4.8 LPAHyderabadAnkit Singh
Data Analyst
- Placed at
- FINELABS
- Program
- Data Analytics Batch
- Batch
- DA/09/0823/S WD 7PM
Data Analytics Course in Rampur with Gen AI & Placement Assistance
Once the seat of a princely state and home to the celebrated Raza Library, Rampur today mixes heritage with industry: its distillery produces whisky sold around the world, sugar mills crush cane from the surrounding tehsils, and small units turn out textiles, kites and metal goods. These businesses increasingly keep their records digitally and want people who can interpret them. Uncodemy's Data Analytics Course trains Rampur learners for that work across 6–7 months of live online teaching in Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI.
Uncodemy's classrooms are limited to Delhi and Noida, with the Delhi branch housed in Shakarpur Extension next to DSEU Ambedkar College and within a short walk of Nirman Vihar and Laxmi Nagar Metro Stations. Rampur learners attend those batches over a live connection, receiving more than 120 hours of tuition, over 75 trainer-led classes, practical projects and a personal placement mentor. ₹17,500 is the fee; including 18% GST, the total comes to ₹20,650.
Why Choose Uncodemy?
14+Years of Training Excellence
850+Companies in Our Hiring Network
54,000+Learners Trained
200+Corporate Associations
₹20,650
- Program Fee₹17,500 + 18% GST
- Total Fee (incl. 18% GST)₹20,650
- EMIFrom ₹4,032/month
- Mode in RampurLive Online (classroom only at Delhi & Noida centres)
EMIFrom ₹4,032/month
Program Details
Data Analytics with Gen AI — Instructor-Led Training & Career Support Program
Over six to seven months of live online lectures, Rampur learners move from spreadsheets and SQL to Python and statistics and on to Power BI, Tableau and Gen AI. Exercises draw on distillery batches, mill receipts and small-factory orders, a mentor reviews progress, and the final weeks focus on interviews.
| Learning | 120+ Hours |
|---|---|
| Program Duration | 6–7 Months |
| Live Training | 75+ Live Sessions |
| Technology Coverage | 10+ Tools & Technologies |
| Practical Learning | Hands-on Projects & Case Studies |
| Program Fee | ₹17,500 + 18% GST |
| Total Fee | ₹20,650 |
| EMI | Starting From ₹4,032/Month* |
| Career Support | Dedicated Career & Placement Assistance |
| Hiring Network | 850+ Companies |
Data Analytics Course in Rampur — 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
When the course ends, learners can be handed a production log, a dealer ledger or a hospital register and return a clean, analysed and convincingly argued answer using the course tools. After the career phase, eligible learners begin applying for analyst openings; a few recorded outcomes 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. Rampur 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 Rampur distillery tracks grain inputs, fermentation yields, cask ageing and export shipments; a sugar mill tracks cane weight, recovery and farmer dues; a hospital tracks admissions and pharmacy stock; a kite maker tracks orders before Makar Sankranti and Independence Day. Data analytics brings such records to life — cleaning them, testing patterns with statistics and displaying the findings so managers see what is working and what is not. The same method helps any organisation understand its customers, monitor results, reduce losses and plan ahead.
What does a data analyst do?
An analyst's week combines extraction, repair and storytelling. SQL fetches the records; mismatched codes and missing values are corrected; Excel or Python is used to compare batches, seasons or branches; Power BI or Tableau turns the result into a dashboard; and a meeting with the plant head, finance team or sales manager decides what happens next.
Data Analytics vs Data Science vs Business Analytics
A distillery illustrates the three fields. Analytics explains why one batch's yield fell; data science forecasts next year's grain requirement; business analytics recommends sourcing and production plans.
| Aspect | Data Analytics | Data Science | Business Analytics |
|---|---|---|---|
| Core question | What happened, and why? | What will happen next? | What should the business do? |
| Coding depth | Low to moderate | High | Low |
| Typical entry salary | ₹3–6 LPA | ₹8–18 LPA | ₹4–7 LPA |
| Time to job-ready | 6–7 months | 9–12 months | 5–6 months |
Salary bands in the table are approximate first-job ranges from the referenced sources and depend on employer, role, skill, experience, city and market.
