4.8 LPAHyderabadAnkit Singh
Data Analyst
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- Data Analytics Batch
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- DA/09/0823/S WD 7PM
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Read More →Durg Junction is where trains change crews and engines before pushing on toward Raipur, Nagpur or Visakhapatnam. A relay only works when each handover is clean — the baton passed at speed, nothing dropped. Data work has the same rhythm: a figure moves from a weighbridge to a ledger to a database to a dashboard, and every handover is a chance to lose accuracy. Durg sits at the centre of such flows: the Shivnath river's paddy belt and rice mills, the steel and ancillary units of the Durg–Bhilai belt, Hemchand Yadav University and many colleges, district offices, hospitals and busy wholesale markets. Uncodemy's Data Analytics Course teaches Durg learners to carry data cleanly from start to finish over 6–7 months of live online training in Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI.
Uncodemy holds classroom batches only in Noida and in Delhi's Shakarpur Extension, where the centre is opposite DSEU Ambedkar College near Nirman Vihar and Laxmi Nagar Metro Stations. Durg learners run alongside those same batches online, with 120-plus learning hours, more than 75 live sessions led by trainers, hands-on projects and a placement mentor. The course costs ₹17,500, or ₹20,650 once 18% GST is added.
Durg learners pass through Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI over six to seven months of live online classes, practising on rice-mill, steel-ancillary, healthcare and district-level data; mentors check each handover and mock interviews mark the final lap.
| 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 |
By the finish, a Durg learner can take a raw dataset — a rice mill's procurement sheet, an ancillary unit's job-card register or a hospital's admissions log — and carry it all the way to a clean, analysed and convincing result, choosing the right tool for each leg. Placement preparation then starts, after which eligible learners apply for analyst jobs; alumni examples from our records appear below.
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. Durg learners join these same live online batches and the same career-preparation process; outcomes depend on individual effort and the job market.
A rice miller near Durg wants to know why outturn dropped this season; a fabrication unit supplying the steel plant wants to see which jobs keep running late; a hospital wants to understand why its emergency ward overflows on Mondays. Each already holds records with the answer, but the numbers are scattered across registers and files. Data analytics gathers them, cleans them, tests patterns with statistics and hands over the result as a simple visual that drives a decision.
In Durg, an analyst typically spends the week pulling data with SQL from billing, ERP or hospital software, fixing duplicate entries and blank fields, comparing mills, job orders or wards in Excel or Python, publishing a Power BI or Tableau dashboard, and briefing a manager on what changed and what to do next.
Imagine a Durg rice mill. Data analytics explains why last season's outturn fell; data science forecasts paddy arrivals and quality; business analytics advises on procurement timing, pricing and buyer selection.
| 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 come from the cited sources and are approximate; Chhattisgarh offers depend on employer, role, skills, experience and timing.
Durg learners complete 6–7 months of study — 75-plus live online classes and over 120 learning hours. The first leg is Excel and SQL; the second is Python, statistics, data cleaning and exploratory analysis; the anchor leg is Power BI, Tableau and Generative AI. Rice-mill, steel-ancillary, healthcare and public-sector data run through the lessons, each stage ends in a guided project and the capstone is your solo sprint.
Eligibility: A graduation degree in any subject is all you need (see the eligibility criteria page). Prior coding isn't required — SQL and Python start from the basics. School-level arithmetic is enough, and statistics is taught step by step. You'll need a laptop with 8GB RAM and a stable internet connection for practical work.
Two tracks are open to Durg learners: a weekday live batch and a weekend one, slotted so mill seasons, plant rosters and college hours don't collide. Try a complimentary online demo first.
| 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.
The nine modules and 120-plus hours work like a relay: collect the baton (gather data), grip it securely (clean), run the leg (analyse), read the track (interpret), make the handover (visualise) and cross the line (present). Each module finishes with a practical test on real data; module nine completes 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.
Clear all nine modules, the assignments and your capstone, and Durg learners receive the Uncodemy Data Analytics Program Certificate — it states the programme, how long it ran, which tools you used, your finishing date and a code that proves it's genuine.
Employers care about the race, not just the medal. Graded Excel, SQL, Python, statistics, BI and Gen AI work and a capstone you ran alone travel with the certificate as proof of what you can do.
Whether the employer is a Shivnath-belt rice mill, a Bhilai contractor or a Bengaluru firm, the code on a Durg learner's certificate can be checked on Uncodemy's portal.
Uncodemy Certificate Verification — Online Certificate Verification & Download: certificate.uncodemy.com
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Uncodemy belongs to Uncodemy Edutech Pvt. Ltd., and every programme is built to reach one finish line — getting learners hired. Classroom groups meet in Delhi and Noida; online groups in Durg and across India join the very same lessons live.
The course applies Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI to real datasets, on tasks similar to those handled by analysts at rice mills, steel-belt suppliers, hospitals and public offices around Durg. The full syllabus is open to review before you enrol.
