4.8 LPAHyderabadAnkit Singh
Data Analyst
- Placed at
- FINELABS
- Program
- Data Analytics Batch
- Batch
- DA/09/0823/S WD 7PM
Data Analytics Course in Ayodhya with Gen AI & Placement Assistance
Since the Ram Mandir opened, Ayodhya has turned into one of India's busiest pilgrimage cities almost overnight. A new international airport, a rebuilt railway station, wider roads, hundreds of new hotels and homestays and a flood of retail and transport businesses have arrived — and all of them run on bookings, footfall, inventory and payment data. Uncodemy's Data Analytics Course lets Ayodhya's young people build the skills this boom needs, through 6–7 months of live online classes in Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI.
Uncodemy's physical classrooms remain in Delhi and Noida; the Delhi centre stands in Shakarpur Extension next to DSEU Ambedkar College, a stroll from the Nirman Vihar and Laxmi Nagar Metro Stations. Ayodhya learners take part in those batches live online and receive 120-plus hours of learning, more than 75 trainer-led classes, practical projects and a placement mentor. You pay ₹17,500 plus 18% GST — ₹20,650 overall.
Why Choose Uncodemy?
14+Years of Training Excellence
850+Companies in Our Hiring Network
54,000+Learners Trained
200+Corporate Associations
Program Details
Data Analytics with Gen AI — Instructor-Led Training & Career Support Program
Ayodhya learners spend six to seven months on live online classes in Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI, practising on hospitality, transport and retail data drawn from a fast-growing pilgrimage economy, with mentor guidance and a final interview sprint.
- 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 Ayodhya — 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
By the end, learners can take a hotel booking export, a taxi operator's trip log or a shop's billing file and turn it into a clean, analysed, convincing story with the course tools. Eligible learners then apply for analyst openings after career prep; a few outcomes from our records appear below.
4.8 LPAHyderabad
4.8 LPAIndiaAshish Butola
Data Analyst
- Placed at
- Allsoft Solutions
- Program
- Data Analytics Batch
- Batch
- DS/12/0823/IR WE 12 PM
4.0 LPADelhiRajat Kashyap
Data Analyst
- Placed at
- Hexalog
- Program
- Data Analytics Batch
- Batch
- DS/DA Weekend July Batch 10 AM
3.25 LPAPuneSagar B. Shembade
Data Analyst
- Placed at
- SmartStudy
- Program
- Data Analytics Batch
- Batch
- DA/WD/S 08:00 PM 08 JAN-UC
3.0 LPANoidaPriyanka Kumari
Data Analyst
- Placed at
- CloudFirst Digital
- Program
- Data Analytics Batch
- Batch
- DS/DA Weekend July Batch 10 AM
3.0 LPADelhiShruti Saxena
Data Analyst
- Placed at
- Jepius Healthcare
- Program
- Data Analytics Batch
- Batch
- DS/DA/09/UP WD 12:30 PM
Location badges show where each learner was placed. Ayodhya 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?
When lakhs of devotees arrive for Ram Navami, Deepotsav or the Panchkosi parikrama, a hotel needs to know how many rooms to hold back for walk-ins, a bus operator how many extra trips to schedule from Lucknow and Gorakhpur, and a sweet shop how much prasad to prepare. Data analytics answers those questions. Past records are cleaned, patterns are tested with statistics, and the results are drawn as clear charts, so owners plan with confidence instead of guesswork. Hospitals, banks, colleges and civic bodies use exactly the same method to understand people, track performance and prepare for the next peak.
What does a data analyst do?
A working analyst in Ayodhya pulls booking, sales or trip data with SQL, fixes duplicate and missing entries, and compares festival weeks with ordinary weeks in Excel or Python. Then comes a Power BI or Tableau dashboard and, most importantly, a conversation with the hotel manager, transport owner, accountant or district team about what to change before the next rush — more staff, different prices, earlier stock orders.