Course Overview
Rampur learners spend 6–7 months on the program, attending more than 75 live online classes and over 120 learning hours. The opening modules build Excel and SQL; the middle ones add Python, statistics, data cleaning and exploratory analysis; the final ones cover Power BI, Tableau and Generative AI. Distillery, mill and service datasets appear throughout, each phase ends with a guided project, and the capstone crowns a portfolio you can show any recruiter.
- Rampur learners who want live teaching without relocating to Moradabad, Bareilly or NCR.
- Graduates of Mohammad Ali Jauhar University, local degree colleges and nearby institutions, from any stream, interested in analytics.
- Staff at the distillery, sugar mills, textile or small manufacturing units who already maintain records.
- Employees of banks, hospitals and government offices aiming to move into analysis.
- Ledger and MIS clerks who want SQL, Python and dashboards in addition to Excel.
Eligibility: A bachelor's degree in any discipline allows you to enrol (full details on the eligibility criteria page). No prior programming is needed; SQL and Python are introduced from first principles. Comfort with numbers is useful, and the statistics module rebuilds the key ideas. A laptop with 8GB RAM and dependable internet is recommended.
Upcoming Data Analytics Course Batches in Rampur
Rampur learners can select weekday or weekend live batches, timed to suit college schedules, plant shifts and office hours. A free online demo session is available before enrolment.
DateTimeTrainerSeats Left
Weekdays
- 19 Oct02:00 PM – 03:00 PMMr. Upendra02 Seats
- 02 Nov10:30 AM – 11:30 AMMs. Rachna01 Seat
- 09 Nov12:00 PM – 01:00 PMMr. Abhi02 Seats
- 16 Nov07:30 PM – 08:30 PMMr. Rahul01 Seat
Weekends
- 28 Nov03:00 PM – 05:00 PMMr. Irshad02 Seats
Seats are limited and updated daily. All timings are in IST.
Data Analytics Course Syllabus & Curriculum in Rampur
The curriculum's 120-plus hours run across nine modules modelled on a real distillery or mill brief: sourcing records, scrubbing them, analysing them, reading the result, charting it and reporting upward. Each module closes with a marked practical on authentic data, and module nine collects your best pieces 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 Rampur
Learners who complete every module, assignment and the capstone are awarded the Uncodemy Data Analytics Program Certificate, which states the program, duration, tools and completion date and carries a reference for verification. It is issued only after coursework and assessments have been passed.
Because employers in Rampur and beyond want to see real ability, the certificate is accompanied by a portfolio — graded spreadsheet, SQL, Python, statistics, BI and Gen AI assignments and a capstone resolving a complete business problem.
Key Benefits of Our Data Analytics Certification:
- Program Completion: Records that the whole course was completed.
- Online Verification: Authenticity can be confirmed online via its reference.
- Practical Learning: Rooted in delivered projects, not attendance.
Employers may verify a Rampur learner's certificate online through Uncodemy's official portal whenever required.
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., designs its courses to make learners employable. It holds classroom batches in Delhi and Noida and teaches Rampur and the rest of India through live online classes. Learners include beginners, graduates, freshers and working people wanting practical skills.
In this course, Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI are applied to authentic datasets in project form, mirroring what analytics teams really do — monitoring key figures, maintaining dashboards, preparing reports and supporting decisions. The complete syllabus is available before you join.
Lectures in Rampur's batches are backed by mentor hours, graded practice, project reviews, interview rehearsal and job alerts. The career support policy arrives in writing before any fee is taken, so the scope, limits and eligibility are clear from day one.
Other courses for Rampur learners
Learners from the Nawabi city who'd rather study AI, ML, Data Science or Business Analysis can take those as live online tracks with Uncodemy.