Teaching comes with mentor sessions, scored exercises, project reviews, mock interviews and job alerts. The career support policy is shared in writing before payment, explaining its scope, limits and eligibility rules.
Durg learners keen on AI, ML, Data Science or Business Analysis can pursue those as live online Uncodemy courses too.
Start in Durg — join live classes, practise on rice-mill, steel-belt and hospital data, build a portfolio and prepare for analyst roles in Chhattisgarh or remote teams.
Durg district lies in Chhattisgarh's rice bowl. The Shivnath river supports extensive paddy cultivation, and dozens of rice mills handle procurement, custom milling for the state, outturn tracking and sales. Cooperative societies and the public distribution system add procurement and stock data that increasingly need proper analysis.
Durg forms a twin urban area with Bhilai, home to one of India's largest integrated steel plants. Hundreds of ancillary, fabrication, engineering and logistics firms around Durg supply the plant and track orders, job cards, inventory and quality — work that suits analysts comfortable with SQL and dashboards.
Durg is the district headquarters and a major railway junction, so government offices, transport and logistics firms generate administrative and operational data. Hemchand Yadav University and many engineering and degree colleges produce graduates every year, while private hospitals and diagnostic centres are expanding.
Raipur is about 40 km away, offering corporate, banking and IT roles, and remote analytics jobs are open to Durg learners as well. Across employers, SQL and one BI tool are expected; what makes a candidate stand out is clear reasoning and a recommendation a manager can act on.
Entry titles open to Durg learners: Data Analyst, Business Analyst, MIS Executive/Analyst, BI Analyst, Marketing/Product Analyst and Operations Analyst. The baton changes hands — outturn sheets for a miller, job-card trackers for a fabricator, bed-occupancy views for a hospital — yet the kit stays SQL, spreadsheets and one 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 Durg–Bhilai belt a first post as Data, MIS or Business Analyst generally leads, in two to four years, to BI, production, procurement or hospital analytics — handed to people whose reports never drop a number and who learn the trade they serve.
Salaries depend on experience, industry and proven SQL and BI skill; the same job title can pay very differently. Basic reports earn entry pay; well-built queries, sound problem framing and clear recommendations earn more and quicker 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.
Steel-belt suppliers and larger hospitals often pay in the middle of the range, small mills and traders may start lower, and Raipur or remote employers can pay more. These ranges are indicative only; Uncodemy guarantees no salary or job.
Uncodemy's network includes 850-plus hiring companies nationwide. Around Durg, analysts work in:
Rice milling and agri-procurement — outturn, procurement and PDS stock reporting
Steel ancillaries and engineering — job-order, inventory and quality analytics for plant suppliers
Rail, transport and logistics — junction-linked freight and dispatch data
Healthcare, education and public offices — admissions, results and administrative reporting
Raipur and remote roles — corporate and analytics jobs nearby or online
Mills, steel suppliers and service employers prize different strengths, so choose your direction early and shape your portfolio around it.
Becoming an analyst is a relay: each skill hands over to the next, and a fumbled handover early usually costs you later — in a technical interview or your first month on the job.
Leg one, Excel — lookups, pivots and Power Query until a mill-by-mill or order-by-order summary is a five-minute job.
Leg two, SQL — joins across procurement, orders and dispatch, grouped totals, subqueries and window functions.
Leg three, Python — Pandas and NumPy for large mill or job-card logs and automated reports.
Leg four, statistics — samples, significance and a basic regression, so a claim about outturn or delays survives a sceptical manager.
The handover, a BI tool — Power BI (with DAX measures) or Tableau (with calculated fields), laid out so a mill owner reads it without a guide.
Finish line, a Durg portfolio — three to five projects, such as paddy outturn by variety or ancillary job delays, each ending in a recommendation.
The podium — race the clock on SQL problems, talk through business cases aloud and write a CV where every project line shows a result.
Most Durg learners need around six to seven months of steady training before interviews feel comfortable.
Durg learners can pick from cheap neighbourhood coaching, Raipur institutes or metro bootcamps. Below is a plain list of what Uncodemy's course actually contains.
| 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 breadth mirrors what hiring managers want now — Excel cleaning, SQL querying, Python automation and dashboard storytelling in one person. Recorded courses cost less, and a mill office that only wants tidier Excel and Power BI reports could reasonably choose one.
Syllabus, trainers, projects and fees are the same in every format. For Durg, live online learning is the practical choice — study from home, ask questions in real time and plan around college, mill or plant schedules.
Delhi and Noida are roughly 1,200 km from Durg, which rules out a hybrid pattern. Remote learners still get live classes, recordings, doubt clinics and full placement support, and an approved format switch carries every completed module 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 |
Who you will learn from in Durg. Live sessions for Durg are delivered online by the Delhi–Noida faculty. Irshad Khan, Senior Trainer for Data Analytics, leads the batch and approved the syllabus on this page, while Upendra Kumar Tiwari reviews its technical accuracy as a separate domain reviewer.
Learners from Durg & Central Chhattisgarh often work with rice milling and agri-procurement, steel ancillaries and retail and distribution records, so mentors encourage projects drawn from those sectors — sales registers, stock sheets, booking logs — giving your portfolio something local employers recognise, alongside NCR and remote teams.
Names, domains and LinkedIn profiles of every trainer are public on the Uncodemy trainers page.

