4.8 LPAHyderabadAnkit Singh
Data Analyst
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Read More →Belagavi is quietly one of India's precision-engineering towns. Its foundries cast components for automobile and pump makers worldwide, an aerospace manufacturing ecosystem has grown around a dedicated SEZ, sugar factories dot the surrounding taluks, and the cantonment, VTU headquarters and medical colleges give the city a steady professional population. Uncodemy's Data Analytics Course helps Belagavi learners join this data-driven economy through 6–7 months of live online lessons in Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI.
Uncodemy teaches in person only in Delhi and Noida; its Delhi centre occupies a building in Shakarpur Extension beside DSEU Ambedkar College, within a short walk of Nirman Vihar and Laxmi Nagar Metro Stations. Belagavi learners take part in those batches online, with 120+ learning hours, 75+ live lessons, applied projects and a dedicated placement mentor included. ₹17,500 is the course fee; adding 18% GST gives ₹20,650.
Think of the Belagavi program as a six-to-seven-month build sheet: spreadsheets and SQL first, Python and statistics next, Power BI, Tableau and Gen AI last — all taught live online. The practice parts list comes from foundry floors, aerospace supply chains, sugar factories and hospitals, a mentor signs off each stage, and the final stage is interview testing.
Learners who complete the course can take a foundry's rejection log, a sugar factory's cane register or a hospital's OPD sheet and return a disciplined, clearly presented analysis using the most suitable tool. Eligible learners then apply for analyst openings after career preparation; representative outcomes follow.
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. Belagavi learners join these same live online batches and the same career-preparation process; outcomes depend on individual effort and the job market.
A Belagavi foundry pours hundreds of castings a shift, and each one can fail for reasons of sand moisture, pouring temperature or alloy chemistry. Which pattern causes most rejections? Which customer's specifications cost the most rework? Which furnace drifts out of tolerance on night shift? A sugar factory asks which villages give the best recovery; a hospital asks when its ICU fills. Data analytics answers such questions by cleaning records, testing patterns statistically and presenting results visually, so managers act on evidence rather than habit.
In Belagavi, an analyst might extract shop-floor or ERP data with SQL, correct mismatched part numbers and missing readings, compare shifts, furnaces, customers or villages in Excel or Python, build a Power BI or Tableau dashboard and then review the findings with a quality engineer, plant head, cane officer or hospital administrator.
A foundry makes the distinction clear. Analytics explains why rejections rose last month; data science predicts which batches are likely to fail inspection; business analytics recommends process and supplier changes.
AspectTreat the salary column like a tolerance band rather than a spec — figures come from the cited sources and drift with employer, title, ability, experience, city and cycle.
Duration: 6–7 months. Live online lessons: 75-plus. Learning hours: 120-plus. Sequence: Excel and SQL, then Python, statistics, cleaning and exploratory analysis, then Power BI, Tableau and Generative AI. Every lesson uses shop-floor, cane or hospital style data, every phase closes with a guided build, and the capstone becomes the part you show recruiters first.
Eligibility: The entry gauge is simple — a completed undergraduate degree in any branch (details on the eligibility criteria page). Programming starts from zero. If your statistics are rusty, the statistics module recalibrates them. Equipment: a laptop with 8GB RAM and a reliable internet line.
Belagavi learners can choose weekday or weekend live batches, arranged around engineering-college terms, foundry shifts and office hours. A free online demo lesson is available before you enrol.
Seats are limited and updated daily. All timings are in IST.
Nine modules spanning 120+ hours follow the same discipline a quality engineer uses — gather data, clean it, analyse it, interpret it, visualise it and report it. Every module finishes with a graded practical on genuine data, and the last module compiles 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.
Completion criteria: all nine modules passed, every assignment submitted, capstone approved. Output: the Uncodemy Data Analytics Program Certificate, stamped with course title, duration, tools covered, completion date and a traceable verification code.
A Belagavi quality manager would never accept a part without an inspection report; recruiters feel the same about candidates. Your certificate therefore ships with its own 'inspection report' — graded spreadsheet, SQL, Python, statistics, BI and Gen AI work and a capstone you engineered alone.
Like a part number, each certificate is traceable: manufacturers and recruiters can confirm it on Uncodemy's online portal at any time.
Uncodemy Certificate Verification — Online Certificate Verification & Download: certificate.uncodemy.com
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Uncodemy belongs to Uncodemy Edutech Pvt. Ltd. and designs each course around employability. Classroom groups meet in Delhi and Noida, while live online groups carry the same lessons to Belagavi and across India. Learners include beginners, engineering and commerce graduates, freshers and working professionals.
Inside the program, Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI are run against real datasets as projects. The work is modelled on what analysts in Udyambag's quality labs, the aerospace SEZ's planning desks, sugar-factory cane offices and KLE's hospital administration actually do — so the first job feels like the next lesson. The module list is open for review before admission.
