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Data Analytics Course in Moradabad with Gen AI & Placement Assistance

Pital Nagri ships brass, aluminium and iron handicrafts to buyers in the US, Europe and the Gulf, and every container leaves behind a trail of orders, costings, shipping bills and payments. Exporters who can read that trail win more business. Uncodemy's Data Analytics Course equips Moradabad learners to do exactly that. The program lasts 6–7 months, runs as live online classes and covers Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI with an exporter's practical mindset.

Uncodemy holds physical batches only in Delhi and Noida; its Delhi premises are in Shakarpur Extension, adjoining DSEU Ambedkar College and a few minutes from the Nirman Vihar and Laxmi Nagar Metro Stations. Moradabad participants follow those same batches through a live connection and receive 120+ learning hours, 75+ instructor sessions, applied projects and dedicated placement support. Fee: ₹17,500 + 18% GST, a total of ₹20,650.

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 MoradabadLive Online (classroom only at Delhi & Noida centres)

Program Details

Data Analytics with Gen AI — Instructor-Led Training & Career Support Program

Moradabad participants work through Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI across six to seven months of live online sessions, using export-order, costing and shipment cases, with mentor reviews and a final interview-preparation round.

  • 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

List of Placed Students Trained by Uncodemy

Course completers can take a raw export register, a buyer-wise invoice list or a factory production sheet and turn it into a clean, analysed and persuasive summary with the tools they have practised. Following career preparation, eligible completers apply for analyst openings; selected outcomes appear below.

Ankit Singh, Data Analyst placed at FINELABS4.8 LPAHyderabad

Ankit Singh

Data Analyst

Placed at
FINELABS
Program
Data Analytics Batch
Batch
DA/09/0823/S WD 7PM
Read placement record
Ashish Butola, Data Analyst placed at Allsoft Solutions4.8 LPAIndia

Ashish Butola

Data Analyst

Placed at
Allsoft Solutions
Program
Data Analytics Batch
Batch
DS/12/0823/IR WE 12 PM
Read placement record
Rajat Kashyap, Data Analyst placed at Hexalog4.0 LPADelhi

Rajat Kashyap

Data Analyst

Placed at
Hexalog
Program
Data Analytics Batch
Batch
DS/DA Weekend July Batch 10 AM
Read placement record
Sagar B. Shembade, Data Analyst placed at SmartStudy3.25 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
Priyanka Kumari, Data Analyst placed at CloudFirst Digital3.0 LPANoida

Priyanka Kumari

Data Analyst

Placed at
CloudFirst Digital
Program
Data Analytics Batch
Batch
DS/DA Weekend July Batch 10 AM
Read placement record
Shruti Saxena, Data Analyst placed at Jepius Healthcare3.0 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. Moradabad 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?

An export house in Moradabad may handle hundreds of SKUs — lamps, planters, cutlery, décor — across dozens of overseas buyers. Data analytics tells it which designs earn the best margin, which buyers reorder, which shipments ran late and why. Records are cleaned, examined with statistics and visualised so management can price, plan and negotiate on evidence. Any organisation can apply the same method to customers, performance, costs and forecasting.

What does a data analyst do?

Analysts in an export business pull order and shipment data with SQL, reconcile mismatched codes and currencies, compare buyers, products and seasons in Excel or Python, build a Power BI or Tableau dashboard and brief the proprietor, merchandisers or finance team on what the figures imply for pricing, production and follow-ups.

Data Analytics vs Data Science vs Business Analytics

Consider a handicraft exporter. Analytics explains why European orders dropped last autumn; data science forecasts next season's demand by product line; business analytics recommends which designs, buyers and markets to prioritise.

AspectData AnalyticsData ScienceBusiness Analytics
Core questionWhat happened, and why?What will happen next?What should the business do?
Coding depthLow to moderateHighLow
Typical entry salary₹3–6 LPA₹8–18 LPA₹4–7 LPA
Time to job-ready6–7 months9–12 months5–6 months

Starting salaries shown are rough brackets taken from the referenced sources; real offers move with company, title, skill level, experience, city and hiring cycle.

Course Overview

Moradabad participants complete 6–7 months of study made up of 75+ live online sessions and more than 120 learning hours. Excel and SQL lay the groundwork; Python, statistics, data cleaning and EDA follow; Power BI, Tableau and Generative AI complete the sequence. Real datasets are used throughout, guided projects end each phase and a capstone anchors the portfolio.

