Data Analytics Course in Firozabad with Gen AI & Placement Assistance

Name: Data Analytics Course in Firozabad with Gen AI & Placement Assistance
Price: 20650 INR

Firozabad — Suhag Nagri — makes most of India's glass bangles and a large share of its glassware, chandeliers and decorative glass. Furnaces run day and night, and every batch, breakage, order and gas bill is a number someone should be studying. Uncodemy's Data Analytics Course prepares Firozabad learners to do exactly that. Through 6–7 months of live online sessions, trainers teach Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI with practical, factory-floor examples.

Uncodemy runs physical batches only in Delhi and Noida. The Delhi building is in Shakarpur Extension, beside DSEU Ambedkar College and close to the Nirman Vihar and Laxmi Nagar Metro Stations. Learners in Firozabad attend those batches online and receive more than 120 hours of instruction, 75+ trainer-led sessions, applied projects and individual placement support. Total cost: ₹17,500 plus 18% GST, i.e. ₹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

Firozabad learners spend six to seven months in live online sessions on Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI. Case studies come from glass manufacturing, bangle trade and retail; mentors monitor progress; and an interview-practice block closes the course.

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 Firozabad — 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

Once they complete the program, learners can take a furnace log, a dealer order list or a breakage register and produce a cleaned, analysed and well-presented conclusion using the tools taught. After career preparation, eligible learners apply for analyst roles; recorded outcomes are listed below.

4.8 LPAHyderabad

Ankit Singh

Data Analyst

Placed at: FINELABS
Program: Data Analytics Batch
Batch: DA/09/0823/S WD 7PM

Read placement record

4.8 LPAIndia

Ashish Butola

Data Analyst

Placed at: Allsoft Solutions
Program: Data Analytics Batch
Batch: DS/12/0823/IR WE 12 PM

Read placement record

4.0 LPADelhi

Rajat Kashyap

Data Analyst

Placed at: Hexalog
Program: Data Analytics Batch
Batch: DS/DA Weekend July Batch 10 AM

Read placement record

3.25 LPAPune

Sagar B. Shembade

Data Analyst

Placed at: SmartStudy
Program: Data Analytics Batch
Batch: DA/WD/S 08:00 PM 08 JAN-UC

Read placement record

3.0 LPANoida

Priyanka Kumari

Data Analyst

Placed at: CloudFirst Digital
Program: Data Analytics Batch
Batch: DS/DA Weekend July Batch 10 AM

Read placement record

3.0 LPADelhi

Shruti Saxena

Data Analyst

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

Read placement record

Location badges show where each learner was placed. Firozabad 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?

In a Firozabad glass unit, every furnace shift carries a gas bill, a pull rate and a breakage count, and every dealer carries an order history and a payment record. Data analytics joins these dots: records are cleaned, patterns are tested statistically and results are drawn as charts, so the owner can see which shift burns extra fuel, which bangle design sells in which state and which dealer is quietly slipping behind on payments. Hospitals, lenders, schools and retailers apply exactly the same method to understand customers, monitor operations, cut losses and plan the next season.

What does a data analyst do?

On a typical day an analyst writes SQL to extract furnace or sales data, corrects mismatched codes and missing entries, compares shifts, designs or dealers in Excel or Python and builds a Power BI or Tableau dashboard. The day ends with a conversation — with the factory owner, production supervisor, munim or sales team — about what the numbers mean and what to change tomorrow.

Data Analytics vs Data Science vs Business Analytics

A glass factory makes the distinction clear. Analytics explains why breakage rose in last summer's heat; data science predicts gas consumption for the next quarter; business analytics recommends furnace schedules and product mix.

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 shown here is a broad bracket from the cited sources; real offers move with company, title, skill, experience, city and season.

Course Overview

Suhag Nagri learners study for 6–7 months, attending over 75 live sessions that total more than 120 hours. Excel and SQL open the curriculum; Python, statistics, cleaning and exploratory analysis follow; Power BI, Tableau and Generative AI close it. Furnace, trade and retail data appear in every session, a guided build ends each phase, and the capstone is the portfolio's showpiece.

Firozabad learners who want live, trainer-led teaching without relocating to Agra or Noida.
Graduates of local degree colleges and nearby universities, in any stream, who want to move into analytics.
Supervisors, clerks and accounts staff in glass and bangle units who already record production and orders.
Family members in glass businesses who want to manage with data rather than instinct.
MIS staff wanting SQL, Python and BI tools in addition to Excel.

