4.8 LPAHyderabadAnkit Singh
Data Analyst
- Placed at
- FINELABS
- Program
- Data Analytics Batch
- Batch
- DA/09/0823/S WD 7PM
Data Analytics Course in Patiala with Gen AI & Placement Assistance
At the National Institute of Sports in Patiala's Old Moti Bagh Palace, coaches don't guess. They log every sprint split, every lift, every heartbeat, and they adjust a training block only after the numbers say so. India's Olympians have been shaped by that habit of measured improvement — and it is exactly the habit a data analyst brings to business. Patiala gives plenty to measure: Punjabi University and Thapar Institute, Rajindra Hospital and the Government Medical College, the PSPCL power utility headquartered here, a strong government and banking workforce, the Focal Point industrial estate, grain markets of the Malwa belt and the city's famous jutti and phulkari trade. Uncodemy's Data Analytics Course trains Patiala learners in that disciplined, measured approach across 6–7 months of live online classes in Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI.
Patiala has no Uncodemy training centre. The two physical classrooms are in Noida and in Delhi's Shakarpur Extension — the latter inside a building opposite DSEU Ambedkar College, a short walk from Nirman Vihar and Laxmi Nagar Metro. Patiala learners train with those same squads online and get 120-plus learning hours, more than 75 live coached sessions, project work and a placement mentor. Fee: ₹17,500, or ₹20,650 once GST at 18% is applied.
Why Choose Uncodemy?
14+Years of Training Excellence
850+Companies in Our Hiring Network
54,000+Learners Trained
200+Corporate Associations
₹17,500 + 18% GST₹20,650
- Program Fee₹17,500 + 18% GST
- Total Fee (incl. 18% GST)₹20,650
- EMIFrom ₹4,032/month
- Mode in PatialaLive Online (classroom only at Delhi & Noida centres)
Program Details
Data Analytics with Gen AI — Instructor-Led Training & Career Support Program
Patiala learners follow a six-to-seven-month training block — Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI — in live online sessions using university, hospital, power-utility and mandi datasets; a mentor reviews your training log every week, and mock interviews serve as trials before competition.
- 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 Patiala — 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
At the end of the block, a Patiala learner can take an untidy performance log — a hospital ward's admissions, a power division's complaint register, a university department's results — and turn it into a clean, analysed and persuasive conclusion, choosing the right equipment for each drill. Interview preparation follows, after which eligible learners apply for analyst openings; examples of alumni from our records are listed.
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. Patiala 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?
A Patiala hospital administrator wants to understand why emergency admissions spike on certain days; a power-distribution circle wants to know which feeders cause the most complaints; a jutti maker on Adalat Bazaar sees wedding-season orders vanish faster than she can stitch. Like an athlete's raw splits, each one's records hold the answer but need interpreting. Data analytics measures, cleans and compares that information, tests what's significant with statistics and displays the result as a chart a decision-maker can act on.
What does a data analyst do?
An analyst in Patiala often spends a week running SQL queries on a hospital, utility or university system, removing duplicate or blank records, comparing wards, feeders or courses in Excel or Python, building a Power BI or Tableau dashboard, and briefing a manager on what the measurements show and what to change.
Data Analytics vs Data Science vs Business Analytics
Take a power-distribution circle. Data analytics explains which feeders tripped most last summer; data science predicts where faults are likely during the next heatwave; business analytics recommends where to invest in maintenance and new lines.
| 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 pay figures are rounded from the cited sources; offers in Patiala and the Malwa belt depend on employer, role, skills, experience and timing.
Course Overview
Six to seven months, 75-plus live online sessions, 120-plus hours — that's the Patiala season. Pre-season conditioning covers Excel and SQL; the build-up phase adds Python, statistics, cleaning and exploratory analysis; the competition phase sharpens Power BI, Tableau and Generative AI. Hospital, PSPCL-style utility, university and mandi data are used in every week of training, each phase closes with a guided build, and the capstone is your own final.
Who should join this course:
- Learners in Patiala, Rajpura, Sangrur, Samana, Nabha and Fatehgarh Sahib who want live teaching without relocating to Chandigarh or Delhi.
- Graduates of Punjabi University, Thapar Institute, Mohindra College, Multani Mal Modi College and other Malwa colleges — any stream.
- Staff in government offices, PSPCL circles, banks and cooperatives who already work with registers and MIS sheets.
- Hospital administrators, school and university office staff, and small manufacturers in Focal Point who want analytical roles.
- Sports-science and physical-education graduates curious about performance analytics, and anyone confident in Excel who wants SQL, Python and dashboards.