Data Analytics vs Data Science vs Business Analytics
Think of a hotel near Ram Path. Analytics explains why occupancy spiked and dipped last year; data science forecasts demand for the next Deepotsav; business analytics recommends room rates, staffing and advance-booking policy.
| 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 salaries in the table are rough brackets from the referenced sources; offers in Ayodhya or elsewhere rise and fall with company, title, ability, experience and hiring season.
Course Overview
Expect 6–7 months, more than 75 live lectures and 120-plus learning hours. Spreadsheets and SQL come first because every hotel desk and shop counter already uses them; Python, statistics, cleaning and exploratory analysis follow; Power BI, Tableau and Generative AI complete the course. Booking, footfall and retail datasets appear throughout, each phase ends in a guided build, and your capstone leads the portfolio.
Who should join this course:
- Ayodhya learners who want to grow with the city's boom rather than migrate for work.
- Graduates of Dr. Ram Manohar Lohia Avadh University and local colleges — any stream — seeking an analytics career.
- Staff at hotels, dharamshalas, travel agencies, taxi and bus operators or retail outlets who already keep registers and spreadsheets.
- Family members running new homestays or shops who want to manage them with data.
- Front-office and billing staff whose day revolves around booking sheets and cash registers, and who now want queries, scripts and dashboards.
Eligibility: A completed bachelor's degree, any stream, is the requirement (the eligibility criteria page lists specifics). Programming is taught from absolute zero. School maths is enough to begin — the statistics unit builds the rest. Keep a laptop with at least 8GB RAM and dependable internet for lab work.
Upcoming Data Analytics Course Batches in Ayodhya
Ayodhya learners can pick weekday or weekend live batches, arranged so that hotel shifts, festival seasons and college classes don't clash. A free online demo class is available before you commit.
| 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.
Data Analytics Course Syllabus & Curriculum in Ayodhya
Nine modules over 120-plus hours follow the life of a real analytics task — gathering data, cleaning it, analysing it, interpreting it, visualising it and presenting it. A graded practical on genuine data closes each module, and module nine turns your best work into a 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
Module · Topic · Hours · Tools
| 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 |
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 Ayodhya
Ayodhya learners who complete the nine modules, every assignment and the capstone receive the Uncodemy Data Analytics Program Certificate, listing the program name, duration, tools covered and completion date with a verification reference. It's issued only once coursework and assessments are finished.
A hotel chain's HR desk will usually ask what you've built. Your answer is a folder of graded spreadsheet, SQL, Python, statistics, BI and Gen AI assignments, plus a capstone you scoped and delivered on your own.
Key Benefits of Our Data Analytics Certification:
- Program Completion: Shows you completed every stage of the course.
- Online Verification: Recruiters can check its reference online.
- Practical Learning: Backed by marked assignments and your own capstone.
Hotel groups and other employers can authenticate an Ayodhya learner's credential through Uncodemy's online portal whenever they need to.
Uncodemy Certificate Verification — Online Certificate Verification & Download: certificate.uncodemy.com
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Tools and Technologies Covered
- Excel
- Tableau
- Power BI
- NumPy
- Python
- Pandas
- SQL
- Statistics
- ChatGPT
- Copilot
Introducing Uncodemy
Uncodemy, operated by Uncodemy Edutech Pvt. Ltd., judges every course by whether it makes learners employable. Rooms in Delhi and Noida host classroom groups, while live online groups bring identical lessons to Ayodhya and the rest of the country. Learners range from first-timers and graduates to working staff and new entrepreneurs.
Across the course, Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI are applied to authentic datasets in project form. You rehearse what a revenue manager, operations analyst or MIS executive actually does — tracking numbers, maintaining dashboards, drafting reports and backing decisions — so a role at a hotel group or travel company feels natural from week one. The syllabus can be read module by module before you join.
Lectures sit on top of mentor hours, graded practice, project reviews, interview rehearsal and job alerts. Before any payment you'll receive the career support policy in writing, listing exactly what help is offered, where it ends and who is eligible.
Other courses for Ayodhya learners
Drawn to a related subject? From Ayodhya you can just as easily enrol in Uncodemy's live online AI, ML, Data Science or Business Analysis courses.