Who should join this course:

  • Moradabad learners seeking live teaching without relocating to Delhi or Noida.
  • Graduates in commerce, science, engineering, management or arts from the city's colleges and nearby universities who want an analytics role.
  • Merchandisers, costing clerks and accounts staff in export houses who already handle orders on spreadsheets.
  • Sons and daughters in exporting families who want to run the business on data.
  • Back-office staff who prepare packing lists and invoice registers in Excel and now want databases, scripts and dashboards.

Eligibility: A bachelor's degree in any subject is required (full conditions on the eligibility criteria page). No programming background is necessary, since SQL and Python begin with fundamentals. Familiarity with numbers is helpful, and the statistics module rebuilds core ideas. A laptop with 8GB RAM and a reliable connection is recommended.

Upcoming Data Analytics Course Batches in Moradabad

Weekday and weekend live batches are available to Moradabad participants, scheduled around export-house working hours and college timetables. A free online demo is offered before enrolment.

DateTimeTrainerSeats Left

Weekdays

19 Oct
02:00 PM – 03:00 PM
Mr. Upendra02 Seats
02 Nov
10:30 AM – 11:30 AM
Ms. Rachna01 Seat
09 Nov
12:00 PM – 01:00 PM
Mr. Abhi02 Seats
16 Nov
07:30 PM – 08:30 PM
Mr. Rahul01 Seat

Weekends

28 Nov
03:00 PM – 05:00 PM
Mr. Irshad02 Seats

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

Data Analytics Course Syllabus & Curriculum in Moradabad

The 120+ hour syllabus is divided into nine modules matching the stages of real analytical work — sourcing data, cleaning it, analysing it, interpreting it, visualising it and presenting it. Each module concludes with a graded practical on genuine data, and the final module compiles portfolio projects.

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
ModuleTopicHoursTools
1Excel for Data Analytics12Excel, Power Query
2SQL & Database Management18MySQL
3Python for Data Analytics20Python, Pandas, NumPy
4Statistics & Business Mathematics12Excel, Python
5Data Cleaning & EDA12Python, Pandas
6Power BI18Power BI Desktop
7Tableau10Tableau Public
8AI & Gen AI for Analysts8ChatGPT, Copilot
9Capstone & Career Prep10All tools
Total120 Hours10+ 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 Moradabad

On clearing all nine modules, every assignment and the capstone, a Moradabad participant is issued the Uncodemy Data Analytics Program Certificate — bearing the course title, its duration, the tools mastered, the completion date and an authenticity reference.

Export houses ask, 'What can you show us?' The answer is a portfolio of graded spreadsheet, SQL, Python, statistics, BI and Gen AI work and a capstone that carries a trade problem from raw data to recommendation.

Key Benefits of Our Data Analytics Certification:

  • Program Completion: Documents completion of the entire curriculum.
  • Online Verification: Its reference is verifiable online by employers.
  • Practical Learning: Supported by graded deliverables and an independent capstone.

Moradabad participants' certificates may be verified online at any time through Uncodemy's official certificate portal.

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 is a training brand of Uncodemy Edutech Pvt. Ltd. that structures each course around employability. It conducts classroom batches in Delhi and Noida and extends live online teaching to Moradabad and all regions of India. Participants include beginners, graduates, freshers, working professionals and members of business families.

Throughout the program, Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI are used on genuine datasets. The tasks reproduce what an export house's analyst does — tracking buyer orders, refreshing margin dashboards, preparing shipment reports and guiding pricing — and equally what a corporate analytics team does. Every module of the syllabus is published in advance.

Instruction is supported by live mentoring, practice exercises, projects, interview preparation and career guidance. The career support policy is provided in writing before admission, specifying the help offered, its limits and eligibility.

Other courses for Moradabad learners

Moradabad participants may also enrol in Uncodemy's live online programs in AI, Machine Learning, Data Science or Business Analysis.

Enroll in Our Data Analytics Training in Moradabad Today!

Begin from Moradabad — join live online sessions, practise on export and business data, complete a portfolio and prepare for analyst roles or for data-led management of a family enterprise.

Data Analyst Jobs and Career Scope in Moradabad & Western UP

Moradabad's metal-handicraft industry is one of India's largest export clusters, with thousands of units and export houses along the Delhi Road, the Moradabad SEZ and the city's industrial areas. Merchandising, costing, compliance and logistics all generate data — buyer orders, raw-metal prices, polishing and plating yields, shipping schedules and foreign-currency receipts — that larger exporters increasingly analyse through ERP systems and dashboards.

