4.8 LPAHyderabadAnkit Singh
Data Analyst
- Placed at
- FINELABS
- Program
- Data Analytics Batch
- Batch
- DA/09/0823/S WD 7PM
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Read More →Bhilai Steel Plant turns iron ore, coke and limestone into rails and plates by a strict sequence — charge the blast furnace, tap the hot metal, refine it in the converter, cast it, roll it. Skip a step or misjudge a temperature and the batch is scrap. Raw data behaves the same way: it must be charged, refined and rolled into shape before anyone can build on it. Bhilai generates that raw charge in abundance — the SAIL plant and its townships, a dense ring of ancillary and engineering units, IIT Bhilai, BIT Durg and many colleges, Sector-9 Hospital and private healthcare, and a lively retail and services scene. Uncodemy's Data Analytics Course teaches Bhilai learners to run that process with data across 6–7 months of live online classes in Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI.
Bhilai doesn't host an Uncodemy classroom; in-person batches run only in Noida and in Delhi's Shakarpur Extension, inside a building across from DSEU Ambedkar College near the Nirman Vihar and Laxmi Nagar Metro Stations. Bhilai learners are part of those batches through live online classes — 120-plus learning hours, 75-plus trainer-led sessions, real projects and a placement mentor. The course fee is ₹17,500, or ₹20,650 inclusive of 18% GST.
Bhilai learners spend six to seven months forging Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI in live online sessions, using steel-plant, ancillary-unit, hospital and education data; a mentor checks each heat for quality, and mock interviews are the final tensile test.
| Learning | 120+ Hours |
|---|---|
| Program Duration | 6–7 Months |
| Live Training | 75+ Live Sessions |
| Technology Coverage | 10+ Tools & Technologies |
| Practical Learning | Hands-on Projects & Case Studies |
| Program Fee | ₹17,500 + 18% GST |
| Total Fee | ₹20,650 |
| EMI | Starting From ₹4,032/Month* |
| Career Support | Dedicated Career & Placement Assistance |
| Hiring Network | 850+ Companies |
Out of the mill, a Bhilai learner can take raw charge — an ancillary unit's rejection log, a hospital's bed register or a coaching centre's admissions sheet — and roll it into a clean, analysed, persuasive finding, selecting the right equipment at each stage. Interview preparation follows, then eligible learners apply for analyst openings; a few alumni from our records 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. Bhilai learners join these same live online batches and the same career-preparation process; outcomes depend on individual effort and the job market.
A Bhilai fabrication unit supplying structural parts wants to know why one grade of steel causes more welding rejects; a Sector-9 hospital department wants to understand rising readmissions; a showroom in Supela wonders which weekends truly pay off. The evidence already sits in their records but, like ore straight from the mine, it's mixed with impurities. Data analytics smelts those records clean, tests patterns with statistics and casts the result into a chart that shows exactly what to do.
A typical Bhilai analyst's week: SQL pulls from a plant ERP, HMS or billing system, removing slag — duplicate rows and missing values — comparing heats, grades, wards or stores in Excel or Python, rolling out a Power BI or Tableau dashboard, and walking a works manager or administrator through the result and the next action.
Look at a Bhilai ancillary supplier. Data analytics explains why rejections rose last quarter; data science predicts which batches are likely to fail inspection; business analytics advises on supplier, process and pricing choices to protect margins.
| 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 |
Starting salary bands shown are approximate, based on the cited sources; Bhilai offers depend on employer, role, skills, experience and timing.
Six to seven months, 75-plus live online sessions, 120-plus hours. Stage one at the Bhilai 'works' is Excel and SQL; stage two adds Python, statistics, cleaning and exploratory analysis; stage three finishes with Power BI, Tableau and Generative AI. Plant, fabrication, hospital and coaching data are fed in all along, every stage ends with a guided build, and the capstone is the first product you ship.
Eligibility: A graduation degree in any discipline is required (see the eligibility criteria page). No coding background is needed — SQL and Python start from scratch. School arithmetic is sufficient; statistics is taught thoroughly during the course. Arrange a laptop with 8GB RAM and a stable internet connection for practice.
Bhilai learners can opt for weekday or weekend live batches, planned around college schedules and plant shift rotations (A, B and C). A free online demo class is open before enrolment.
Seats are limited and updated daily. All timings are in IST.
The nine modules and 120-plus hours follow the steelmaking route: mine the ore (collect data), beneficiate it (clean), smelt (analyse), refine (interpret), roll (visualise) and ship to the customer (present). Each module closes with a hands-on assessment on real data; module nine finishes 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.
Bhilai learners who pass all modules, assignments and the capstone get the Uncodemy Data Analytics Program Certificate, stating the course name, duration, tools learned, completion date and a verification code.
Steel is accepted after a lab report, not because of a stamp. Likewise, recruiters look at your marked Excel, SQL, Python, statistics, BI and Gen AI submissions and at a capstone you built alone — the certificate simply sits on top of that evidence.
