4.8 LPAHyderabadAnkit Singh
Data Analyst
- Placed at
- FINELABS
- Program
- Data Analytics Batch
- Batch
- DA/09/0823/S WD 7PM
Data Analytics Course in Mathura with Gen AI & Placement Assistance
Mathura and Vrindavan draw crores of pilgrims, the Mathura refinery processes millions of tonnes of crude, and Braj's dairies and sweet-makers feed half of western UP. All three run on numbers. Uncodemy's Data Analytics Course gives Braj learners the skills to work with those numbers. It's a 6–7 month live online program: a trainer teaches Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI, and you practise every tool on realistic business data.
Uncodemy's classrooms are in Delhi and Noida — nowhere else. The Delhi centre is at Shakarpur Extension, beside DSEU Ambedkar College, a short walk from the Nirman Vihar and Laxmi Nagar Metro Stations. Mathura learners join those same batches live online. Included: 120+ hours of learning, 75+ trainer sessions, real projects and a personal placement mentor. Fee: ₹17,500 + 18% GST = ₹20,650.
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
Braj learners follow a six-to-seven-month live online timetable. Excel comes first, then SQL, Python and statistics, then Power BI, Tableau and Gen AI. Practice datasets are drawn from pilgrim tourism, milk cooperatives and refinery services. A mentor checks in every few weeks, and the final stretch is dedicated to mock interviews and CV work.
- 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 Mathura — 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
Finish the course and you can take a raw ledger, footfall log or plant report and turn it into a clean, analysed, clearly presented answer. Eligible learners then apply for analyst jobs after career prep. A few logged results are 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. Mathura 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?
Data analytics is simple to describe and powerful in practice. Take raw records. Clean them. Test what they show. Chart the answer so anyone can follow it. A Vrindavan guest house can learn which weekends fill up and which sit empty; a peda maker can see which outlets sell most during Holi; a refinery contractor can find out which pumps fail most often and why. Every organisation — temple trust, dairy union, hospital or bank — can use the same method to understand people, track results, cut waste and plan the next season.
What does a data analyst do?
A week in the job looks something like this. Monday: pull last month's data with SQL. Tuesday: fix the blanks, typos and duplicate entries. Wednesday: compare months, outlets or machines in Excel or Python. Thursday: build a clean Power BI or Tableau page. Friday: sit with the owner, accountant, sales lead or plant engineer, explain what the numbers say and agree on what to do next. Being able to explain clearly is as important as getting the maths right.
Data Analytics vs Data Science vs Business Analytics
Use a temple-town hotel as the example. Analytics: why did Janmashtami bookings dip last year? Data science: how full will we be at Holi? Business analytics: what should we charge, and how many staff do we need?
AspectData Analytics
- Core question
- What happened, and why?
- Coding depth
- Low to moderate
- Typical entry salary
- ₹3–6 LPA
- Time to job-ready
- 6–7 months
Data Science
- Core question
- What will happen next?
- Coding depth
- High
- Typical entry salary
- ₹8–18 LPA
- Time to job-ready
- 9–12 months
Business Analytics
- Core question
- What should the business do?
- Coding depth
- Low
- Typical entry salary
- ₹4–7 LPA
- Time to job-ready
- 5–6 months
Figures in the salary row are approximate starting brackets from the referenced sources. Real offers shift with employer, designation, skill level, experience, city and hiring season.
Course Overview
Plan for 6–7 months, 75+ live online classes and more than 120 hours of learning. You start with Excel and SQL, the tools most Braj businesses already touch. Then come Python, statistics, data cleaning and exploratory analysis. The last phase covers Power BI, Tableau and Generative AI. Real data appears in every class, each phase ends with a guided project, and your capstone becomes the first thing you show recruiters.
Who should join this course:
- Mathura and Vrindavan learners who want live classes without commuting to Noida or Agra.
- Graduates from GLA University, local degree colleges and other institutions — any stream — looking for an analytics start.
- Staff in hotels, dharamshalas, dairies, sweet shops or refinery contractors who keep registers and spreadsheets.
- Bank, hospital and office employees aiming to move into analysis.
- MIS assistants who want SQL, Python and dashboards beyond Excel.
Eligibility: Any bachelor's degree, in any subject (full details on the eligibility criteria page). You don't need to know coding — SQL and Python are taught from the very first line. Basic comfort with numbers helps, and the statistics module rebuilds every idea it uses. Keep a laptop with 8GB RAM and a stable internet connection ready for practical classes.