Enroll in Our Data Analytics Training in Ayodhya Today!
Start from Ayodhya — join live classes, practise on hospitality and retail data, build your portfolio and be ready for the analyst roles the city's growth is creating.
Data Analyst Jobs and Career Scope in Ayodhya
Ayodhya's transformation has created entirely new categories of work. Hotels and homestays — many opened in the last two years — juggle online bookings, dynamic pricing and festival surges. Travel agencies, e-rickshaw fleets, taxi and bus operators manage trip and fuel records. Restaurants, prasad and souvenir shops and new retail outlets track inventory and sales, while the airport and railway station bring logistics and passenger-flow data.
Public bodies are equally data-hungry: crowd management, sanitation, parking and civic services for millions of visitors depend on dashboards and MIS. Banks and payment providers have expanded rapidly to serve new businesses, and real-estate development is accelerating.
Many Ayodhya learners also apply to Lucknow, NCR and remote roles, especially in hospitality and travel tech. In every case SQL and a BI tool are assumed; the people who get hired can frame the business question, pick the right metric and explain their recommendation clearly to a busy owner.
Job Roles After This Course
Graduates typically chase Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst openings. One hotel wants to know how to price rooms for Ram Navami, a bus operator wants to cut empty seats and the municipal team wants crowd-flow dashboards; each answer travels through 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 |
Ayodhya freshers usually start as Data, MIS or Business Analysts and, within two to four years, move into BI, product, revenue-management, marketing or operations analytics. Growth comes from owning complete analyses and learning the hospitality and travel vocabulary, not from collecting certificates.
Data Analyst Salary in Ayodhya — Experience-wise
What you earn depends on experience, industry and how good you genuinely are with SQL and BI, and salaries for one title can differ a lot. Profiles limited to arranging charts usually begin at the lower end; those who can also query efficiently, untangle a vague brief and argue for a specific decision begin higher and get promoted sooner.
| 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.
Local Ayodhya businesses often start below Lucknow or NCR packages, while hotel chains, travel-tech companies and remote employers usually pay more within each band. Every range is indicative and depends on role, skills, experience, location, employer and market. Uncodemy guarantees no salary or job.
Top Hiring Sectors for Data Analysts in Ayodhya
Uncodemy's hiring network spans more than 850 companies across India. For Ayodhya learners, analyst work is concentrated in:
Hotels, homestays and hospitality — occupancy, pricing, booking-channel and festival-surge analytics
Travel and transport — trip, fleet, fuel and passenger-flow reporting
Retail, food and souvenir trade — inventory, sales and seasonal demand
Civic services, banking and real estate — crowd dashboards, digital payments and project tracking
Lucknow, NCR and remote roles — hospitality-tech and analytics jobs beyond the city
Hotels, transport firms and public bodies test different strengths, so choose your direction early and point your portfolio at it.
How to Become a Data Analyst — Step by Step
Analytics skills are learned in order, each one built on the last. Skip a step and it usually shows in a technical interview or in your first busy season on the job.
- 1
Excel — XLOOKUP, pivots and Power Query until a date-wise booking or day-wise sales summary takes minutes.
- 2
SQL — joins, grouped totals, subqueries and window functions; most interviews start right here.
- 3
Python — Pandas and NumPy for large booking or trip logs, plus scripts that rebuild weekly reports.
- 4
Statistics — sampling, significance tests and regression, so your festival forecasts are taken seriously.
- 5
A dashboard that survives a busy manager — Power BI (DAX) or Tableau (calculated fields), refined until the front-office head can use it on a festival morning without calling you.
- 6
Portfolio — three to five projects, such as Deepotsav occupancy or e-rickshaw trip patterns, each ending in a recommendation.
- 7
Market yourself — practise SQL under a timer, talk through mock business cases, and rewrite your CV and LinkedIn so each project states what improved.
Give yourself roughly half a year of regular evening practice; even during Deepotsav or Ram Navami rush, a short daily session keeps momentum.