From a Hathkhoj fabrication shop to a Pune IT company, any employer can confirm a Bhilai learner's credential on Uncodemy's portal.
Uncodemy Certificate Verification — Online Certificate Verification & Download: certificate.uncodemy.com
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Uncodemy, operated by Uncodemy Edutech Pvt. Ltd., forges every course toward one outcome — a job for the learner. Classroom batches run in Delhi and Noida, and online batches deliver identical lessons to Bhilai and across India.
You'll apply Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI to real datasets, on tasks similar to those handled by analysts in Bhilai's ancillary industry, hospitals, schools and retail. The full syllabus can be reviewed before joining.
Around the lectures sit mentor hours, marked practice sets, project critiques, interview rehearsals and job notifications. Before you pay, you receive the career support policy in writing, spelling out its scope, its limits and the eligibility rules.
Prefer AI, ML, Data Science or Business Analysis? Bhilai learners can join any of those as live online Uncodemy tracks instead.
Begin in Bhilai — log in to live classes, work with steel-belt, hospital and coaching data, assemble a portfolio and aim for analyst seats in Chhattisgarh, the metros or remote teams.
Bhilai Steel Plant, one of SAIL's flagship integrated plants and a major producer of rails, plates and structural steel, anchors the city's economy. Around it, the Bhilai Industrial Area and Hathkhoj host hundreds of ancillary and engineering units — fabrication, castings, refractories, transport and maintenance services — which track orders, inventory, quality and dispatch, increasingly through ERP systems.
Technical education is a Bhilai strength: IIT Bhilai, BIT Durg, SSTC and many engineering and degree colleges turn out graduates every year, and the city is a known coaching hub for engineering and medical entrance exams. Admissions, results and retention data offer analytics work in the education sector.
Healthcare is significant too: the plant's Jawaharlal Nehru Hospital in Sector 9 and growing private hospitals serve the Durg–Bhilai belt. Retail is busy around Supela, Nehru Nagar and Smriti Nagar, with malls and chain stores tracking sales and footfall.
Raipur is about 25 km away, and many Bhilai graduates work for Pune, Bengaluru or Hyderabad teams remotely. In every case, SQL and a BI tool are expected; what makes a difference is clear reasoning and a recommendation a manager trusts.
Typical first targets for Bhilai learners: Data Analyst, Business Analyst, MIS Executive/Analyst, BI Analyst, Marketing/Product Analyst and Operations Analyst. The product differs by customer — reject-rate sheets for a Hathkhoj fabricator, occupancy views for a hospital, enquiry funnels for a coaching brand — but the mill is always SQL, spreadsheets 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 |
In the twin city, a starting post as Data, MIS or Business Analyst usually leads, two to four years on, to BI, manufacturing, quality or ed-tech analytics — granted to people whose numbers hold up under inspection.
Pay depends on experience, sector and demonstrable SQL and BI skill; one title can pay very differently. Basic charts earn entry pay; robust queries, sharp problem framing and confident recommendations earn more and faster growth.
| 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.
Larger ancillary firms and hospitals often pay mid-range, small shops and traders may start lower, and Raipur, metro or remote employers can pay more. All ranges are indicative; Uncodemy does not guarantee salaries or jobs.
Uncodemy places learners through more than 850 companies across India. Around Bhilai, analysts work in:
Steel and ancillary engineering — production, quality, inventory and dispatch analytics
Coaching and technical education — enquiry-to-admission funnels, test-series results and dropout tracking
Healthcare — bed occupancy, OPD and pharmacy reporting
Retail and services — sales, footfall and customer analytics in Supela and Nehru Nagar
Raipur, metro and remote roles — analytics openings beyond the twin city
A fabricator, a coaching brand and a hospital will each test a candidate differently, so pick your lane early and alloy your portfolio for it.
Making an analyst resembles making steel: each process must run in sequence and at the right temperature. A shortcut early on leaves weakness inside the metal, and it typically cracks under load — in a technical interview or your first month at work.
Charge the furnace, Excel — XLOOKUP, pivots and Power Query so grade-wise or ward-wise summaries take minutes.
Tap the hot metal, SQL — joins across orders, heats and dispatches, grouped totals, subqueries and window functions.
Refine in the converter, Python — Pandas and NumPy for large production or patient logs and automated reports.
Lab test, statistics — sampling, hypothesis tests and regression to confirm your findings are sound.
Roll and finish, a BI tool — Power BI measures in DAX or Tableau calculated fields, laid out so a shift in-charge needs no explanation.
Despatch, a Bhilai portfolio — three to five finished pieces (welding rejects by steel grade, say, or entrance-coaching admissions by month), each closing with a recommendation.
Customer acceptance, interviews — timed SQL practice, business cases explained aloud and a CV that lists what each project improved.
Expect roughly six to seven months of disciplined heats before Bhilai learners feel ready to face an interview panel.