Upcoming Data Analytics Course Batches in Firozabad

Weekday and weekend live batches are available to Firozabad learners, timed around college, factory shifts and office hours. A free online demo session is offered before you enrol.

DateTimeTrainerSeats Left

Weekdays

19Oct
02:00 PM – 03:00 PMMr. Upendra
02 Seats
02Nov
10:30 AM – 11:30 AMMs. Rachna
01 Seat
09Nov
12:00 PM – 01:00 PMMr. Abhi
02 Seats
16Nov
07:30 PM – 08:30 PMMr. Rahul
01 Seat

Weekends

28Nov
03:00 PM – 05:00 PMMr. Irshad
02 Seats

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

Data Analytics Course Syllabus & Curriculum in Firozabad

Nine modules spanning 120-plus hours follow a real factory or trade brief from request to report: sourcing data, cleaning it, analysing it, interpreting results, charting them and presenting to the owner. Every module ends with a scored practical on genuine data, and module nine assembles 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

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 Firozabad

After finishing the nine modules, all assignments and the capstone, Firozabad learners receive the Uncodemy Data Analytics Program Certificate. It displays the program name, duration, tools covered and completion date together with a verification reference, and it is issued only once coursework and assessments are complete.

Glassworks owners and NCR recruiters both ask to see work, so the certificate travels with a folder of marked spreadsheet, SQL, Python, statistics, BI and Gen AI assignments and a capstone that resolves a full business case.

Key Benefits of Our Data Analytics Certification:

Program Completion: Confirms completion of the full analytics course.
Online Verification: Employers can verify its reference online.
Practical Learning: Built on graded assignments and an individual capstone.

Should an employer wish to check a Firozabad learner's credential, Uncodemy's online portal confirms it within moments, at any hour.

Uncodemy Certificate Verification — Online Certificate Verification & Download: certificate.uncodemy.com

Sample Uncodemy Certificate of Training, marked not for use — Uncodemy Certificate of Training (sample)

NSDC Certificate of Partnership issued to Uncodemy — NSDC Certificate of Partnership

IIBA Endorsed Education Provider certificate issued to Uncodemy — IIBA Endorsed Education Provider

Tools and Technologies Covered

Excel
Tableau
Power BI
NumPy
Python
Pandas
SQL
Statistics
ChatGPT
Copilot

Introducing Uncodemy

Uncodemy, run by Uncodemy Edutech Pvt. Ltd., measures each course by a single test: does it make the learner employable? Classroom groups meet in Delhi and Noida; live online groups take identical lessons to glass-town and every other corner of India. Learners range from first-timers and graduates to working staff and members of business families.

Here you apply Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI to real datasets through projects. The tasks reflect what analytics professionals actually do — tracking metrics, maintaining dashboards, writing reports and supporting decisions — whether in a corporate team or a family glassworks. The module-wise syllabus is available before you join.

Each session is reinforced by mentor hours, graded practice, project feedback, mock interviews and job alerts. A written career support policy, given before admission, sets out the scope of help, its limits and the conditions for eligibility.

Other courses for Firozabad learners

Learners from the bangle city who would rather pursue AI, ML, Data Science or Business Analysis can take those as live online tracks with Uncodemy.

Enroll in Our Data Analytics Training in Firozabad Today!

Begin in Firozabad: attend live sessions, practise on furnace, wholesale and retail data, build your portfolio and step toward analyst work — or toward running the family glassworks by the numbers.

Batches Curriculum

Data Analyst Jobs and Career Scope in Firozabad

Firozabad's glass industry includes hundreds of furnaces and thousands of smaller processing units producing bangles, tableware, lamps, chandeliers and decorative items. Fuel is one of the biggest costs, so tracking gas consumption, pull rates, breakage and furnace uptime offers real savings; larger units are adopting ERP systems that create demand for people who can analyse production, inventory, dealer sales and receivables.

The bangle and glassware wholesale trade, transport and packaging firms, banks and NBFCs, hospitals, schools and retail businesses add further openings. With Agra close by and the Agra–Lucknow and Yamuna expressways linking the city to NCR, many learners also target Agra, Noida and remote roles. Throughout, SQL and a BI tool are expected; what differentiates candidates is the ability to define the business question, choose the right metric and explain the recommendation clearly.

