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 →Bundelkhand's gateway city is better known for Rani Lakshmibai's fort than for data jobs, yet Jhansi is quietly changing. A major railway division and workshop, the BHEL plant, the defence industrial corridor node, a growing medical-college and university network and new solar projects across the region all now hire people who can make sense of operational records. Uncodemy's Data Analytics Course gives Jhansi learners that ability through 6–7 months of live online instruction in Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI.
Uncodemy maintains classrooms in Delhi and Noida only; the Delhi site is in Shakarpur Extension, flanking DSEU Ambedkar College, within walking distance of both Nirman Vihar and Laxmi Nagar Metro Stations. Jhansi candidates are enrolled in those same batches and attend over a live link, with more than 120 instruction hours, 75-plus trainer-led sessions, applied projects and a named placement mentor included. The fee of ₹17,500 rises to ₹20,650 with 18% GST.
Jhansi candidates follow a six-to-seven-month live online program in Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI, applied to railway, engineering, healthcare and agri-trade scenarios, with periodic mentor reviews and a closing interview clinic.
| 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 |
Graduates of the program can receive an unfamiliar workshop register, hospital log or sales extract and return a disciplined analysis, clearly presented, using whichever course tool suits. After the career-preparation stage, eligible graduates apply for analyst posts; 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. Jhansi learners join these same live online batches and the same career-preparation process; outcomes depend on individual effort and the job market.
Consider a railway workshop tracking how long each coach overhaul takes, a Bundelkhand seed and fertiliser dealer comparing sales across good and poor monsoon years, or a hospital trying to understand why its emergency ward overflows in summer. Each sits on records that, once cleaned and examined, reveal where time is lost, which inputs pay off and what the next season may bring. Data analytics is precisely that examination — correcting raw data, testing patterns statistically and displaying results so that decision-makers act on evidence rather than habit. Hospitals, lenders, colleges and government offices across the region rely on the same discipline every day.
The analyst's routine combines retrieval, repair and explanation. Records are fetched from a database or ERP with SQL; duplicate entries, missing values and mismatched codes are corrected; periods, units or wards are compared in Excel or Python; and the findings are set out in a Power BI or Tableau dashboard. The work concludes in conversation — with a workshop engineer, hospital administrator, finance officer or sales manager — about what the figures imply and what should change before the next review.
A railway workshop shows the three side by side. Analytics establishes why overhaul times lengthened last year; data science predicts which components will fail next; business analytics recommends maintenance scheduling and spares procurement.
| 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 are approximate entry figures taken from the referenced sources and fluctuate with employer, designation, competence, experience, city and labour market.
Jhansi candidates complete 6–7 months of study, made up of more than 75 live sessions and over 120 learning hours. The program opens with Excel and SQL — tools most Bundelkhand offices already touch — then advances to Python, statistics, data cleaning and exploratory analysis, and concludes with Power BI, Tableau and Generative AI. Every session draws on real data, each stage closes with a guided project, and the capstone anchors the portfolio a candidate presents to recruiters.
Eligibility: Candidates must hold a bachelor's degree in any discipline (full conditions on the eligibility criteria page). Programming is introduced from first principles, so no prior coding is expected. A working comfort with numbers is useful; the statistics module rebuilds core concepts methodically. A laptop with 8GB RAM and a stable internet connection is recommended.
Weekday and weekend live batches are offered, scheduled with university timetables, railway rosters and office hours in mind. Candidates unsure about online study may attend a free demo session first to judge the teaching for themselves.
| 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 syllabus comprises nine modules over 120+ hours, ordered to match analytical practice: acquisition, cleaning, analysis, interpretation, visualisation and communication. Each module ends with a graded practical on genuine data, and the ninth module compiles the candidate's 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.
On completing all nine modules, the prescribed assignments and the capstone, Jhansi candidates are awarded the Uncodemy Data Analytics Program Certificate. It records the program, its duration, the tools studied and the completion date, and bears a verification reference; it is conferred only after coursework and assessment are satisfied.
Recruiters in engineering and healthcare increasingly ask what a candidate has actually produced; the answer here is a portfolio of graded spreadsheet, SQL, Python, statistics, BI and Gen AI work, crowned by a capstone planned and executed alone.
The authenticity of a Jhansi candidate's certificate may be confirmed online at any time through Uncodemy's certificate portal.
Uncodemy Certificate Verification — Online Certificate Verification & Download: certificate.uncodemy.com
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Uncodemy is administered by Uncodemy Edutech Pvt. Ltd. and frames each program around employment outcomes. Classroom instruction is offered in Delhi and Noida, and live online instruction serves Jhansi and every other region. Candidates include beginners, graduates, freshers and serving professionals seeking applied competence.
Within the program, Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI are applied to authentic datasets through projects. The exercises replicate the work of analytics teams — monitoring indicators, maintaining dashboards, preparing reports and informing decisions — so that the transition to employment is smooth. The full syllabus is available for inspection before enrolment.