Upcoming Data Analytics Course Batches in Mathura
Weekday and weekend live batches are open to Mathura learners, timed around college, shifts and festival seasons. Try a free online demo first if you like.
DateTimeTrainerSeats Left
Weekdays
- 19Oct02:00 PM – 03:00 PMMr. Upendra02 Seats
- 02Nov10:30 AM – 11:30 AMMs. Rachna01 Seat
- 09Nov12:00 PM – 01:00 PMMr. Abhi02 Seats
- 16Nov07:30 PM – 08:30 PMMr. Rahul01 Seat
Weekends
- 28Nov03:00 PM – 05:00 PMMr. Irshad02 Seats
Seats are limited and updated daily. All timings are in IST.
Data Analytics Course Syllabus & Curriculum in Mathura
Nine modules, more than 120 hours, arranged in the order real analytics work happens: collect the data, clean it, analyse it, interpret it, visualise it and present it. Every module ends with a graded practical on genuine data. The ninth module brings your strongest pieces together into a portfolio you can share with employers.
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 |
|---|---|---|---|
| 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 Mathura
Clear all nine modules, every assignment and the capstone, and you receive the Uncodemy Data Analytics Program Certificate. It lists the program, duration, tools and completion date, plus a verification reference. No certificate is issued until coursework and assessments are done.
Hiring managers in Braj and NCR rarely stop at the certificate. They ask to see work. You'll have it: marked spreadsheet, SQL, Python, statistics, BI and Gen AI assignments, plus a capstone you scoped, built and presented alone.
Key Benefits of Our Data Analytics Certification:
- Program Completion: Proves you finished the entire course.
- Online Verification: Employers check its reference online.
- Practical Learning: Backed by graded projects and your capstone.
Employers can verify a Mathura learner's certificate online, any time, on Uncodemy's official certificate portal.
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 is run by Uncodemy Edutech Pvt. Ltd. Its courses have one goal: getting learners hired. Classroom batches meet in Delhi and Noida; live online batches bring the same teaching to Mathura and the rest of India. Learners include beginners, graduates, freshers and working professionals.
Throughout the course you apply Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI to real datasets through projects. The work matches what analytics teams actually do every day — track key numbers, keep dashboards current, write reports and support decisions — so your first job feels familiar rather than strange. You can read every module of the syllabus before you join.
Classes come with live mentoring, practice tasks, projects, mock interviews and career guidance. The career support policy is shared in writing before you pay. It explains what's included, what isn't and who qualifies.
Other courses for Mathura learners
Prefer a related track? From Mathura or Vrindavan you can enrol in live online AI, ML, Data Science or Business Analysis instead.
Enroll in Our Data Analytics Training in Mathura Today!
Start from Mathura. Join live classes, practise on real data, build a portfolio and get ready for analyst roles in Braj, NCR or remote teams.
Data Analyst Jobs and Career Scope in Mathura & Braj
Mathura's data jobs come from three directions. Pilgrimage tourism in Mathura, Vrindavan, Govardhan and Barsana keeps hotels, guest houses, travel operators and temple trusts busy with booking, footfall and donation records. The Mathura refinery and the contractors, transporters and service firms around it generate maintenance, safety and logistics data. And Braj's dairy cooperatives, milk processors and famous sweet makers track procurement, production and outlet sales.
Silver-jewellery workshops, textile printing units in the industrial area, banks, hospitals and colleges add more openings, and the Yamuna Expressway puts Noida and Greater Noida within easy reach. Many learners also target NCR and remote roles. Everywhere, SQL and a BI tool are expected. The people who get hired can frame the business question, pick the right number and explain their advice simply.
Job Roles After This Course
Course graduates typically apply for Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst posts. The questions change with the employer — a Vrindavan hotel cares about room nights, a milk union about litres collected, a refinery vendor about equipment uptime — but the toolkit stays the same: SQL, Excel 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 |
Mathura freshers usually start as Data, MIS or Business Analysts. Within two to four years, many move into BI, product, marketing or operations analytics. What gets you there: owning complete analyses and learning your industry's language.
Data Analyst Salary in Mathura — Experience-wise
What you earn depends on experience, industry and real skill with SQL and BI, and two people with the same job title can be paid very differently. Profiles that stop at dashboards usually start low. Those who can also write efficient queries, break a messy problem into parts and argue for a clear course of action start higher and get promoted 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.
