shahjahanpur & Rohilkhand with the same Pandas and Matplotlib workflow.
Python, SQL and Power BI combine into a monthly HR, revenue and output report for an imaginary sugar trading company.
Shahjahanpur version: Build a scorecard of agri-trade employers around Shahjahanpur — 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
Shahjahanpur version: Swap IPL data for sugar mills and distilleries seasonality in Shahjahanpur and show peaks, slumps and outliers in one dashboard.