Energy prices and environmental rules around the Taj Trapezium Zone make efficiency a constant concern for Firozabad's furnaces. Units that measure fuel use per tonne, breakage per batch and downtime per furnace can save substantial money, which is why owners increasingly value staff who can turn shift logs into clear dashboards.

Job Roles After This Course

Graduates usually target Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst posts. A furnace owner asks where gas money goes, a bangle wholesaler asks which dealers owe most and an NCR company asks for weekly KPIs — and each answer comes through SQL, spreadsheets and a BI 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

Glass-town freshers commonly enter as Data, MIS or Business Analysts and, two to four years on, specialise in BI, product, marketing or operations analytics. A good number take the skill straight back into the family unit. Growth follows ownership of complete analyses and fluency in the trade.

Data Analyst Salary in Firozabad — Experience-wise

In this field, earnings track experience, sector and genuine depth in SQL and BI, and salaries for one designation can sit far apart. People who only arrange charts usually enter at the floor of a bracket; those who also query efficiently, break down a vague brief and argue for action enter higher and climb 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.

Small furnaces and traders often open below Agra or NCR rates, whereas big glassworks, remote teams and metro companies usually reach higher in each bracket. Treat every range as orientation that moves with role, ability, experience, city, employer and market; Uncodemy assures neither pay nor placement.

Top Hiring Sectors for Data Analysts in Firozabad

Uncodemy places learners through a recruiter pool of over 850 Indian firms — large groups, mid-size companies and start-ups. Around Firozabad, analyst openings cluster in:

Glass and bangle manufacturing — fuel, pull-rate, breakage, uptime and production analytics
Glassware and bangle wholesale — dealer sales, inventory and receivables tracking
Packaging and transport — dispatch, freight and damage reporting
Lenders, hospitals and schools — overdue-account, patient-volume and admissions tracking
Work-from-home and big-city openings — analytics jobs in Agra, Noida, Delhi and remote teams

Manufacturers, traders and corporate employers value different strengths, so choose your target early and design your portfolio accordingly.

How to Become a Data Analyst — Step by Step

Analytical skill is formed like glass — raw material, heat and shaping in the right order. Skip a stage and flaws appear, typically in a technical interview or during the first months at work.

1
Excel foundations — XLOOKUP, pivot tables and Power Query for quick shift-wise or dealer-wise summaries.
2
SQL competence — joins, aggregation, subqueries and window functions across production and sales tables.
3
Python ability — Pandas and NumPy for large furnace logs and automated reporting.
4
Statistical understanding — sampling, hypothesis tests and regression for reliable conclusions.
5
One reporting platform, properly — Power BI with DAX or Tableau with calculated fields, finished until a furnace owner can read it unaided.
6
Portfolio projects — three to five, such as a breakage-versus-temperature study, each ending in a recommendation.
7
Job readiness — SQL drills, case practice and a CV and LinkedIn profile focused on outcomes.

Firozabad learners typically reach interview standard after roughly half a year of disciplined evening practice; consistency outweighs intensity.

How This Course Compares to Other Data Analytics Courses in Firozabad

Firozabad learners can choose from many analytics courses at very different prices. The table below shows what this 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

The course is longer and broader because employers expect analysts to switch between Excel, SQL, Python and BI tools within a single task. Recorded self-paced courses cost less; a business owner needing only an Excel and Power BI refresher might choose one.

Online vs Offline vs Hybrid — Which Should You Choose?

Format never alters syllabus, faculty, projects or fee, so let your routine decide. In Firozabad, streaming the live sessions from home is the obvious choice — no daily travel, doubts settled instantly and timings that flex around furnace shifts or college.

Classrooms are in Noida and Delhi (Shakarpur), so hybrid suits only those who travel to NCR occasionally. Online learners receive the same instruction, recordings, doubt support and placement services, and a permitted format change keeps their 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 Firozabad

The people who teach Firozabad batches. There is no Uncodemy classroom in Firozabad, so learners from Firozabad 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 Firozabad wants a capstone built on glass and bangle manufacturing or ceramics and glassware 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. Anshul

Data Analytics Trainer

Expertise

PythonSQLExcelPower BIData Visualization

About

5+ years across roles at Concentrix, Amazon and Tech Mahindra. A certified Data Scientist who now teaches data science and analytics as Academic Faculty at Uncodemy.