Local Mathura businesses usually pay less than NCR firms; remote and Noida roles often sit higher in each band. These are guides only — role, skills, experience, location, employer and market all matter. Uncodemy guarantees no salary or job.
Top Hiring Sectors for Data Analysts in Mathura & Braj
Uncodemy's hiring network has 850+ companies across India, from large firms to start-ups. For Mathura and Braj learners, analyst work is most common in:
Pilgrimage tourism and hospitality — bookings, footfall, pricing and festival-season planning
Refinery and energy services — maintenance, safety, logistics and contractor reporting
Dairy and sweets — milk procurement, production yield and outlet-wise sales
Banking, healthcare and education — collections, patient and admissions dashboards
NCR and remote roles — analytics jobs in Noida, Greater Noida and remote teams
Hotels, dairies and refinery contractors look for different strengths in interviews. Decide early which one you're aiming for, and point your portfolio projects in that direction.
How to Become a Data Analyst — Step by Step
Analyst skills come in a fixed order, and each one leans on the one before. Skip a step and it usually shows up at the worst moment — in a technical interview or during your first month at work — because employers test what you can actually do, not what you've read.
- 1
Excel. XLOOKUP, pivots, Power Query. Monthly bookings or outlet sales summarised in minutes.
- 2
SQL. Joins, GROUP BY, subqueries, window functions. Almost every interview starts here.
- 3
Python. Pandas and NumPy for big files. Scripts that rebuild your weekly report.
- 4
Statistics. Sampling, significance tests, regression. So your conclusions hold up.
- 5
A dashboard you'd hand to the owner. Pick Power BI (with DAX) or Tableau (with calculated fields) and keep polishing until it runs without you.
- 6
Portfolio. Three to five projects — festival occupancy, dairy yield — each ending in a recommendation.
- 7
Applications. Timed SQL practice, mock cases, and a CV and LinkedIn that show results.
Most Mathura learners need around six to seven months of steady practice before interviews feel comfortable. An hour a day, kept up through festival seasons and exams, beats a long session once a week.
How This Course Compares to Other Data Analytics Courses in Mathura
Analytics courses come at every price, from cheap weekend classes to expensive bootcamps. Here is exactly 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 |
Why six to seven months? Because freshers now get tasks that start in Excel, need SQL halfway through, may need Python to automate and end on a dashboard for the boss. Recorded self-paced courses are cheaper. If you only want to tidy up your Excel and Power BI for a shop or hotel desk, one of those may serve you better.
Online vs Offline vs Hybrid — Which Should You Choose?
Same syllabus, trainers, projects and fee in every format. From Mathura, live online is the easy choice: real-time classes from home, doubts solved on the spot, timings around work or college.
Classrooms are only in Noida and Delhi (Shakarpur). The Yamuna Expressway makes Noida reachable, so some Braj learners mix in occasional classroom days. Online learners get the same teaching, recordings, doubt support and placement help, and a permitted switch keeps your progress.
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 Mathura
Faculty behind the Mathura batches. Mathura learners are taught in real time by trainers who also teach in our Delhi and Noida classrooms — same faculty, same syllabus, delivered live online. Senior Trainer Irshad Khan heads the Data Analytics track and signed off its curriculum.
Uncodemy keeps teaching and checking separate: domain reviewer Upendra Kumar Tiwari verifies the content without teaching the batch. In doubt-clearing sessions, trainers often rework examples around refinery and energy services and dairy and sweets — the kind of data employers in Mathura & Braj actually hold.
All trainers and reviewers are published on the Uncodemy trainers page with their domain and experience.
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.
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.
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 Mathura?
Six to seven months. That's 75+ live online classes and 120+ hours. Mathura learners choose weekday or weekend batches.
Can I learn data analytics without a coding background?
Yes. Many Braj learners start with zero coding. SQL begins with one SELECT line. Python begins with variables. Months one and two are mostly Excel and SQL.
What tools are covered in this course?
Ten-plus. Data: SQL, Python, Pandas, NumPy. Reasoning: Statistics. Reports: Excel, Power BI, Tableau. AI: ChatGPT, Copilot.
Does the course include a Gen AI module?
Yes. Module 8, eight hours: prompts for data tasks, checking AI-written SQL and Python, Copilot in Excel and Power BI, spotting wrong AI numbers.
How many projects will I complete?