How This Course Compares to Other Data Analytics Courses in Ayodhya
New courses are popping up as fast as new hotels, at every price. Here's a straight list of what Uncodemy's program includes.
| 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 |
It's longer and broader because employers expect freshers to move from Excel to SQL to Python to a dashboard within one task. Recorded self-paced courses cost less; a homestay owner who only wants better Excel and Power BI reports might choose one.
Online vs Offline vs Hybrid — Which Should You Choose?
Syllabus, trainers, projects and fee are the same in every format. From Ayodhya, live online learning is the sensible choice — real-time classes from home and instant doubt-solving, with timings that work around hotel shifts or college.
The nearest Uncodemy rooms are some 650 km west in Noida and Delhi's Shakarpur area, so hybrid study seldom makes sense from Avadh. Remote learners keep every entitlement — live lectures, recordings, doubt clinics, the complete placement programme — and a sanctioned format change carries progress across.
Is this course right for you?
| 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 |
Instructors for the Data Analytics Course in Ayodhya
Who you will learn from in Ayodhya. Live sessions for Ayodhya 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 Ayodhya often work with pilgrimage tourism and hotels, real estate and civic projects and retail and food trade 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.
Ms. Rachna Verma
Data Analytics Trainer
ExpertiseAdvanced 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
Data Analytics Trainer
ExpertisePythonSQLPower 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
Data Analytics Trainer
ExpertiseSQLAdvanced 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
Data Analytics Trainer
ExpertisePythonSQLExcelPower 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
Senior Data Science Trainer
ExpertiseData 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.
Mr. Irshad Khan
Data Analytics & AI Trainer
ExpertisePythonSQLMachine 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
Data Analytics & AI Trainer
ExpertisePythonMLDLNLPPower 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
Data Analytics Trainer
ExpertisePythonSQLExcelPower 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.
Dr. Vijay K. Gupta
MD & CEO
ExpertiseEdTech 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
CEO & Founder
ExpertiseTechnology 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 Ayodhya?
Six to seven months: 75-plus live online classes, 120-plus hours, and a choice of weekday or weekend batches that work around Ayodhya's festival calendar.
Can I learn data analytics without a coding background?
Not at all a problem. Most Ayodhya learners have never coded; SQL starts at a single SELECT, Python at variables, and the first two months are mainly Excel and SQL.
What tools are covered in this course?
More than ten: SQL, Python, Pandas, NumPy and Statistics to analyse; Excel, Power BI and Tableau to report; ChatGPT and Copilot to work faster.
Does the course include a Gen AI module?
Module 8 gives eight hours to AI — prompting for data questions, checking AI-made SQL and Python, using Copilot in Excel and Power BI, and catching wrong numbers.
How many projects will I complete?
Half a dozen pieces: guided builds on retail, banking, HR, e-commerce and hospital data, plus a capstone you pick. A festival-occupancy or pilgrim-footfall study would make Ayodhya interviewers lean in.
Are the classes live or pre-recorded?
All live — 75-plus classes taught in real time, recordings afterwards, one syllabus for every format.
What is the fee for the Data Analytics course in Ayodhya?
From Ayodhya the total is ₹20,650 — a ₹17,500 fee with 18% GST on top — covering lectures, notes, project reviews, the certificate and placement support. Monthly instalments begin at ₹4,032.
Are EMI options available?
EMI starts at ₹4,032 monthly; a counsellor sorts out tenure and approval with the financing partner.
Is there a demo class before I enrol?
A free trial lecture can be reserved from Ayodhya; sit in, question the trainer and skim the module list before deciding anything.
Do you provide placement assistance?
You'll get CV and LinkedIn polishing, portfolio review, mock interviews and openings from 850-plus companies. Employers choose whom to hire, so no job is guaranteed.
Can a fresher get a data analyst job after this course?
Yes — hotel chains, homestay aggregators, transport operators, banks and work-from-home analytics teams recruit freshers who can prove SQL, a dashboard tool and finished projects. First offers usually hover around ₹3–6 LPA.