Live projects

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

View Profile

Mr. Upendra Kumar Tiwari

Senior Data Science Trainer

Expertise

Data ScienceData AnalyticsMachine Learning

About

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

Live projects

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

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Mr. Irshad Khan

Data Analytics & AI Trainer

Expertise

PythonSQLMachine LearningTableauArtificial IntelligenceDeep LearningPower BIMLOps

About

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

Live projects

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

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Mr. Syed Najeeb

Data Analytics & AI Trainer

Expertise

PythonMLDLNLPPower BITableauSPSSSASMS-ExcelSQLHTMLCSS

About

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

Live projects

AI agent chat/voice bot, AI-driven data analysis, a sales-forecasting ML model, NPS data model evaluation, and a face-recognition model for biometrics.

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Mr. Kunal Arora

Data Analytics Trainer

Expertise

PythonSQLExcelPower BITableauMLDLNLPTime SeriesIoT DevicesPrompt EngineeringChatbots

About

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

Live projects

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

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Ms. Rachna Verma

Data Analytics Trainer

Expertise

Advanced ExcelSQLPower BITableauPythonData VisualisationStatistics

About

Trainer for the analytics and business intelligence track at Uncodemy, working with learners on Excel, SQL and BI tooling from first principles to interview-ready projects.

Live projects

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

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Mr. Abhi

Data Analytics Trainer

Expertise

PythonSQLPower BIExcelTableau

About

3+ years building generative AI and machine learning systems, now Senior Gen AI Engineer at Uncodemy, with deep work in RAG, knowledge graphs, data analysis and AWS.

Live projects

NEMI, an enterprise memory system built on RAG, knowledge graphs and vector databases, plus automated web-scraping bots and generative AI chatbots and predictive analytics for startups.

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Mr. Rahul

Data Analytics Trainer

Expertise

SQLAdvanced ExcelPower BIPythonTableau

About

14+ years in banking and insurance operations at Aon Hewitt, NIIT Technologies and Coforge, now teaching Excel, SQL, Python and Power BI through real business scenarios.

Live projects

MIS reports and Excel dashboards for leadership tracking SLAs, error rates and backlog, SQL data cleaning and validation across systems, and live Power BI dashboards.

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Dr. Vijay K. Gupta

MD & CEO

Expertise

EdTech LeadershipEducation & TrainingResearch & Mentorship

About

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

Live projects

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

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Gangesh Kumar Gaunr

CEO & Founder

Expertise

Technology StrategyCloud & AI SolutionsEdTech Leadership

About

CEO & Founder of GvCloud Secure and Uncodemy with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.

Live projects

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

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Frequently Asked Questions

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

Learners from Suhag Nagri should plan for six to seven months — more than 75 live online sessions and over 120 hours of learning, in weekday or weekend batches that suit furnace shifts and college schedules.

Can I learn data analytics without a coding background?

Glass-town learners rarely arrive with coding experience, and that's fine. SQL starts with simple SELECT statements, Python with basic variables, and the first two months focus mainly on Excel and SQL.

What tools are covered in this course?

More than ten tools feature: SQL, Python, Pandas and NumPy handle the data; Statistics supports reasoning; Excel, Power BI and Tableau present results; ChatGPT and Copilot provide AI assistance.

Does the course include a Gen AI module?

Module 8 is dedicated to Gen AI for eight hours. It covers framing data problems for AI tools, checking AI-written SQL and Python, using Copilot in Excel and Power BI, and identifying incorrect AI output.

How many projects will I complete?

Firozabad learners complete six projects: five guided ones on retail, banking, HR, e-commerce and healthcare data and a capstone of their choice — a furnace-fuel or bangle-sales dataset would be ideal.

Are the classes live or pre-recorded?

Every one of the 75+ sessions is delivered live by a trainer, with recordings available afterwards. Online, classroom and hybrid formats share the same syllabus.

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

The fee for Firozabad learners is ₹20,650 in total — ₹17,500 plus 18% GST — covering sessions, materials, projects, certification and placement support. EMI starts from ₹4,032 a month.

Are EMI options available?

Instalments open at ₹4,032 a month; the counsellor works out tenure, final figure and sanction through whichever lender you prefer.

Is there a demo class before I enrol?