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

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

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

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

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

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

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

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.

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.
Plan for six to seven months: more than 75 live online classes and 120-plus hours, run as either a weekday or a weekend batch for Durg.
You don't need to know coding. Rice-mill accountants, plant contractors' clerks and BCom graduates in Durg begin SQL with one SELECT and Python with simple variables; the first two months focus on Excel and SQL.
Ten-plus tools in three groups — SQL, Python, Pandas and NumPy to wrangle data; Statistics to test it; Excel, Power BI and Tableau to show it — with ChatGPT and Copilot as accelerators.
Eight hours in Module 8: writing precise prompts for data jobs, auditing AI-written SQL and Python, using Copilot in Excel and Power BI, and catching answers that sound right but aren't.
Six projects: five guided ones using retail, banking, HR, e-commerce and healthcare data, plus a capstone you choose. Paddy procurement or steel-ancillary order data would make a strong Durg capstone.
Yes, all classes are live — 75-plus real-time sessions, each recorded for revision. Every format follows one syllabus.
The total cost for Durg learners is ₹20,650 — ₹17,500 plus 18% GST — with EMIs starting from ₹4,032 a month.
EMI options begin at ₹4,032 monthly; the lender decides tenure and approval, and a counsellor will help arrange it.
Yes — Durg learners can attend a free online demo class, meet the trainer and check the syllabus before paying.
You get a sharpened CV and LinkedIn profile, portfolio critique, mock interviews and openings shared from 850-plus partner companies. The employer always decides, so no job can be guaranteed.
Rice mills, steel-belt suppliers, hospitals, Raipur firms and remote analytics teams hire freshers who can show SQL, a dashboard tool and good projects; starting offers usually range around ₹3–6 LPA.
A rough guide is ₹3–6 LPA at entry, ₹6–10 LPA mid-career and ₹10–15 LPA at senior level. Durg roles often pay less than Raipur or metro roles with the same title; nothing here is a promise.
The usual first seat is Data, MIS or Business Analyst; later legs lead to BI, production, procurement or hospital analytics.
Yes — any graduate can enrol; a BA, BCom or BSc from Hemchand Yadav University is as valid as an engineering degree.
Treat them as a guide drawn from Uncodemy records and public reviews — every learner's outcome and EMI arrangement can differ.
No classroom exists in Durg or elsewhere in Chhattisgarh; learners here join live online. Uncodemy's physical centres are in Noida and at Shakarpur Extension, Delhi, near Nirman Vihar Metro.
Recruiters include Genpact, Clarivate, HSBC, upGrad and Fiserv among 850-plus partners. Past learners have joined HSBC and Fiserv as Business Analysts, Genpact as a Process Developer Analyst and Clarivate as an IP Analyst.
Real projects from past batches — open the code on GitHub, see who mentored it, then try the Durg version on each card using data from Durg & Central Chhattisgarh.
Unorganised supermarket billing is cleaned in SQL Server and relayed into a Power BI view of store, month and category performance.
Durg version: Run the same SQL Server + Power BI pipeline on rice milling and agri-procurement sales from Durg and compare months, products and outlets.
In PgAdmin4, learners lay out a PostgreSQL schema for a digital music shop and write queries that surface the best-selling genres and repeat buyers.
Durg version: Model a retail and distribution catalogue the same way and rank items, customers and areas of Durg & Central Chhattisgarh by revenue.
Python | Pandas | Jupyter Notebook | GitHub | Mr. Upendra Kumar Tiwari – Senior Data Science Trainer | Shruti Saxena – Data Analyst
Durg version: Clean and chart public health or footfall data for Durg & Central Chhattisgarh with the same Pandas and Matplotlib workflow.
Python, SQL and Power BI are combined into a monthly paddy-procurement, outturn and dispatch report for a fictional Durg rice mill.
Durg version: Build a scorecard of steel ancillaries employers around Durg — 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
Durg version: Swap IPL data for rice milling and agri-procurement seasonality in Durg and show peaks, slumps and outliers in one dashboard.