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Data Analytics Course in Jhansi with Gen AI & Placement Assistance

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.

Why Choose Uncodemy?

14+Years of Training Excellence
850+Companies in Our Hiring Network
54,000+Learners Trained
200+Corporate Associations
₹20,650
  • Program Fee₹17,500 + 18% GST
  • Total Fee (incl. 18% GST)₹20,650
  • EMIFrom ₹4,032/month
  • Mode in JhansiLive Online (classroom only at Delhi & Noida centres)
EMIFrom ₹4,032/month

Program Details

Data Analytics with Gen AI — Instructor-Led Training & Career Support Program

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.

Learning120+ Hours
Program Duration6–7 Months
Live Training75+ Live Sessions
Technology Coverage10+ Tools & Technologies
Practical LearningHands-on Projects & Case Studies
Program Fee₹17,500 + 18% GST
Total Fee₹20,650
EMIStarting From ₹4,032/Month*
Career SupportDedicated Career & Placement Assistance
Hiring Network850+ Companies

Data Analytics Course in Jhansi — Quick Facts

Course
Data Analytics with Gen AI
Provider
Uncodemy Edutech Pvt. Ltd.
Total Learning
120+ Hours
Curriculum
9 Modules
Projects
5 Guided + 1 Capstone
Tools
Excel, SQL, Python, Statistics, Power BI, Tableau and Gen AI
Modes
Live Online (classroom only at Delhi & Noida centres)
Prior Coding
Not Required
Certificate
Uncodemy Program Certificate

List of Placed Students Trained by Uncodemy

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.

Ankit Singh, Data Analyst placed at FINELABS4.8 LPAHyderabad

Ankit Singh

Data Analyst

Placed at
FINELABS
Program
Data Analytics Batch
Batch
DA/09/0823/S WD 7PM
Read placement record
Ashish Butola, Data Analyst placed at Allsoft Solutions4.8 LPAIndia

Ashish Butola

Data Analyst

Placed at
Allsoft Solutions
Program
Data Analytics Batch
Batch
DS/12/0823/IR WE 12 PM
Read placement record
Rajat Kashyap, Data Analyst placed at Hexalog4.0 LPADelhi

Rajat Kashyap

Data Analyst

Placed at
Hexalog
Program
Data Analytics Batch
Batch
DS/DA Weekend July Batch 10 AM
Read placement record
Sagar B. Shembade, Data Analyst placed at SmartStudy3.25 LPAPune

Sagar B. Shembade

Data Analyst

Placed at
SmartStudy
Program
Data Analytics Batch
Batch
DA/WD/S 08:00 PM 08 JAN-UC
Read placement record
Priyanka Kumari, Data Analyst placed at CloudFirst Digital3.0 LPANoida

Priyanka Kumari

Data Analyst

Placed at
CloudFirst Digital
Program
Data Analytics Batch
Batch
DS/DA Weekend July Batch 10 AM
Read placement record
Shruti Saxena, Data Analyst placed at Jepius Healthcare3.0 LPADelhi

Shruti Saxena

Data Analyst

Placed at
Jepius Healthcare
Program
Data Analytics Batch
Batch
DS/DA/09/UP WD 12:30 PM
Read placement record

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.

What is Data Analytics?

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.

What does a data analyst do?

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.

Data Analytics vs Data Science vs Business Analytics

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.

AspectData AnalyticsData ScienceBusiness Analytics
Core questionWhat happened, and why?What will happen next?What should the business do?
Coding depthLow to moderateHighLow
Typical entry salary₹3–6 LPA₹8–18 LPA₹4–7 LPA
Time to job-ready6–7 months9–12 months5–6 months

Salary bands are approximate entry figures taken from the referenced sources and fluctuate with employer, designation, competence, experience, city and labour market.

Course Overview

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.

  • Bundelkhand residents who want structured live teaching while staying in Jhansi.
  • Graduates of Bundelkhand University, the medical and engineering colleges and other institutions, from any stream, pursuing analytics.
  • Railway, BHEL and contractor staff who already compile maintenance or production reports.
  • Hospital, bank and government-office employees seeking a move into analysis.
  • Clerks and data-entry staff in Bundelkhand offices whose reporting has so far stopped at spreadsheets and who now want databases, scripting and dashboards.

Upcoming Data Analytics Course Batches in Jhansi

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.