Enroll in Our Data Analytics Training in Rampur Today!
Start from Rampur — attend live online classes, practise on industrial and service data, build a portfolio and prepare for analyst roles locally, in NCR or remotely.
Data Analyst Jobs and Career Scope in Rampur
Rampur's industrial base is small but distinctive. The distillery is one of north India's largest, handling grain procurement, fermentation, maturation and an international export business that depends on careful batch and inventory tracking. Sugar mills in the district manage cane zones, weighbridges and farmer payments, while textile, kite-making, metal-craft and food-processing units keep order and stock records.
Banks and cooperative societies, a growing private-hospital sector, Mohammad Ali Jauhar University and other colleges, the Raza Library's digitisation work and government offices add openings for people who can report on data. Moradabad, Bareilly and NCR are within reach by road and rail, and remote analytics work is open to anyone with the right skills.
Across every employer, SQL and a BI tool are basic expectations. The candidates who stand out can turn a vague request into a precise business question, choose the metric that matters and explain their recommendation in plain language.
Job Roles After This Course
Course graduates generally target Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst vacancies. The distillery asks which batches under-yield, a mill asks which zones under-deliver, a lender asks which loans are slipping — and each answer is built with SQL, spreadsheets and a dashboard.
| Role | Core Tools |
|---|---|
| Data Analyst | SQL, Excel, Python, Power BI |
| Business Analyst | SQL, Excel, BI tools |
| MIS Executive / Analyst | Excel, SQL, Power BI |
| Business Intelligence Analyst | Power BI, Tableau, SQL, DAX |
| Marketing / Product Analyst | SQL, Python, BI tools |
| Operations Analyst | Excel, SQL, Power BI |
Rampur freshers often take a Data, MIS or Business Analyst post first — at the distillery, a mill, a bank or an NCR firm — and over two to four years specialise in BI, product, marketing or operations analytics, promoted for owning complete work.
Data Analyst Salary in Rampur — Experience-wise
An analyst's salary reflects experience, industry and real competence with SQL and BI, and pay under a single title varies considerably. Dashboard-only candidates generally start lower; those who also query efficiently, structure problems and argue persuasively start higher and advance faster.
| Career Level / Role | Indicative Salary Range |
|---|---|
| Entry-Level Data Analyst | ₹3–6 LPA |
| Data Analyst (Mid-Level) | ₹6–10 LPA |
| Senior Data Analyst | ₹10–15 LPA |
| Business Intelligence Analyst | ₹7–12 LPA |
Sources reviewed: AmbitionBox, Glassdoor, Indeed and Uncodemy placement records. Reviewed: 12 October 2026.
Employers inside Rampur usually open below Moradabad, Bareilly or NCR rates, while the larger industrial houses and remote teams can reach higher in each bracket. These are illustrative ranges that move with role, ability, experience, city, employer and market; Uncodemy assures no pay or placement.
Top Hiring Sectors for Data Analysts in Rampur
Uncodemy's hiring network includes more than 850 companies across India. For Rampur learners, analyst opportunities centre on:
Distillery and beverages — grain sourcing, batch yield, maturation inventory and export analytics
Sugar mills — cane-zone, recovery, weighbridge and payment reporting
Textiles, kites, metal craft and food processing — order, stock and production tracking
Lenders, hospitals and the university — overdue accounts, OPD volumes and admissions tracking
Work-from-home and big-city openings — analytics roles in Moradabad, Bareilly, Noida and Delhi
Distillery, mill and service employers each look for different strengths, so choose your target early and shape your portfolio for it.
How to Become a Data Analyst — Step by Step
Analytics skill matures like a good single malt — slowly, in stages, each building on the last. Rush or skip a stage and the gap appears exactly when it hurts: in a technical interview or during the first months of a new job.
- 1
Excel mastery — XLOOKUP, pivot tables and Power Query for quick batch-wise or dealer-wise summaries.