Beyond exports, banks and export-finance providers, freight forwarders, hospitals, educational institutions and retail businesses need reporting skills. Moradabad's position on the Delhi–Lucknow highway also puts NCR employers within reach, and many participants target remote roles. Across employers, SQL and a BI tool are expected; what distinguishes candidates is framing the business question, selecting an appropriate metric and explaining a recommendation clearly.

Job Roles After This Course

Likely targets include Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst vacancies. Whether the question concerns brass-lamp margins, export receivables or a retailer's footfall, the analyst answers with SQL, spreadsheets and a BI dashboard.

RoleCore Tools
Data AnalystSQL, Excel, Python, Power BI
Business AnalystSQL, Excel, BI tools
MIS Executive / AnalystExcel, SQL, Power BI
Business Intelligence AnalystPower BI, Tableau, SQL, DAX
Marketing / Product AnalystSQL, Python, BI tools
Operations AnalystExcel, SQL, Power BI

Moradabad freshers commonly start as Data, MIS or Business Analysts and progress into BI, product, marketing or operations analytics within two to four years. Some apply their skills directly within family export firms. Advancement follows from owning complete analyses and mastering a sector's terminology.

Data Analyst Salary in Moradabad — Experience-wise

Remuneration depends on experience, sector and actual proficiency in SQL and BI, and salaries within one designation can vary considerably. Dashboard-only profiles usually start at the lower end; those who also query efficiently, structure problems and present convincing recommendations start higher and advance faster.

Career Level / RoleIndicative Salary Range
Entry-Level Data Analyst₹3–6 LPA
Data Analyst (Mid-Level)₹6–10 LPA
Senior Data Analyst₹10–15 LPA
Business Intelligence Analyst₹7–12 LPA

Sources reviewed: AmbitionBox, Glassdoor, Indeed and Uncodemy placement records. Reviewed: 12 October 2026.

Local export houses may begin below NCR packages, while larger exporters, banks and remote employers often pay toward the upper part of each band. All ranges are indicative and depend on role, skills, experience, location, employer and market conditions. Uncodemy guarantees no salary or employment.

Top Hiring Sectors for Data Analysts in Moradabad & Western UP

Uncodemy's hiring network includes over 850 companies across India, from enterprises to start-ups. For Moradabad and western UP, analyst demand concentrates in:

  • Metal handicraft exports — buyer, SKU, costing, margin and shipment analytics

  • Export finance and logistics — receivables, freight and documentation reporting

  • Manufacturing and plating units — yield, rejection and production tracking

  • Banking, healthcare and education — collections, patient and institutional dashboards

  • NCR and remote roles — analytics positions with companies beyond the city

Exporters, lenders and corporate employers value different skill combinations, so participants should choose a target sector early and align their portfolios accordingly.

How to Become a Data Analyst — Step by Step

Becoming an analyst resembles crafting a brass piece: casting, filing, polishing and lacquering must happen in order, and a skipped stage shows in the finish. In the same way, gaps in skill appear during technical interviews or the first months at work, because employers test applied ability.

  1. 1

    Spreadsheet command — XLOOKUP, pivot tables and Power Query, so buyer-wise, SKU-wise or month-wise summaries take minutes.

  2. 2

    Query fluency — SQL joins between order, shipment and payment tables, grouped totals, subqueries and window functions; this is where most technical rounds begin.

  3. 3

    Python for volume — Pandas and NumPy for multi-year export data, together with scripts that regenerate monthly MIS automatically.

  4. 4

    Statistical judgement — distributions, sampling, significance tests and regression output, so pricing or reorder conclusions withstand scrutiny.

  5. 5

    Dashboard delivery — Power BI with DAX or Tableau with calculated fields, finished to a report a proprietor can explore unaided.

  6. 6

    Trade-relevant portfolio — three to five projects, such as buyer-wise margin analysis or shipment-delay causes, each closing with a recommendation.

  7. 7

    Organised applications — timed SQL practice, mock case discussions and a CV and LinkedIn profile that quantify project outcomes.

Moradabad participants generally reach interview standard after six to seven months of consistent study; a disciplined hour or two each evening outperforms irregular marathons.

How This Course Compares to Other Data Analytics Courses in Moradabad

Analytics courses advertised to Moradabad learners range from inexpensive weekend seminars to costly bootcamps, and their claims often sound identical. The table below states, without embellishment, what this program delivers.