What is the salary of a data analyst in Ayodhya?
Roughly ₹3–6 LPA to start, ₹6–10 LPA mid-level, ₹10–15 LPA senior. Ayodhya roles may pay less than Lucknow, NCR or remote ones; no figure is guaranteed.
What job roles can I apply for after this course?
Expect a first title of Data, MIS or Business Analyst; later, Ayodhya alumni can move into revenue management, BI development, marketing or product analytics and operations roles.
Who is eligible for this Data Analytics course?
Holding a degree in any subject is the only condition; no programming or analytics background is assumed, and batches mix students, hotel staff and new business owners.
Are the salary, placement and review figures on this page guaranteed?
They're indicative, drawn from Uncodemy's records and public reviews; outcomes and EMI approval differ for each person.
Is classroom training available in Ayodhya?
Avadh has no Uncodemy classroom; in-person teaching happens only in Delhi and Noida, so Ayodhya learners follow identical batches online. In the capital, the Shakarpur Extension office is a short walk from Nirman Vihar Metro.
Which companies hire Uncodemy learners?
850-plus companies including upGrad, HSBC, Genpact, Fiserv and Clarivate; alumni include Business Analysts at HSBC and Fiserv, a Genpact Process Developer Analyst and a Clarivate Intellectual Property Analyst.
Student Project For Data Analytics
Real projects from past batches — open the code on GitHub, see who mentored it, then try the Ayodhya version on each card using data from Ayodhya.
UncodemyDATA ANALYTICSSales Analysis Dashboard
You'll clean a retailer's sales tables in SQL Server and design a Power BI page where revenue can be sliced by region, month and category, each chart answering a stated requirement.
Ayodhya version: Run the same SQL Server + Power BI pipeline on pilgrimage tourism and hotels sales from Ayodhya and compare months, products and outlets.
Python
Excel
Power BI
SQL
Ms. Rachna VermaData Analytics Trainer
Sagar Bajirao ShembadeData AnalystUncodemyDATA ANALYSTMusic Store Analysis
You'll build an online music store's PostgreSQL database in PgAdmin4 from a schema sketch and query it for top genres, regular buyers and growth areas.
Ayodhya version: Model a retail and food trade catalogue the same way and rank items, customers and areas of Ayodhya by revenue.
Power BI
DAX
CSV
GitHub
Dr. Vijay K. GuptaMD & CEO
Ankit SinghData AnalystUncodemyDATA ANALYTICSCovid 19 Pandemic Analysis
Python | Pandas | Jupyter Notebook | GitHub | Mr. Upendra Kumar Tiwari – Senior Data Science Trainer | Shruti Saxena – Data Analyst
Ayodhya version: Clean and chart public health or footfall data for Ayodhya with the same Pandas and Matplotlib workflow.
Python
Pandas
Jupyter NotebookGitHub
Mr. Upendra Kumar TiwariSenior Data Science Trainer
Shruti SaxenaData AnalystUncodemyDATA ANALYTICSCompany Insights 360°
You'll connect Python, SQL and Power BI to produce a monthly staff, revenue and productivity report for an imaginary hotel group.
Ayodhya version: Build a scorecard of real estate and civic projects employers around Ayodhya — size, hiring trend and pay bands — with SQL and DAX.
PythonSQLPower BIDAXMs. Rachna VermaData Analytics Trainer
Rajat KashyapData AnalystUncodemyDATA ANALYTICSIPL Analysis Dashboard
Python | Jupyter Notebook | Power BI | SQL | Mr. Upendra Kumar Tiwari – Senior Data Science Trainer | Pawan Mehra – Data Analyst
Ayodhya version: Swap IPL data for pilgrimage tourism and hotels seasonality in Ayodhya and show peaks, slumps and outliers in one dashboard.
PythonJupyter NotebookPower BISQLMr. Upendra Kumar TiwariSenior Data Science Trainer
Pawan MehraData AnalystWhy Trust This Page? Discover Why Students Choose Uncodemy
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