- 2
Fluent querying — SQL joins linking grain purchases to batches and batches to dispatches, grouped totals, nested queries and window functions.
- 3
Python range — Pandas and NumPy for large logs and automated reporting.
- 4
Measured judgement — sampling, confidence intervals, significance tests and regression, so a plant head accepts that a yield change is real.
- 5
A dashboard someone will actually use — Power BI with DAX or Tableau with calculated fields, finished until the distillery's production manager reads it unaided.
- 6
Portfolio — three to five projects, such as batch-yield variation or cane recovery by zone, each ending in a recommendation.
- 7
Applications — timed SQL practice, case rehearsal and a results-focused CV and LinkedIn.
Most Rampur learners need six to seven months of steady practice to become interview-ready; daily effort outperforms occasional long sessions.
How This Course Compares to Other Data Analytics Courses in Rampur
Courses in analytics are sold at every price, from bargain weekend sessions to bootcamps costing lakhs. Below, plainly, is what Rampur learners receive from Uncodemy.
| 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? A fresher in a distillery or bank may begin a task in Excel, need SQL midway, script part of it in Python and present on a dashboard. Cheaper recorded options exist; someone after only tidier Excel and Power BI skills could pick one.
Online vs Offline vs Hybrid — Which Should You Choose?
All formats share the same syllabus, trainers, projects and fee. From Rampur, live online study is the practical choice — real-time classes from home, immediate doubt resolution and timings that suit college or work.
Classrooms are in Noida and Delhi (Shakarpur), roughly 200 km away, so hybrid suits only those who visit NCR regularly. Online learners receive identical teaching, recordings, doubt support and placement services, and a permitted format change keeps 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 Rampur
The people who teach Rampur batches. There is no Uncodemy classroom in Rampur, so learners from Rampur join the live online batches taught by the same trainers who run classroom sessions in Delhi and Noida. The Data Analytics track is led by Irshad Khan, Senior Trainer, who reviewed and signed off this curriculum.
Technical content is checked separately by domain reviewer Upendra Kumar Tiwari, so the person teaching a topic is not the only one verifying it. When a learner from Rampur wants a capstone built on sugar and distilleries or agri-trade data, the trainer helps frame the questions, clean the dataset and design the dashboard.
Every trainer is listed by name on the Uncodemy trainers page, so you can check their background before you enrol.
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.
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.
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 Rampur?
Budget six to seven months — over 75 live lectures and 120-plus learning hours, in weekday or weekend batches that work around distillery and mill shifts.
Can I learn data analytics without a coding background?
Not a problem. Rampur learners from arts, commerce or Urdu-medium backgrounds start SQL with a single SELECT and Python with variables; spreadsheets and queries fill most of the first two months.
What tools are covered in this course?
A dozen-odd: core Python with Pandas and NumPy alongside SQL for crunching; Statistics for inference; Power BI, Tableau and Excel for presenting; Copilot and ChatGPT for speed.
Does the course include a Gen AI module?
Module 8 devotes eight hours to Gen AI for analysts, covering prompt design for data tasks, checking AI-generated SQL and Python, using Copilot in Excel and Power BI and validating AI results.
How many projects will I complete?
Rampur learners finish six projects — five guided ones in retail, banking, HR, e-commerce and healthcare, and a capstone of their own choosing; distillery or sugar-mill data would make a compelling capstone.
Are the classes live or pre-recorded?
Each of the 75+ classes is taught live by a trainer, and recordings are shared afterwards; the online, classroom and hybrid formats follow one syllabus.
What is the fee for the Data Analytics course in Rampur?
The Rampur fee is ₹20,650 in total — ₹17,500 plus 18% GST — and covers classes, materials, projects, certification and placement support; EMI begins at ₹4,032 a month.
Are EMI options available?
EMI plans start at ₹4,032 per month, with tenure and approval set by the financing partner and arranged by a counsellor.
Is there a demo class before I enrol?