FactorThis Program
Duration6–7 months
Learning hours120+ hours
Tools covered10+ tools
Gen AI moduleDedicated 8-hour module
Projects5 guided + 1 capstone
Career supportResume, LinkedIn, mock interviews, hiring network

The six-to-seven-month span and broad toolset reflect present hiring expectations: a junior may be asked to clean an export register in Excel, query it in SQL, automate part of it in Python and present it on a dashboard. Recorded self-paced courses cost less, and a merchandiser needing only an Excel and Power BI refresher could reasonably select one.

Online vs Offline vs Hybrid — Which Should You Choose?

All formats share the same syllabus, trainers, projects and fee. For Moradabad, live online learning is the practical mode — real-time sessions from home or office, prompt doubt resolution and timings compatible with export-house hours.

Physical classrooms exist only in Noida and Delhi's Shakarpur area — about 160 km away — so a hybrid plan suits only participants who travel to NCR regularly. Remote participants forgo nothing: live teaching, recordings, doubt clinics and the full placement programme apply equally, and a sanctioned change of mode keeps all progress.

Is this course right for you?

If you want...Recommend
Only Excel + Power BI basicsA shorter course may be sufficient
Full analyst career transitionThis program
Heavy ML/Data ScienceChoose Data Science
Business-focused analyticsConsider Business Analytics
Self-paced learningRecorded course

Instructors for the Data Analytics Course in Moradabad

Who you will learn from in Moradabad. Live sessions for Moradabad are delivered online by the Delhi–Noida faculty. Irshad Khan, Senior Trainer for Data Analytics, leads the batch and approved the syllabus on this page, while Upendra Kumar Tiwari reviews its technical accuracy as a separate domain reviewer.

Learners from Moradabad & Western UP often work with brass and metal handicraft exports, export finance and logistics and plating units records, so mentors encourage projects drawn from those sectors — sales registers, stock sheets, booking logs — giving your portfolio something local employers recognise, alongside NCR and remote teams.

Names, domains and LinkedIn profiles of every trainer are public on the Uncodemy trainers page.

Mr. Abhi

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.

Mr. Rahul

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.

Mr. Anshul

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.

Mr. Upendra Kumar Tiwari

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.

Mr. Irshad Khan

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.

Mr. Syed Najeeb

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.

Mr. Kunal Arora

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.

Ms. Rachna Verma

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.

Dr. Vijay K. Gupta

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.

Gangesh Kumar Gaunr

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.

Frequently Asked Questions

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

Participants should plan for six to seven months, encompassing more than 75 live online sessions and in excess of 120 learning hours. Weekday and weekend batches are both available, which helps those working export-season overtime.

Can I learn data analytics without a coding background?

Yes. Many Moradabad participants come from commerce, merchandising or arts backgrounds without coding experience. SQL is introduced with simple SELECT statements and Python with basic variables, and the first two months concentrate on Excel and SQL.

What tools are covered in this course?

More than ten tools are covered: SQL, Python, Pandas and NumPy for data handling; Statistics for analysis; Excel, Power BI and Tableau for reporting; and ChatGPT and Copilot for AI assistance.

Does the course include a Gen AI module?

Yes. Module 8 provides eight hours on AI for analysts, including how to frame data questions for AI tools, review AI-generated SQL and Python, use Copilot within Excel and Power BI, and verify AI outputs.

How many projects will I complete?

Six projects: five guided assignments in retail, banking, HR, e-commerce and healthcare, and one capstone selected by the participant. An export-order or costing dataset would be particularly relevant for Moradabad employers.

Are the classes live or pre-recorded?

Sessions are never pre-recorded: a trainer leads each of the 75-plus classes in real time, after which the recording is posted for revision. Remote and classroom participants share one curriculum.

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

The total payable is ₹20,650, comprising the ₹17,500 fee and 18% GST. Sessions, materials, projects, certification and placement support are included without additional charges, and EMI is available from ₹4,032 per month.

Are EMI options available?

Yes — monthly plans open at ₹4,032. Duration, exact instalment and sanction are arranged through the chosen finance partner, and a counsellor coordinates the paperwork.

Is there a demo class before I enrol?

Certainly. A no-charge trial session is open to anyone in Pital Nagri; observe the trainer, raise questions and inspect the module plan before committing. Telephone or message us to schedule.

Do you provide placement assistance?

Yes. Support includes resume and LinkedIn revision, portfolio review, mock interviews and job openings from more than 850 companies. As hiring decisions rest with employers, employment cannot be guaranteed.