Instruction is supported by live mentoring, practical exercises, projects, interview preparation and career guidance. The career support policy, issued in writing before admission, defines the scope of assistance, its exclusions and eligibility.
Should a neighbouring field appeal more, Bundelkhand candidates may enrol in Uncodemy's live online tracks in AI, ML, Data Science or Business Analysis.
Enrol from Jhansi to attend live online sessions, practise on railway, engineering and service data, assemble a portfolio and prepare for analyst positions within Bundelkhand or beyond.
Jhansi's largest employers generate exactly the kind of data analysts work with. The railway division and its workshops manage rolling-stock maintenance, punctuality and inventory; the BHEL unit and engineering suppliers track production and quality; and the Bundelkhand node of the UP Defence Industrial Corridor is expected to bring manufacturers with modern reporting needs. The Bundelkhand Expressway and the planned industrial area near it add logistics potential.
Healthcare is a second pillar: the medical college and private hospitals serve a wide catchment and increasingly digitise patient and pharmacy records. Banks and microfinance lenders active in a drought-prone agricultural region need credit and collection analysis, while government and development programmes require MIS reporting.
Many Jhansi candidates also aim for Gwalior, Kanpur, NCR and remote positions. Across employers, SQL and a BI tool are treated as prerequisites; those who succeed frame the business question carefully, select an appropriate metric and articulate a clear recommendation.
Typical applications after the program are for Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst vacancies. The railway workshop asks about overhaul turnaround, the medical college about bed occupancy and the microfinance lender about overdue groups; the analyst responds in each case with SQL, spreadsheets and a dashboard.
| Role | Core Tools |
|---|---|
| Data Analyst | SQL, Excel, Python, Power BI |
| Business Analyst | SQL, Excel, BI tools |
| MIS Executive / Analyst | Excel, SQL, Power BI |
| Business Intelligence Analyst | Power BI, Tableau, SQL, DAX |
| Marketing / Product Analyst | SQL, Python, BI tools |
| Operations Analyst | Excel, SQL, Power BI |
Bundelkhand freshers generally enter as Data, MIS or Business Analysts and specialise over two to four years in BI, product, marketing or operations analytics, their advancement tied to the ownership of complete analyses and command of a sector's vocabulary.
Remuneration reflects experience, sector and practical command of SQL and BI, and salaries within a single designation can vary widely. Candidates limited to dashboards generally begin lower; those who also write efficient queries, structure problems and argue sound recommendations begin higher and advance 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.
Jhansi-based employers typically offer less than Kanpur, NCR or metro companies, whereas public-sector-linked engineering roles and remote positions may sit higher within each band. Figures are indicative and vary with role, skills, experience, location, employer and market. Uncodemy guarantees neither salary nor employment.
Uncodemy's network comprises more than 850 hiring companies across India, from large enterprises to start-ups. For Jhansi and Bundelkhand candidates, analyst demand centres on:
Railways and heavy engineering — maintenance, punctuality, inventory and production analytics
Defence-corridor manufacturing — quality, supply chain and output reporting as units establish
Healthcare — patient flow, pharmacy stock and diagnostic reporting
Agri-finance and microfinance — credit, recovery and seasonal-risk analysis
Gwalior, Kanpur, NCR and remote roles — analytics positions beyond the region
Engineering, healthcare and finance employers emphasise different abilities, so candidates should choose a direction early and orient their portfolio toward it.
Analytical competence is constructed in stages, each resting on the previous one, much like the ramparts of Jhansi fort. A missing course of stone shows under strain — typically in a technical interview or during the first months of employment.
Spreadsheet groundwork — become quick with XLOOKUP, pivot tables and Power Query so that coach-wise, ward-wise or branch-wise summaries take minutes rather than hours.
Querying discipline — practise SQL joins across maintenance, inventory or patient tables, grouped totals, nested subqueries and window functions such as LAG and RANK.
Python for scale — move to Pandas and NumPy when logs run to lakhs of rows, and script the monthly report so that it rebuilds itself.
Statistical rigour — study distributions, confidence intervals, hypothesis tests and regression output, so conclusions withstand an engineer's scrutiny.
Dashboard delivery — carry Power BI (with DAX) or Tableau (with calculated fields) through to a report that a divisional officer can explore unaided.
A Bundelkhand portfolio — three to five projects, perhaps component-failure intervals or rainfall versus crop-loan recovery, each concluding with a recommendation.
Methodical applications — timed SQL exercises, rehearsed case discussions and a CV and LinkedIn profile that quantify what each project achieved.
Most Jhansi candidates attain interview readiness after six to seven months of disciplined study; sustained daily practice is markedly more effective than intermittent long sessions.
Candidates in Jhansi will encounter analytics courses at very different price points. The summary below specifies precisely 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 |
The extended duration and broad toolset correspond to current hiring expectations, under which juniors move among Excel, SQL, Python and BI tools within one assignment. Recorded self-paced courses cost less; a candidate requiring only an Excel and Power BI refresher may reasonably select one.