A complimentary live demo is open to Rampur learners for observing a trainer, asking questions and reviewing the syllabus before enrolling.
Do you provide placement assistance?
Our placement desk reworks your CV and LinkedIn, critiques your portfolio, runs mock interviews and forwards vacancies from more than 850 recruiting firms; because the employer always decides, nobody can promise you a job.
Can a fresher get a data analyst job after this course?
Freshers are hired regularly — the distillery, sugar mills, Rampur banks and work-from-home analytics teams all look for newcomers who can prove SQL, a dashboard tool and real projects. Opening offers tend to sit around ₹3–6 LPA.
What is the salary of a data analyst in Rampur?
Indicatively, freshers earn ₹3–6 LPA, mid-level analysts ₹6–10 LPA and senior analysts ₹10–15 LPA; Rampur roles may pay less than NCR or remote positions, and no figure is guaranteed.
What job roles can I apply for after this course?
The first rung is usually a Data, MIS or Business Analyst title; later, Rampur alumni move toward BI engineering, reporting leadership, product or sales analytics and operations analysis.
Who is eligible for this Data Analytics course?
A finished degree in any discipline is the sole requirement; no coding or analytics experience is assumed, and Rampur batches combine students, plant and office staff and career changers.
Are the salary, placement and review figures on this page guaranteed?
These numbers are indicative, drawn from Uncodemy's records and public review platforms, and individual results and EMI approval vary.
Is classroom training available in Rampur?
The district has no Uncodemy classroom; in-person teaching is limited to Delhi and Noida, so Rampur learners follow those batches through a live link. Visitors to Delhi will find the Shakarpur Extension office near Nirman Vihar Metro.
Which companies hire Uncodemy learners?
Upward of 850 recruiters — Genpact, upGrad, Fiserv, Clarivate and HSBC 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
These five capstones were built by Uncodemy learners and mentored by our trainers. Each card shows the tools used, the mentor, the learner who built it and a Rampur version you can attempt with local data.
UncodemyDATA ANALYTICSSales Analysis Dashboard
Transaction data from a fictional retailer is cleaned with SQL Server and laid out in a Power BI report where managers filter sales by region, month and category, each view answering a requirement.
Rampur version: Run the same SQL Server + Power BI pipeline on sugar and distilleries sales from Rampur and compare months, products and outlets.
Python
Excel
Power BI
SQL
Ms. Rachna VermaData Analytics Trainer
Sagar Bajirao ShembadeData AnalystUncodemyDATA ANALYSTMusic Store Analysis
An online music store's PostgreSQL database is designed in PgAdmin4 from an entity diagram, and SQL reveals top genres, repeat customers and expansion opportunities.
Rampur version: Model a handicrafts and retail catalogue the same way and rank items, customers and areas of Rampur by revenue.
Power BI
DAX
CSV
GitHub
Dr. Vijay K. GuptaMD & CEO
Ankit SinghData AnalystUncodemyDATA ANALYTICSCovid 19 Pandemic Analysis
National COVID-19 data is reconciled in Pandas, quantified with NumPy and plotted with Matplotlib to compare state-level infection waves.
Rampur version: Clean and chart public health or footfall data for Rampur 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 to produce a monthly HR, revenue and productivity report for an imaginary beverage distributor.
Rampur version: Build a scorecard of agri-trade employers around Rampur — size, hiring trend and pay bands — with SQL and DAX.
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Rajat KashyapData AnalystUncodemyDATA ANALYTICSIPL Analysis Dashboard
Python | Jupyter Notebook | Power BI | SQL | Mr. Upendra Kumar Tiwari – Senior Data Science Trainer | Pawan Mehra – Data Analyst
Rampur version: Swap IPL data for sugar and distilleries seasonality in Rampur and show peaks, slumps and outliers in one dashboard.
PythonJupyter NotebookPower BISQLMr. Upendra Kumar TiwariSenior Data Science Trainer
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