Eligibility: You need a completed graduation in any subject (see the eligibility criteria page). Coding isn't a prerequisite — SQL and Python are taught from the first session. Everyday maths is enough to start; the statistics module covers the rest. Keep a laptop with 8GB RAM and a reliable internet connection ready for practicals.
Upcoming Data Analytics Course Batches in Patiala
Patiala learners can join a weekday or weekend live batch, arranged around office hours, university timetables and hospital rosters. A free demo class online is available before enrolment.
DateTimeTrainerSeats Left
Weekdays
19 Oct
02:00 PM – 03:00 PM
Mr. Upendra02 Seats02 Nov
10:30 AM – 11:30 AM
Ms. Rachna01 Seat09 Nov
12:00 PM – 01:00 PM
Mr. Abhi02 Seats16 Nov
07:30 PM – 08:30 PM
Mr. Rahul01 SeatWeekends
28 Nov
03:00 PM – 05:00 PM
Mr. Irshad02 SeatsSeats are limited and updated daily. All timings are in IST.
Data Analytics Course Syllabus & Curriculum in Patiala
Nine modules, 120-plus hours, ordered like an NIS training cycle: fitness testing (gather data), recovery (clean), loading (analyse), video analysis (interpret), scoreboard (visualise) and coach's debrief (present). An assessed practical on real data ends every module; module nine wraps up your 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 |
|---|---|---|---|
| 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 Patiala
Clearing every module, assignment and the capstone earns a Patiala learner the Uncodemy Data Analytics Program Certificate. It names the course, how long it ran, which tools were covered, when you finished and a code that verifies it.
Selectors pick athletes on recorded performance, not on the tracksuit. Recruiters likewise judge your graded Excel, SQL, Python, statistics, BI and Gen AI work and a capstone you completed solo — the certificate is the medal that confirms the result.
Key Benefits of Our Data Analytics Certification:
- Program Completion: Logs that a Patiala learner finished the full training block.
- Online Verification: Its code can be checked by any employer on Uncodemy's portal.
- Practical Learning: Earned through assessed drills and an independent capstone.
Whether it's Rajindra Hospital, a PSPCL contractor or a Gurugram bank, any employer can authenticate a Patiala learner's certificate on Uncodemy's 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 Edutech Pvt. Ltd. runs Uncodemy, and every course it trains is aimed at one finish — employment. Classroom squads meet in Delhi and Noida; online squads in Patiala and across India take the same live sessions.
You'll apply Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI to genuine datasets, through assignments resembling the work analysts do for Patiala's hospitals, the power utility, universities and Malwa grain trade. The full syllabus is open for review before joining.
Sessions come with mentor time, marked drills, project feedback, interview rehearsals and job notifications. Before you pay, Uncodemy hands you its career support policy in writing, setting out exactly what is offered, its limits and who qualifies.
Other courses for Patiala learners
Patiala learners leaning toward AI, ML, Data Science or Business Analysis can train in those as live online Uncodemy courses.
Enroll in Our Data Analytics Training in Patiala Today!
Begin in Patiala — join live sessions, train on hospital, utility and mandi data, build a portfolio and prepare for analyst roles in Punjab, Chandigarh, Delhi NCR or remote teams.
Data Analyst Jobs and Career Scope in Patiala & the Malwa Heartland
Patiala is a major education centre. Punjabi University, Thapar Institute of Engineering and Technology, Rajiv Gandhi National University of Law and many colleges bring thousands of students and staff, while NIS Patiala is India's premier sports-training institute. Admissions, results, research and athlete-performance data are all growing areas for analytics.
The Punjab State Power Corporation Limited is headquartered in Patiala, and its distribution, generation and billing operations create large volumes of operational and customer data. Government departments, banks and cooperatives based in the city add administrative and financial reporting needs.
Rajindra Hospital, the Government Medical College and private hospitals serve the Malwa region, producing patient-flow, pharmacy and billing data. Patiala's Focal Point and nearby Rajpura host manufacturing units, and Malwa's wheat and paddy markets support procurement and trading businesses. The jutti, phulkari and textile trade gives retail and craft-commerce data too.
Chandigarh is about 70 km away and Delhi NCR roughly 250 km, while remote work broadens choices. Everywhere, SQL and a BI tool are baseline expectations; what sets candidates apart is good problem framing and a recommendation people can act on.
Job Roles After This Course
Typical first targets in Patiala: Data Analyst, Business Analyst, MIS Executive/Analyst, BI Analyst, Marketing/Product Analyst and Operations Analyst. The events differ — admission peaks for a hospital, feeder-trip maps for a power circle, enrolment funnels for a university — but the kit bag holds the same SQL, spreadsheets and one BI tool.
| Role | Core Tools |
|---|---|
| Data Analyst | SQL, Excel, Python, Power BI |
| Business Analyst | SQL, Excel, BI tools |
| MIS Executive / Analyst | Excel, SQL, Power BI |
| Business Intelligence Analyst | Power BI, Tableau, SQL, DAX |
| Marketing / Product Analyst | SQL, Python, BI tools |
| Operations Analyst | Excel, SQL, Power BI |
Malwa freshers typically start as Data, MIS or Business Analysts and progress in two to four years toward BI, healthcare, public-sector, education or utility analytics, selected for consistent performance and sector knowledge.