All formats share the same syllabus, trainers, projects and fee. For Jhansi, live online study is the appropriate mode: sessions are attended in real time from home, doubts are resolved immediately and timings accommodate shifts and college.
Uncodemy's only classrooms lie in Noida and in Delhi's Shakarpur area, roughly 400 km north, which makes hybrid attendance impractical for most of Bundelkhand. Remote study carries the same entitlements — live instruction, recordings, doubt clinics and the full placement programme — and an approved change of format carries progress forward.
| 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 Jhansi. Live sessions for Jhansi 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 Jhansi & Bundelkhand often work with railway workshops, Bundelkhand agri-trade and defence and education 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 & 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 — over 75 live online sessions, 120-plus hours, weekday or weekend batches compatible with railway rosters.
Prior coding is unnecessary. Bundelkhand candidates from arts, commerce or science backgrounds start SQL with a basic SELECT and Python with variables; the opening two months emphasise Excel and SQL.
A dozen-odd: Pandas, NumPy, core Python and SQL for wrangling records; Statistics for inference; Tableau, Power BI and Excel for presentation; Copilot and ChatGPT as productivity aids.
An eight-hour Module 8 addresses AI for analysts: prompt design, review of AI-written SQL and Python, Copilot in Excel and Power BI, and detection of erroneous AI output.
Six — five guided projects spanning retail, banking, HR, e-commerce and healthcare, and a candidate-chosen capstone; railway-maintenance or hospital data would suit Jhansi employers well.
Entirely live: trainers conduct each of the 75-plus sessions in real time and recordings follow for revision; one syllabus governs every format.
₹20,650 in total for Jhansi candidates — ₹17,500 plus 18% GST — inclusive of sessions, materials, projects, certification and placement support; EMI from ₹4,032 per month.
Monthly instalments begin at ₹4,032, with tenure and approval determined by the financing partner and arranged by a counsellor.
Yes — any Jhansi candidate may reserve a free trial session, watch a trainer at work, put questions directly and browse the module plan before paying.
Placement assistance comprises CV and LinkedIn revision, portfolio review, mock interviews and openings from over 850 companies; employers retain hiring decisions, so employment is not guaranteed.
Engineering suppliers, hospitals, lenders and remote analytics teams engage freshers who can evidence SQL, a BI tool and project work; indicative starting pay is ₹3–6 LPA.
Indicatively ₹3–6 LPA at entry, ₹6–10 LPA at mid-level and ₹10–15 LPA for senior analysts; Jhansi positions may pay below Kanpur, NCR or remote equivalents, and no figure is assured.
Railway-town alumni most often begin as Data, MIS or Business Analysts; with time they move toward dashboard engineering, reporting leadership, product or sales analytics, or plant and hospital operations.
Any graduate is eligible, irrespective of discipline and without prior coding or analytics experience.
They should be read as indications only. The numbers stem from Uncodemy's placement records and open review sites, both periodically revised; each candidate's result reflects skill, experience, city, employer and timing, and lenders decide on EMIs.
Bundelkhand has no Uncodemy classroom; Jhansi candidates join the same batches online. The Delhi centre stands in Shakarpur Extension near Nirman Vihar Metro.
The network exceeds 850 companies, including Genpact, Clarivate, HSBC, Fiserv and upGrad, with placements on record as Business Analysts at HSBC and Fiserv, a Process Developer Analyst at Genpact and an Intellectual Property Analyst at Clarivate.
Real projects from past batches — open the code on GitHub, see who mentored it, then try the Jhansi version on each card using data from Jhansi & Bundelkhand.
Sales records for a fictional retailer are standardised through SQL Server and presented in a Power BI report permitting analysis by region, period and product category, each view tied to a requirement.
Jhansi version: Run the same SQL Server + Power BI pipeline on railway workshops sales from Jhansi and compare months, products and outlets.
Candidates construct a PostgreSQL database for an online music store in PgAdmin4 from an entity-relationship design and query it to determine top genres, recurring customers and growth potential.
Jhansi version: Model a defence and education catalogue the same way and rank items, customers and areas of Jhansi & Bundelkhand by revenue.
National COVID-19 statistics are reconciled in Pandas, quantified with NumPy and plotted with Matplotlib to compare infection waves and fatality ratios among states.
Jhansi version: Clean and chart public health or footfall data for Jhansi & Bundelkhand with the same Pandas and Matplotlib workflow.
Python, SQL and Power BI are integrated to generate a monthly personnel, revenue and productivity report for an imaginary engineering supplier.
Jhansi version: Build a scorecard of Bundelkhand agri-trade employers around Jhansi — size, hiring trend and pay bands — with SQL and DAX.
Several seasons of IPL records are processed into batting and bowling metrics and presented through more than 44 visualisations.
Jhansi version: Swap IPL data for railway workshops seasonality in Jhansi and show peaks, slumps and outliers in one dashboard.