DateTimeTrainerSeats Left
19 Oct02:00 PM – 03:00 PMMr. Upendra02 Seats
02 Nov10:30 AM – 11:30 AMMs. Rachna01 Seat
09 Nov12:00 PM – 01:00 PMMr. Abhi02 Seats
16 Nov07:30 PM – 08:30 PMMr. Rahul01 Seat

Seats are limited and updated daily. All timings are in IST.

Data Analytics Course Syllabus & Curriculum in Jhansi

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 1: Excel for Data Analytics — 12 Hours

  • Advanced formulas: VLOOKUP, XLOOKUP, INDEX-MATCH, SUMIFS, COUNTIFS, nested IF
  • Data cleaning: text functions, Find & Replace, Flash Fill, removing duplicates
  • Pivot Tables, PivotCharts, Slicers and Timelines
  • Power Query for importing and transforming data
  • Data validation, conditional formatting and dashboard design
  • Charts: histogram, Pareto, combo, waterfall

Module 2: SQL & Database Management — 18 Hours

  • Relational database concepts, ER diagrams, normalisation
  • SELECT, WHERE, ORDER BY, GROUP BY, HAVING
  • All join types: inner, left, right, full outer, self, cross
  • Subqueries and Common Table Expressions
  • Window functions: ROW_NUMBER, RANK, LEAD, LAG
  • Connecting SQL databases to Python

Module 3: Python for Data Analytics — 20 Hours

  • Python fundamentals: variables, data types, loops, functions
  • Lists, tuples, dictionaries, sets, file operations
  • NumPy: arrays, vectorised operations, broadcasting
  • Pandas: Series, DataFrames, indexing, filtering, merging, grouping
  • Handling missing values and duplicates
  • Matplotlib, Seaborn and Jupyter Notebook

Module 4: Statistics & Business Mathematics — 12 Hours

  • Descriptive statistics: mean, median, variance, standard deviation
  • Probability fundamentals and data distributions
  • Sampling methods and the Central Limit Theorem
  • Hypothesis testing: p-values, confidence intervals, t-tests, chi-square, ANOVA
  • Correlation and regression basics
  • A/B testing in a business context

Module 5: Data Cleaning & Exploratory Data Analysis — 12 Hours

  • Data quality assessment and profiling
  • Handling missing values: deletion, imputation, flagging
  • Outlier detection and treatment
  • Feature creation and binning
  • Univariate, bivariate and multivariate analysis
  • Correlation heatmaps and structuring an EDA report

Module 6: Power BI — 18 Hours

  • Connecting to Excel, SQL, CSV and web sources
  • Power Query Editor, data modelling and relationships
  • DAX: calculated columns, measures, time intelligence
  • Visual types, filters, slicers, bookmarks and drill-through
  • Publishing to Power BI Service and scheduling refresh
  • Row-level security basics

Module 7: Tableau — 10 Hours

  • Tableau architecture, data connection and blending
  • Dimensions, measures and calculated fields
  • Filters, groups, sets and hierarchies
  • Parameters and dynamic controls
  • Reference lines, trend lines and forecasting
  • Dashboards, actions and stories

Module 8: AI & Gen AI for Data Analysts — 8 Hours

  • Prompt engineering for data tasks
  • Generating and debugging SQL and Python with AI assistance
  • Copilot in Excel and Power BI
  • AI-assisted insight summaries and report drafting
  • Verifying AI output: hallucinations, wrong aggregations, false confidence
  • Data privacy and what should never be pasted into a public AI tool

Module 9: Capstone Projects & Career Preparation — 10 Hours

  • End-to-end capstone project on a real business dataset
  • Building a GitHub portfolio and dashboard showcase
  • Analyst resume writing and LinkedIn optimisation
  • SQL and case-study interview practice
  • Mock interviews with feedback
ModuleTopicHoursTools
1Excel for Data Analytics12Excel, Power Query
2SQL & Database Management18MySQL
3Python for Data Analytics20Python, Pandas, NumPy
4Statistics & Business Mathematics12Excel, Python
5Data Cleaning & EDA12Python, Pandas
6Power BI18Power BI Desktop
7Tableau10Tableau Public
8AI & Gen AI for Analysts8ChatGPT, Copilot
9Capstone & Career Prep10All tools
Total120 Hours10+ tools
IK
Curriculum Reviewed by

Irshad Khan — Senior Trainer, 8+ Years Experience. Specialization: Data Science, Data Analytics, Business Analyst, SQL, Power BI, Python, Generative AI, Agentic AI.