Data Analyst Salary in Patiala — Experience-wise
Earnings vary with experience, sector and demonstrated SQL and BI ability; a single job title can pay very differently. Basic charts bring entry pay; well-built queries, sharp framing and confident recommendations bring more and quicker growth.
| Career Level / Role | Indicative Salary Range |
|---|---|
| Entry-Level Data Analyst | ₹3–6 LPA |
| Data Analyst (Mid-Level) | ₹6–10 LPA |
| Senior Data Analyst | ₹10–15 LPA |
| Business Intelligence Analyst | ₹7–12 LPA |
Sources reviewed: AmbitionBox, Glassdoor, Indeed and Uncodemy placement records. Reviewed: 12 October 2026.
Big hospitals, banks and power-sector contractors tend to pay in the middle band, smaller Focal Point units may open lower, and Chandigarh, Mohali, NCR or remote teams can pay above. Read every range as indicative — Uncodemy promises neither placement nor package.
Top Hiring Sectors for Data Analysts in Patiala & the Malwa Heartland
Uncodemy's hiring network includes 850-plus companies nationwide. Around Patiala, analysts work in:
Education and sports — admissions, results, research and athlete-performance analytics
Power and public utilities — feeder, outage, billing and customer analysis
Healthcare — patient flow, pharmacy and hospital billing reports
Banking, government and agri-trade — financial MIS and grain procurement data
Mohali, Chandigarh tricity and remote analytics teams — openings within a short commute or none at all
Hospitals, utilities and universities each value different skills, so pick a direction early and train your portfolio toward it.
How to Become a Data Analyst — Step by Step
Becoming an analyst is like preparing for a national championship: fundamentals come before speed. Skip a training phase and the weakness shows on competition day — typically a technical interview or your first month at work.
- 1
Base fitness, Excel — lookups, pivots and Power Query until a ward-by-ward or feeder-by-feeder table is a five-minute task.
- 2
Core strength, SQL — joins across patients, bills and departments, grouped totals, subqueries and window functions.
- 3
Endurance, Python — Pandas and NumPy to process large hospital or utility logs and automate reports.
- 4
Sports science, statistics — samples, confidence intervals and a regression or two, so a 'trend' isn't just one lucky race.
- 5
The scoreboard, a BI tool — Power BI measures in DAX or Tableau calculated fields, laid out so a medical superintendent needs no explanation.
- 6
Personal bests, a Patiala portfolio — three to five projects, such as emergency-ward peaks or feeder complaint hotspots, each finishing with a recommendation.
- 7
Selection trials — race the clock on SQL problems, argue business cases aloud, and let each CV line name the gain a project produced.
Give it roughly six to seven months of disciplined sessions; by then most Patiala learners feel interview-ready.
How This Course Compares to Other Data Analytics Courses in Patiala
Patiala learners can choose between local coaching, Chandigarh institutes and online bootcamps for analytics. Here is what Uncodemy's course actually offers.
| 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 |
That breadth matches how recruiters judge freshers today — Excel cleanup, SQL retrieval, Python automation and dashboard storytelling in one profile. Pre-recorded courses cost less, and an office that only needs sharper Excel and Power BI sheets may be happy with one.
Online vs Offline vs Hybrid — Which Should You Choose?
Syllabus, trainers, projects and fees are identical whatever the format. For Patiala, live online classes are the practical route — train from home, resolve doubts on the spot and fit study around office, hospital or university schedules.
Delhi is roughly 250 km from Patiala, so an occasional classroom visit is possible but not needed. Online learners receive every benefit — live classes, recordings, doubt sessions and placement support — and an approved mode change keeps all 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 Patiala
Faculty behind the Patiala batches. Patiala 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 power and public utilities and healthcare — the kind of data employers in Patiala & the Malwa Heartland actually hold.
All trainers and reviewers are published on the Uncodemy trainers page with their domain and experience.
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.
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.
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 Patiala?
It is a six-to-seven-month block — 75-plus live online sessions and 120-plus hours — and Patiala learners choose between weekday and weekend squads.
Can I learn data analytics without a coding background?
No coding is needed. PSPCL clerks, hospital office staff and BA graduates from Punjabi University start with a first SQL SELECT and a first Python variable in class; Excel and SQL cover months one and two.