A free live demo is open to Firozabad learners, allowing you to observe a trainer, ask questions and review the syllabus before paying. Contact us to book.

Do you provide placement assistance?

The career desk revises CVs and LinkedIn profiles, critiques portfolios, holds mock interviews and circulates vacancies from 850-plus partner firms. Hiring rests with each employer, so a job cannot be promised.

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

Freshers are hired regularly: glassworks, bangle wholesalers, lenders and remote analytics teams look for newcomers who can prove SQL, one dashboard tool and finished projects. First offers usually sit around ₹3–6 LPA.

What is the salary of a data analyst in Firozabad?

Broad brackets are ₹3–6 LPA at entry, ₹6–10 LPA with experience and ₹10–15 LPA at senior level. Glass-town employers often pay below Agra, NCR or remote teams; Uncodemy commits to no figure.

What job roles can I apply for after this course?

Bangle-city alumni usually start out titled Data Analyst, MIS Analyst or Business Analyst. After a few years, many have moved into dashboard development, reporting management, product or sales analytics, or plant operations analysis.

Who is eligible for this Data Analytics course?

Any graduate, from any discipline, may join without coding or analytics experience. Batches include students, factory and office staff, business-family members and career changers.

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

These figures are indicative only, drawn from Uncodemy's records and public review platforms and subject to change. Outcomes depend on individual skills, experience, location, employer and market; EMI is governed by the lender.

Is classroom training available in Firozabad?

Suhag Nagri has no Uncodemy classroom; in-person teaching takes place only in Delhi and Noida, so learners here follow those batches through a live link. Anyone visiting the capital can find the Shakarpur Extension office near Nirman Vihar Metro.

Which companies hire Uncodemy learners?

Over 850 recruiters participate — upGrad, HSBC, Clarivate, Genpact and Fiserv, for instance. Alumni records list 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 Firozabad version you can attempt with local data.

UncodemyDATA ANALYTICS

Sales Analysis Dashboard

A retailer's sales tables are cleaned in SQL Server and visualised in a Power BI dashboard that filters revenue by region, month and product line, each element addressing a requirement.

Firozabad version: Run the same SQL Server + Power BI pipeline on glass and bangle manufacturing sales from Firozabad and compare months, products and outlets.

Python

Excel

Power BI

SQL

Ms. Rachna VermaData Analytics Trainer

Sagar Bajirao ShembadeData Analyst

View Profile Live Project View

UncodemyDATA ANALYST

Music Store Analysis

An online music store's PostgreSQL schema is created in PgAdmin4 and queried with SQL to identify leading genres, repeat customers and revenue potential.

Firozabad version: Model a export logistics catalogue the same way and rank items, customers and areas of Firozabad by revenue.

Power BI

DAX

CSV

GitHub

Dr. Vijay K. GuptaMD & CEO

Ankit SinghData Analyst

View Profile Live Project View

UncodemyDATA ANALYTICS

Covid 19 Pandemic Analysis

India's COVID-19 data is corrected in Pandas, analysed with NumPy and charted in Matplotlib to compare infection waves across states.

Firozabad version: Clean and chart public health or footfall data for Firozabad with the same Pandas and Matplotlib workflow.

Python

Pandas

Jupyter Notebook

GitHub

Mr. Upendra Kumar TiwariSenior Data Science Trainer

Shruti SaxenaData Analyst

View Profile Live Project View

UncodemyDATA ANALYTICS

Company Insights 360°

Python cleans, SQL stores and Power BI presents — together producing a monthly workforce, revenue and output pack for an invented glassware exporter.

Firozabad version: Build a scorecard of ceramics and glassware employers around Firozabad — size, hiring trend and pay bands — with SQL and DAX.

Python

SQL

Power BI

DAX

Ms. Rachna VermaData Analytics Trainer

Rajat KashyapData Analyst

View Profile Live Project View

UncodemyDATA ANALYTICS

IPL Analysis Dashboard

Ball-by-ball IPL data from many seasons is turned into strike rates, economy figures and venue comparisons across a 44-plus chart gallery.

Firozabad version: Swap IPL data for glass and bangle manufacturing seasonality in Firozabad and show peaks, slumps and outliers in one dashboard.

Python

Jupyter Notebook

Power BI

SQL

Mr. Upendra Kumar TiwariSenior Data Science Trainer

Pawan MehraData Analyst

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