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

Yes. Export houses, banks, logistics firms and remote analytics teams recruit freshers who can demonstrate SQL, a BI tool and project work. Indicative starting pay is about ₹3–6 LPA.

What is the salary of a data analyst in Moradabad?

Indicative figures are ₹3–6 LPA at entry, ₹6–10 LPA at mid-level and ₹10–15 LPA for senior analysts. Moradabad roles may pay less than NCR or remote positions, and Uncodemy does not guarantee any salary.

What job roles can I apply for after this course?

Most begin with a Data, MIS or Business Analyst designation — sometimes inside an export house. Subsequent moves commonly lead to BI development, reporting management, product or marketing analytics, and operations analysis.

Who is eligible for this Data Analytics course?

Graduates of any discipline are eligible, without prior coding or analytics experience. Final-year students, working professionals, exporting-family members and career changers are welcome.

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

They are not. These figures come from internal placement data and independent review platforms, both periodically revised. Each participant's result reflects ability, experience, city, employer and timing, while EMI eligibility is determined by the lender.

Is classroom training available in Moradabad?

No. Uncodemy operates classrooms only in Delhi and Noida, so Moradabad participants attend the same batches online. Visitors to Delhi will find the centre in Shakarpur Extension near Nirman Vihar Metro.

Which companies hire Uncodemy learners?

Over 850 employers participate — upGrad, HSBC, Genpact, Clarivate and Fiserv among them. Documented hires include Business Analysts at Fiserv and HSBC, a Genpact Process Developer Analyst and an Intellectual Property Analyst at Clarivate.

Student Project For Data Analytics

Real projects from past batches — open the code on GitHub, see who mentored it, then try the Moradabad version on each card using data from Moradabad & Western UP.

UncodemyDATA ANALYTICS

Sales Analysis Dashboard

Sales records are standardised in SQL Server and presented in an interactive Power BI dashboard with maps, trend lines and drill-down pivots, each element linked to a stated requirement.

Moradabad version: Run the same SQL Server + Power BI pipeline on brass and metal handicraft exports sales from Moradabad and compare months, products and outlets.

PythonExcelPower BISQL
Ms. Rachna VermaMs. Rachna VermaData Analytics Trainer
Sagar Bajirao ShembadeSagar Bajirao ShembadeData Analyst
UncodemyDATA ANALYST

Music Store Analysis

Participants model an online music retailer in PostgreSQL via PgAdmin4, then interrogate it with SQL to rank genres by revenue, isolate repeat buyers and estimate expansion potential.

Moradabad version: Model a plating units catalogue the same way and rank items, customers and areas of Moradabad & Western UP by revenue.

Power BIDAXCSVGitHub
Dr. Vijay K. GuptaDr. Vijay K. GuptaMD & CEO
Ankit SinghAnkit SinghData Analyst
UncodemyDATA ANALYTICS

Covid 19 Pandemic Analysis

COVID-19 data is cleaned, profiled and visualised in Jupyter with Pandas, NumPy and Matplotlib to document infection waves and regional differences.

Moradabad version: Clean and chart public health or footfall data for Moradabad & Western UP with the same Pandas and Matplotlib workflow.

PythonPandasJupyter NotebookGitHub
Mr. Upendra Kumar TiwariMr. Upendra Kumar TiwariSenior Data Science Trainer
Shruti SaxenaShruti SaxenaData Analyst
UncodemyDATA ANALYTICS

Company Insights 360°

Python, SQL and Power BI are integrated into a reporting pack covering workforce, revenue and productivity for a fictional enterprise.

Moradabad version: Build a scorecard of export finance and logistics employers around Moradabad — size, hiring trend and pay bands — with SQL and DAX.

PythonSQLPower BIDAX
Ms. Rachna VermaMs. Rachna VermaData Analytics Trainer
Rajat KashyapRajat KashyapData Analyst
UncodemyDATA ANALYTICS

IPL Analysis Dashboard

IPL scorecards spanning several seasons are processed from CSV into statistical summaries and more than 44 charts on players, venues and teams.

Moradabad version: Swap IPL data for brass and metal handicraft exports seasonality in Moradabad and show peaks, slumps and outliers in one dashboard.

PythonJupyter NotebookPower BISQL
Mr. Upendra Kumar TiwariMr. Upendra Kumar TiwariSenior Data Science Trainer
Pawan MehraPawan MehraData Analyst

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