Bhilai learners can choose among neighbourhood coaching, Raipur institutes and metro bootcamps. The table lists what Uncodemy's course actually delivers.
| 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 scope mirrors what recruiters now ask of a fresher — Excel clean-up, SQL querying, Python automation and dashboard presentation. Recorded programmes cost less; an office needing only cleaner Excel and Power BI sheets might be happy with one.
Syllabus, trainers, projects and fee are the same in every format. For Bhilai, live online classes are the practical route — learn from home, clear doubts during class and schedule around college or rotating shifts.
With Delhi and Noida some 1,200 km away, a hybrid pattern doesn't suit Bhilai. Remote learners still have live classes, recordings, doubt clinics and placement help in full, and a format switch (once approved) carries completed modules 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 |
The people who teach Bhilai batches. There is no Uncodemy classroom in Bhilai, so learners from Bhilai & the Durg Steel Belt 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 Bhilai wants a capstone built on steel and ancillary engineering or technical education and coaching 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 & 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.

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.

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

CEO & Founder
ExpertiseCEO & Founder of GvCloud Secure and Uncodemy with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Six to seven months, consisting of 75-plus live online classes and more than 120 learning hours; Bhilai learners choose weekday or weekend batches.
No coding background is required. Ancillary-unit supervisors, coaching staff and commerce graduates in Bhilai start SQL from a single SELECT and Python from basic variables; Excel and SQL make up the first two months.
Over ten: SQL, Python, Pandas and NumPy do the heavy lifting with data, Statistics checks it, Excel, Power BI and Tableau display it, and ChatGPT plus Copilot speed the routine work.
Eight hours of Module 8 — telling an AI assistant precisely what data job you need, inspecting the SQL or Python it writes, using Copilot in Excel and Power BI, and catching outputs that look fine but aren't.
Five guided builds (retail, banking, HR, e-commerce, healthcare) and one capstone of your own. For a Bhilai learner, weld-reject or coaching-admission data makes a memorable capstone.
Yes, every class is live — 75-plus real-time sessions, each recorded for later viewing. All formats use the same syllabus.
The full fee is ₹17,500 plus 18% GST, so ₹20,650 for a Bhilai learner; monthly instalments are available from ₹4,032.
Instalments start at ₹4,032 per month. Your lender sets the tenure and decides approval; an Uncodemy counsellor handles the paperwork with you.
You can — sit a free online trial class from Bhilai, judge the trainer and read the module list before spending anything.
The help on offer: a reworked CV and LinkedIn, portfolio critique, practice interviews and vacancies shared from 850-plus partner firms. Hiring is the employer's call, so a job can't be promised.
Twin-city fabricators, hospitals, coaching chains, Raipur companies and remote analytics teams take freshers who can prove SQL, one dashboard tool and real projects; ₹3–6 LPA is the usual opening range.
A broad guide: ₹3–6 LPA when starting, ₹6–10 LPA in mid-career, ₹10–15 LPA at senior level. Bhilai salaries can sit below metro ones for the same title, and none of these figures is a promise.
Data, MIS or Business Analyst is the usual first job, with BI, manufacturing, quality or ed-tech analytics as the next step.
Yes, any graduate is eligible — a BSc, BCom or BA from a Bhilai college is as acceptable as a BTech.
Read them as a guide only — they come from Uncodemy records and public reviews, and each learner's result and EMI terms can differ.
There's no classroom in Bhilai or anywhere in Chhattisgarh, so learners here join live online. Uncodemy's physical rooms are in Noida and at Shakarpur Extension, Delhi, near Nirman Vihar Metro.
Genpact, Clarivate, HSBC, upGrad and Fiserv are among 850-plus recruiters. Alumni have joined HSBC and Fiserv as Business Analysts, Genpact as a Process Developer Analyst and Clarivate as an IP Analyst.
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 Bhilai version you can attempt with local data.
A store chain's untidy sales file is scrubbed in SQL Server and rolled into a Power BI board that lines up outlets, months and categories.
Bhilai version: Run the same SQL Server + Power BI pipeline on steel and ancillary engineering sales from Bhilai and compare months, products and outlets.
Learners design the PostgreSQL tables of an internet music store in PgAdmin4, then query them for chart-topping genres and loyal customers.
Bhilai version: Model a healthcare catalogue the same way and rank items, customers and areas of Bhilai & the Durg Steel Belt by revenue.
Python | Pandas | Jupyter Notebook | GitHub | Mr. Upendra Kumar Tiwari – Senior Data Science Trainer | Shruti Saxena – Data Analyst
Bhilai version: Clean and chart public health or footfall data for Bhilai & the Durg Steel Belt with the same Pandas and Matplotlib workflow.
Using Python, SQL and Power BI, learners create a monthly production, rejection-rate and dispatch report for a fictional Bhilai ancillary unit.
Bhilai version: Build a scorecard of technical education and coaching employers around Bhilai — 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
Bhilai version: Swap IPL data for steel and ancillary engineering seasonality in Bhilai and show peaks, slumps and outliers in one dashboard.