Support systems run alongside every lesson: mentor hours, graded practice, project reviews, interview rehearsal and job alerts. The career support policy — scope, exclusions, eligibility — is handed over in writing before any fee is paid.
Engineers and graduates in the border district who'd rather specialise in AI, ML, Data Science or Business Analysis can take those as live online tracks with Uncodemy.
Start in Belagavi — attend live online lessons, practise on foundry, aerospace and sugar data, assemble a portfolio and prepare for analyst roles locally, in Pune or Bengaluru, or remotely.
Belagavi's engineering cluster is its strongest card. Hundreds of foundries and machine shops in Udyambag, Macche and the surrounding industrial estates supply castings and components to automobile, tractor, pump and valve manufacturers in India and abroad, while an aerospace SEZ has attracted precision-component makers serving global aircraft programmes. These firms run quality systems that generate vast inspection, rejection and production data — prime material for analysts.
Sugar factories across Belagavi district, one of Karnataka's largest cane-growing areas, track cane, recovery and payments. Banks and cooperative credit societies, KLE's hospitals and medical college, VTU and dozens of engineering colleges, and a sizeable cantonment add further reporting work.
Pune, Kolhapur and Bengaluru are within reach, and many learners also target remote roles. Across employers, SQL and a BI tool are expected; those who succeed define the business question precisely, choose the right quality or financial metric and explain the recommendation clearly.
Graduates typically apply for Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst posts. A foundry asks which pattern drives scrap, an aerospace supplier asks why deliveries slip, a sugar factory asks which villages under-deliver — and every answer is machined from SQL, spreadsheets and a BI 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 |
In Belagavi the usual first role is Data, MIS or Business Analyst inside a quality or planning cell. Two to four years on, people move into BI, supply-chain, product or operations analytics, promoted because they delivered complete root-cause studies, not because they collected more certificates.
Pay depends on experience, sector and real competence in SQL and BI, and the spread inside one designation can be wide — like two machinists with the same title but very different output. Dashboard-only skills tend to start near the bottom of the band; add lean queries, structured problem-solving and convincing recommendations and you start 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.
Aerospace suppliers and larger engineering houses commonly pay around the middle of each bracket; smaller foundries and local businesses may start lower; Pune, Bengaluru and work-from-home roles can go higher. These are illustrative ranges that shift with role, ability, experience, city, employer and market — no salary or job is assured.
Uncodemy's network of more than 850 hiring companies spans India's enterprises and start-ups. For Belagavi learners, analyst demand centres on:
Foundries and machine shops — rejection, yield, furnace and customer-quality analytics
Aerospace and precision manufacturing — on-time delivery, traceability and inspection reporting
Sugar factories — cane-zone, recovery and payment tracking
Banking, healthcare and education — collections, hospital operations and institutional dashboards
Pune, Bengaluru, Kolhapur and remote roles — analytics positions beyond the city
Foundries, aerospace firms and sugar factories each value different strengths, so choose your target early and orient your portfolio toward it.
Analytical ability is built the way a casting is made — pattern, mould, pour and finish in order. Skip a step and the defect shows, usually in a technical interview or your first months on the job.
Spreadsheet precision — XLOOKUP, pivots and Power Query for shift-wise or part-wise summaries.
SQL competence — joins across inspection, production and order tables, grouped totals, subqueries and window functions.
Python capability — Pandas and NumPy for high-volume sensor or inspection logs and automated reports.
Statistical control — distributions, control limits, hypothesis tests and regression, essential in quality-driven plants.
Dashboard finishing — Power BI with DAX or Tableau with calculated fields, machined to the point where a plant head reads it during the morning meeting without your help.
A shop-floor portfolio — three to five projects, say scrap root-cause by pattern, supplier on-time delivery or cane recovery by village, each ending with a clear recommendation.
Final inspection — timed SQL drills, rehearsed case discussions and a CV and LinkedIn where every line states a measured improvement.
Most Belagavi learners reach interview standard after six to seven months of regular study — the same steady discipline a good quality engineer applies to every shift.
Belagavi learners can choose among local institutes, Pune-based programmes and online courses at very different prices. Here is the specification sheet for this one.
| 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 may look over-specified, but a Belagavi junior is routinely asked to clean data in Excel, extract it with SQL, automate in Python and present on a dashboard — sometimes for one customer complaint. Recorded courses cost less; an engineer who only needs an Excel and Power BI refresher could choose one.
Same syllabus, trainers, projects and fee in every format — only the delivery changes. From Belagavi, live online lessons are the sensible choice: real-time teaching at home, doubts cleared on the spot and timings that bend around three-shift foundry rosters.