What tools are covered in this course?
Ten-plus — SQL, Python, Pandas and NumPy for handling data, Statistics for checking it, Excel, Power BI and Tableau for showing it, plus ChatGPT and Copilot as time-savers.
Does the course include a Gen AI module?
Eight hours in Module 8 focus on Gen AI — instructing an AI assistant on data tasks, verifying its SQL and Python, using Copilot in Excel and Power BI, and catching responses that are wrong.
How many projects will I complete?
Six projects: five guided (retail, banking, HR, e-commerce, healthcare) and a capstone of your own. Hospital admissions or feeder-complaint data would make a fine Patiala capstone.
Are the classes live or pre-recorded?
Every session is live — 75-plus classes in real time, each recorded for review. The syllabus is the same across formats.
What is the fee for the Data Analytics course in Patiala?
For a Patiala learner the full amount is ₹20,650 — ₹17,500 plus 18% GST — and it can be paid in instalments starting at ₹4,032 a month.
Are EMI options available?
Monthly EMIs start from ₹4,032; your lender sets the tenure and approval, and a counsellor helps you complete it.
Is there a demo class before I enrol?
Yes — attend a free online demo session from Patiala, meet the trainer and review the syllabus before paying.
Do you provide placement assistance?
You get CV and LinkedIn reviews, portfolio feedback, mock interviews and job leads from more than 850 partner firms. Employers make the selection, so a job is never guaranteed.
Can a fresher get a data analyst job after this course?
Hospitals, power-sector contractors, universities, banks and remote analytics teams take on freshers with SQL, a dashboard tool and strong projects; initial packages usually sit around ₹3–6 LPA.
What is the salary of a data analyst in Patiala?
Indicative bands: ₹3–6 LPA at entry, ₹6–10 LPA a few years in, ₹10–15 LPA at senior level. Patiala posts may pay less than tricity or NCR roles with the same title — a guide, not a guarantee.
What job roles can I apply for after this course?
Most begin as Data, MIS or Business Analysts, moving later into BI, healthcare, utility, education or public-sector analytics.
Who is eligible for this Data Analytics course?
Yes — any graduate qualifies; physical-education, law, arts and commerce degrees are just as acceptable as engineering from Thapar.
Are the salary, placement and review figures on this page guaranteed?
They're indicative, gathered from our records and public reviews; outcomes and EMI terms vary individually.
Is classroom training available in Patiala?
Punjab has no Uncodemy room; Patiala learners join the live online batches. Physical teaching takes place in Noida and at Shakarpur Extension, Delhi, a short walk from Nirman Vihar Metro.
Which companies hire Uncodemy learners?
850-plus firms recruit via Uncodemy — Genpact, Clarivate, HSBC, upGrad and Fiserv among them. Former learners now work at HSBC and Fiserv as Business Analysts, at Genpact as a Process Developer Analyst and at Clarivate as an IP Analyst.
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 Patiala note on each card suggests how to rebuild it around education and sports.
UncodemyDATA ANALYTICSSales Analysis Dashboard
Unorganised retail sales records are tidied in SQL Server and placed on a Power BI scoreboard comparing stores, months and categories.
Patiala version: Run the same SQL Server + Power BI pipeline on education and sports sales from Patiala and compare months, products and outlets.
Python
Excel
Power BI
SQL
Ms. Rachna VermaData Analytics Trainer
Sagar Bajirao ShembadeData AnalystUncodemyDATA ANALYSTMusic Store Analysis
In PgAdmin4, learners draw up the PostgreSQL tables of an online music shop and write queries ranking genres and flagging repeat buyers.
Patiala version: Model a healthcare catalogue the same way and rank items, customers and areas of Patiala & the Malwa Heartland 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
Patiala version: Clean and chart public health or footfall data for Patiala & the Malwa Heartland with the same Pandas and Matplotlib workflow.
Python
Pandas
Jupyter NotebookGitHub
Mr. Upendra Kumar TiwariSenior Data Science Trainer
Shruti SaxenaData AnalystUncodemyDATA ANALYTICSCompany Insights 360°
Python, SQL and Power BI are combined into a monthly admissions, bed-occupancy and discharge report for a fictional Patiala hospital.
Patiala version: Build a scorecard of power and public utilities employers around Patiala — size, hiring trend and pay bands — with SQL and DAX.
PythonSQLPower BIDAXMs. Rachna VermaData Analytics Trainer
Rajat KashyapData AnalystUncodemyDATA ANALYTICSIPL Analysis Dashboard
IPL match data from several seasons is broken down by ground and by innings phase — powerplay, middle overs, death — and shown across 44-plus charts, much like an NIS performance review.
Patiala version: Swap IPL data for education and sports seasonality in Patiala 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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