Six. Five guided (retail, banking, HR, e-commerce, healthcare) plus a capstone you choose. Festival-season hotel data or dairy sales would suit Mathura employers.
Are the classes live or pre-recorded?
Live. All 75+ classes are taught in real time. Recordings follow for revision. One syllabus for every format.
What is the fee for the Data Analytics course in Mathura?
₹20,650 total: ₹17,500 plus 18% GST. Includes classes, materials, projects, certificate and placement help. EMI from ₹4,032 a month.
Are EMI options available?
Yes. EMI starts at ₹4,032 a month. Tenure and approval depend on the financing partner; a counsellor arranges it.
Is there a demo class before I enrol?
Yes. Book a free live demo from Mathura. Watch a trainer, ask questions, see the syllabus. Call or message us.
Do you provide placement assistance?
We do. The placement team rewrites your CV and LinkedIn, critiques your portfolio, runs mock interviews and forwards vacancies from 850-plus partner employers. The company always makes the final call, so a job can't be promised.
Can a fresher get a data analyst job after this course?
Very much so. Braj hotels, dairy processors, refinery vendors and remote analytics teams take on newcomers who can show SQL, a dashboard tool and finished projects. Opening offers usually land between ₹3 and ₹6 LPA.
What is the salary of a data analyst in Mathura?
Guide figures: freshers ₹3–6 LPA, a few years in ₹6–10 LPA, seniors ₹10–15 LPA. Jobs inside Mathura often pay below Noida or work-from-home roles. Uncodemy commits to no number.
What job roles can I apply for after this course?
The first rung is usually Data Analyst, MIS Analyst or Business Analyst. Climb further and the paths split — BI engineering, reporting leadership, product or marketing analytics, operations.
Who is eligible for this Data Analytics course?
Any graduate, any subject. No coding or analytics background needed.
Are the salary, placement and review figures on this page guaranteed?
No — think of them as signposts. They come from our placement logs and public review sites, both updated over time. Your result depends on your skills, background, location, the employer and timing; lenders decide on EMIs.
Is classroom training available in Mathura?
Not in Braj. Uncodemy teaches face to face only in Delhi and Noida. Mathura learners follow identical batches over a live link. Heading to Delhi? The Shakarpur Extension office is a few minutes' walk from Nirman Vihar Metro.
Which companies hire Uncodemy learners?
More than 850 recruiters — HSBC, Genpact, Fiserv, upGrad and Clarivate among them. Alumni on file include Business Analysts at Fiserv and HSBC, a Process Developer Analyst at Genpact and an Intellectual Property Analyst at Clarivate.
Student Project For Data Analytics
In analyst hiring, a portfolio says more than a certificate. Below are five learner capstones with their mentors and source code; the Mathura note on each card suggests how to rebuild it around pilgrimage tourism.
UncodemyDATA ANALYTICSSales Analysis Dashboard
Clean sales data in SQL Server. Build an interactive Power BI dashboard with a map, monthly trend and product drill-down, each chart tied to a requirement.
Mathura version: Run the same SQL Server + Power BI pipeline on pilgrimage tourism sales from Mathura and compare months, products and outlets.
Python
Excel
Power BI
SQL
Ms. Rachna VermaData Analytics Trainer
Sagar Bajirao ShembadeData AnalystUncodemyDATA ANALYSTMusic Store Analysis
Design a PostgreSQL database for an online music store in PgAdmin4. Query it with SQL to find top genres, loyal customers and growth areas.
Mathura version: Model a dairy and sweets catalogue the same way and rank items, customers and areas of Mathura & Braj 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
Mathura version: Clean and chart public health or footfall data for Mathura & Braj with the same Pandas and Matplotlib workflow.
Python
Pandas
Jupyter NotebookGitHub
Mr. Upendra Kumar TiwariSenior Data Science Trainer
Shruti SaxenaData AnalystUncodemyDATA ANALYTICSCompany Insights 360°
Link Python, SQL and Power BI into one report pack on staff, sales and performance for a sample company.
Mathura version: Build a scorecard of refinery and energy services employers around Mathura — size, hiring trend and pay bands — with SQL and DAX.
PythonSQLPower BIDAXMs. Rachna VermaData Analytics Trainer
Rajat KashyapData AnalystUncodemyDATA ANALYTICSIPL Analysis Dashboard
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Mathura version: Swap IPL data for pilgrimage tourism seasonality in Mathura and show peaks, slumps and outliers in one dashboard.
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