Uncodemy's physical rooms are in Noida and Delhi's Shakarpur area, around 1,800 km north, so hybrid simply isn't practical from the border district. Online learners give up nothing — live lessons, recordings, doubt clinics and full placement support all apply, and an approved format change keeps your progress intact.
| 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 Belagavi batches. Belagavi 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 aerospace precision engineering and sugar and agri-trade — the kind of data employers in Belagavi & the Karnataka–Maharashtra border actually hold.
All trainers and reviewers are published on the Uncodemy trainers page with their domain and experience.

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.

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.

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.
Cycle time: six to seven months, comprising 75-plus live online lessons and over 120 hours. Batches run on weekdays or weekends, so rotating foundry shifts aren't a problem.
Zero coding is the normal starting point here. Mechanical, commerce and arts graduates in Belagavi begin SQL with a single SELECT and Python with variables, and the first two months stay mostly inside spreadsheets and queries.
Belagavi's quality and planning teams mostly ask for SQL, Excel and a dashboard tool, so those form the core — supported by Python, Pandas, NumPy and Statistics, Power BI and Tableau for reporting, and ChatGPT and Copilot for AI help. Ten-plus tools in all.
Module 8 is an eight-hour Gen AI block: specifying a data problem for an AI assistant, inspecting the SQL or Python it returns, using Copilot inside Excel and Power BI, and rejecting figures that fail a sanity check.
Six deliverables — guided builds on retail, banking, HR, e-commerce and hospital data, plus a capstone you specify. A scrap-rate study from a foundry or a supplier-delivery analysis would speak directly to Belagavi employers.
Lessons are delivered live, all 75-plus of them, with recordings posted afterwards; classroom, online and hybrid batches share one syllabus.
Total cost for Belagavi learners: ₹20,650, which is ₹17,500 plus 18% GST. Included: lessons, notes, project reviews, certification and placement support. EMI option: from ₹4,032 a month.
EMI starts at ₹4,032 per month; tenure, the precise instalment and sanction are set by the lender you pick, with a counsellor handling the paperwork.
Yes — book a free trial lesson from Belagavi, watch a trainer in action, ask questions and inspect the module plan before committing.
The placement desk reworks CVs and LinkedIn profiles, critiques portfolios, runs mock interviews and circulates openings from 850-plus recruiters. Hiring is the employer's decision, so no job can be guaranteed.
Freshers are hired: foundries, aerospace suppliers, sugar factories, lenders and remote analytics teams take on newcomers who can prove SQL, a BI tool and finished projects. First offers typically fall around ₹3–6 LPA.
Indicative brackets: ₹3–6 LPA for newcomers, ₹6–10 LPA with some experience, ₹10–15 LPA at senior level. Belagavi pay often sits a step below Pune or Bengaluru for the same title; Uncodemy commits to no figure.
Most begin as Data, MIS or Business Analysts — frequently in quality or planning — and later move toward BI engineering, supply-chain analytics, reporting leadership or operations analysis.
A finished degree in any branch is the only entry condition; no coding or analytics background is assumed, and batches mix engineering finalists, plant staff and career switchers.
No — they're reference values, not specifications. They come from our placement logs and public review sites, both revised over time; each learner's result depends on skill, background, location, employer and timing, and lenders decide EMIs.
The border district has no Uncodemy classroom; in-person teaching happens only in Delhi and Noida, so Belagavi learners follow identical batches over a live link. When in Delhi, the Shakarpur Extension office is near Nirman Vihar Metro.
Over 850 recruiters — Genpact, Fiserv, upGrad, HSBC and Clarivate among them. Alumni records list 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 Belagavi note on each card suggests how to rebuild it around foundries and machine shops.
A retailer's raw transaction tables are machined into shape with SQL Server and assembled in Power BI so managers can inspect revenue by region, week and category — each visual traceable to a written requirement.
Belagavi version: Run the same SQL Server + Power BI pipeline on foundries and machine shops sales from Belagavi and compare months, products and outlets.
Learners draft an entity design for an online music store, fabricate it in PostgreSQL via PgAdmin4 and query it to identify top-earning genres, repeat customers and untapped markets.
Belagavi version: Model a sugar and agri-trade catalogue the same way and rank items, customers and areas of Belagavi & the Karnataka–Maharashtra border by revenue.
India's COVID-19 record is treated like noisy sensor data: gaps patched in Pandas, rates computed with NumPy and state-wise waves plotted in Matplotlib.
Belagavi version: Clean and chart public health or footfall data for Belagavi & the Karnataka–Maharashtra border with the same Pandas and Matplotlib workflow.
Python transforms, SQL stores and Power BI displays — producing a monthly workforce, output and on-time-delivery report for an imaginary aerospace-components supplier.
Belagavi version: Build a scorecard of aerospace precision engineering employers around Belagavi — 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
Belagavi version: Swap IPL data for foundries and machine shops seasonality in Belagavi and show peaks, slumps and outliers in one dashboard.