Get Your Data Analytics Certification In Jhansi

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.

Key Benefits of Our Data Analytics Certification:

  • Program Completion: Formally records completion of the full program.
  • Online Verification: Its reference permits online authentication.
  • Practical Learning: Substantiated by graded deliverables and a capstone.

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
Sample Uncodemy Certificate of Training, marked not for use
Uncodemy Certificate of Training (sample)
NSDC Certificate of Partnership issued to Uncodemy
NSDC Certificate of Partnership
IIBA Endorsed Education Provider certificate issued to Uncodemy
IIBA Endorsed Education Provider

Tools and Technologies Covered

  • Excel
  • Tableau
  • Power BI
  • NumPy
  • Python
  • Pandas
  • SQL
  • Statistics
  • ChatGPT
  • Copilot

Introducing Uncodemy

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.

Other courses for Jhansi learners

Should a neighbouring field appeal more, Bundelkhand candidates may enrol in Uncodemy's live online tracks in AI, ML, Data Science or Business Analysis.

Enroll in Our Data Analytics Training in Jhansi Today!

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.

Data Analyst Jobs and Career Scope in Jhansi & Bundelkhand

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.

Job Roles After This Course

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.

RoleCore Tools
Data AnalystSQL, Excel, Python, Power BI
Business AnalystSQL, Excel, BI tools
MIS Executive / AnalystExcel, SQL, Power BI
Business Intelligence AnalystPower BI, Tableau, SQL, DAX
Marketing / Product AnalystSQL, Python, BI tools
Operations AnalystExcel, 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.

Data Analyst Salary in Jhansi — Experience-wise

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 / RoleIndicative 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.

Top Hiring Sectors for Data Analysts in Jhansi & Bundelkhand

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:

  1. Railways and heavy engineering — maintenance, punctuality, inventory and production analytics

  2. Defence-corridor manufacturing — quality, supply chain and output reporting as units establish

  3. Healthcare — patient flow, pharmacy stock and diagnostic reporting

  4. Agri-finance and microfinance — credit, recovery and seasonal-risk analysis

  5. 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.

How to Become a Data Analyst — Step by Step

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.

  1. 1

    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.

  2. 2

    Querying discipline — practise SQL joins across maintenance, inventory or patient tables, grouped totals, nested subqueries and window functions such as LAG and RANK.

  3. 3

    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.

  4. 4

    Statistical rigour — study distributions, confidence intervals, hypothesis tests and regression output, so conclusions withstand an engineer's scrutiny.

  5. 5

    Dashboard delivery — carry Power BI (with DAX) or Tableau (with calculated fields) through to a report that a divisional officer can explore unaided.

  6. 6

    A Bundelkhand portfolio — three to five projects, perhaps component-failure intervals or rainfall versus crop-loan recovery, each concluding with a recommendation.

  7. 7

    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.

How This Course Compares to Other Data Analytics Courses in Jhansi

Candidates in Jhansi will encounter analytics courses at very different price points. The summary below specifies precisely what this program provides.

FactorThis Program
Duration6–7 months
Learning hours120+ hours
Tools covered10+ tools
Gen AI moduleDedicated 8-hour module
Projects5 guided + 1 capstone
Career supportResume, 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.

Online vs Offline vs Hybrid — Which Should You Choose?

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.

Is this course right for you?

If you want...Recommend
Only Excel + Power BI basicsA shorter course may be sufficient
Full analyst career transitionThis program
Heavy ML/Data ScienceChoose Data Science
Business-focused analyticsConsider Business Analytics
Self-paced learningRecorded course

Instructors for the Data Analytics Course in Jhansi

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.

Mr. Irshad Khan

Mr. Irshad Khan

Data Analytics & AI Trainer

Expertise
PythonSQLMachine LearningTableauArtificial IntelligenceDeep LearningPower BIMLOps

About

8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.

Live projects

Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.

Mr. Syed Najeeb

Mr. Syed Najeeb

Data Analytics & AI Trainer

Expertise
PythonMLDLNLPPower BITableauSPSSSASMS-ExcelSQLHTMLCSS

About

7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.

Live projects

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.

Mr. Kunal Arora

Mr. Kunal Arora

Data Analytics Trainer

Expertise
PythonSQLExcelPower BITableauMLDLNLPTime SeriesIoT DevicesPrompt EngineeringChatbots

About

5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.

