4.8 LPAHyderabadAnkit Singh
Data Analyst
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- Data Analytics Batch
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- DA/09/0823/S WD 7PM
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Read More →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.
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.
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.
4.8 LPAHyderabadData Analyst
4.8 LPAIndiaData Analyst
4.0 LPADelhiData Analyst
3.25 LPAPuneData Analyst
3.0 LPANoidaData Analyst
3.0 LPADelhiData Analyst
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.
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.
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.
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.
| 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 salaries shown are rough brackets taken from the referenced sources; real offers move with company, title, skill level, experience, city and hiring cycle.
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.
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.
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.
Seats are limited and updated daily. All timings are in IST.
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 | 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 |
Irshad Khan — Senior Trainer, 8+ Years Experience. Specialization: Data Science, Data Analytics, Business Analyst, SQL, Power BI, Python, Generative AI, Agentic AI.
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.
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
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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.
Moradabad participants may also enrol in Uncodemy's live online programs in AI, Machine Learning, Data Science or Business Analysis.
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.
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.
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.
| 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 |
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.
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 / Role | Indicative Salary Range |
|---|---|
| Entry-Level Data Analyst | ₹3–6 LPA |
| Data Analyst (Mid-Level) | ₹6–10 LPA |
| Senior Data Analyst | ₹10–15 LPA |
| Business Intelligence Analyst | ₹7–12 LPA |
Sources reviewed: AmbitionBox, Glassdoor, Indeed and Uncodemy placement records. Reviewed: 12 October 2026.
Local 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.
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.
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.
Spreadsheet command — XLOOKUP, pivot tables and Power Query, so buyer-wise, SKU-wise or month-wise summaries take minutes.
Query fluency — SQL joins between order, shipment and payment tables, grouped totals, subqueries and window functions; this is where most technical rounds begin.
Python for volume — Pandas and NumPy for multi-year export data, together with scripts that regenerate monthly MIS automatically.
Statistical judgement — distributions, sampling, significance tests and regression output, so pricing or reorder conclusions withstand scrutiny.
Dashboard delivery — Power BI with DAX or Tableau with calculated fields, finished to a report a proprietor can explore unaided.
Trade-relevant portfolio — three to five projects, such as buyer-wise margin analysis or shipment-delay causes, each closing with a recommendation.
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.
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.
| 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 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.
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.
| 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 |
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.

Data Analytics Trainer
Expertise3+ 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.
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.

Data Analytics Trainer
Expertise14+ 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.
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.

Data Analytics Trainer
Expertise5+ 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.
Credit risk management analytics at Tech Mahindra, business communications analytics, and chatbot solutions built with prompt engineering and machine learning.

Senior Data Science Trainer
Expertise15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.

Data Analytics & AI Trainer
Expertise8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.

Data Analytics & AI Trainer
Expertise7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
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.

Data Analytics Trainer
Expertise5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.

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

MD & CEO
ExpertiseFounder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.

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