Live projects

Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.

Ms. Rachna Verma

Ms. Rachna Verma

Data Analytics Trainer

Expertise
Advanced ExcelSQLPower BITableauPythonData VisualisationStatistics

About

Trainer 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.

Live projects

Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.

Mr. Abhi

Mr. Abhi

Data Analytics Trainer

Expertise
PythonSQLPower BIExcelTableau

About

3+ 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.

Live projects

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.

Mr. Rahul

Mr. Rahul

Data Analytics Trainer

Expertise
SQLAdvanced ExcelPower BIPythonTableau

About

14+ 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.

Live projects

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.

Mr. Anshul

Mr. Anshul

Data Analytics Trainer

Expertise
PythonSQLExcelPower BIData Visualization

About

5+ 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.

Live projects

Credit risk management analytics at Tech Mahindra, business communications analytics, and chatbot solutions built with prompt engineering and machine learning.

Mr. Upendra Kumar Tiwari

Mr. Upendra Kumar Tiwari

Senior Data Science Trainer

Expertise
Data ScienceData AnalyticsMachine Learning

About

15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.

Live projects

Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.

Dr. Vijay K. Gupta

Dr. Vijay K. Gupta

MD & CEO

Expertise
EdTech LeadershipEducation & TrainingResearch & Mentorship

About

Founder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.

Live projects

Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.

Gangesh Kumar Gaunr

Gangesh Kumar Gaunr

CEO & Founder

Expertise
Technology StrategyCloud & AI SolutionsEdTech Leadership

About

CEO & 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.

Live projects

Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.

Frequently Asked Questions

What is the duration of the Data Analytics course in Jhansi?

Six to seven months — over 75 live online sessions, 120-plus hours, weekday or weekend batches compatible with railway rosters.

Can I learn data analytics without a coding background?

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.

What tools are covered in this course?

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.

Does the course include a Gen AI module?

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.

How many projects will I complete?

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.

Are the classes live or pre-recorded?

Entirely live: trainers conduct each of the 75-plus sessions in real time and recordings follow for revision; one syllabus governs every format.

What is the fee for the Data Analytics course in Jhansi?

₹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.

Are EMI options available?

Monthly instalments begin at ₹4,032, with tenure and approval determined by the financing partner and arranged by a counsellor.

Is there a demo class before I enrol?

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.

Do you provide placement assistance?

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.

Can a fresher get a data analyst job after this course?

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.

What is the salary of a data analyst in Jhansi?

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.

What job roles can I apply for after this course?

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.

Who is eligible for this Data Analytics course?

Any graduate is eligible, irrespective of discipline and without prior coding or analytics experience.

Are the salary, placement and review figures on this page guaranteed?

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.

Is classroom training available in Jhansi?

Bundelkhand has no Uncodemy classroom; Jhansi candidates join the same batches online. The Delhi centre stands in Shakarpur Extension near Nirman Vihar Metro.

Which companies hire Uncodemy learners?

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.

Student Project For Data Analytics

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.

UncodemyDATA ANALYTICS

Sales Analysis Dashboard

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.

PythonExcelPower BISQL
Ms. Rachna VermaMs. Rachna VermaData Analytics Trainer
Sagar Bajirao ShembadeSagar Bajirao ShembadeData Analyst
UncodemyDATA ANALYST

Music Store Analysis

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.

Power BIDAXCSVGitHub
Dr. Vijay K. GuptaDr. Vijay K. GuptaMD & CEO
Ankit SinghAnkit SinghData Analyst
UncodemyDATA ANALYTICS

Covid 19 Pandemic Analysis

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.

PythonPandasJupyter NotebookGitHub
Mr. Upendra Kumar TiwariMr. Upendra Kumar TiwariSenior Data Science Trainer
Shruti SaxenaShruti SaxenaData Analyst
UncodemyDATA ANALYTICS

Company Insights 360°

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.

PythonSQLPower BIDAX
Ms. Rachna VermaMs. Rachna VermaData Analytics Trainer
Rajat KashyapRajat KashyapData Analyst
UncodemyDATA ANALYTICS

IPL Analysis Dashboard

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.

PythonJupyter NotebookPower BISQL
Mr. Upendra Kumar TiwariMr. Upendra Kumar TiwariSenior Data Science Trainer
Pawan MehraPawan MehraData Analyst

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