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Data Analytics Course in Nellore with Gen AI & Placement Assistance

Drive out of Nellore in any direction and you pass shrimp ponds, hatcheries, paddy fields famous for fine rice, and the cranes of Krishnapatnam port on the horizon. Aquaculture exporters, rice millers, power plants and port operators here all deal with numbers that change with the tides and the seasons — stocking density, feed ratios, harvest weights, vessel schedules. Uncodemy's Data Analytics Course helps Nellore learners make sense of those numbers through 6–7 months of live online classes in Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI.

There is no Uncodemy branch on the Nellore coast. The institute teaches face to face only at Noida and at Delhi's Shakarpur Extension, where its building neighbours DSEU Ambedkar College near Nirman Vihar and Laxmi Nagar Metro Stations. Learners here attend those batches through a live screen and receive more than 120 learning hours, over 75 trainer-led sessions, hands-on projects and a mentor for placement. ₹17,500 is the fee; GST at 18% brings it 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 NelloreLive Online (classroom only at Delhi & Noida centres)
EMIFrom ₹4,032/month

Program Details

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

Nellore learners spend six to seven months in live online classes on Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI, applying them to shrimp-farm, rice-mill, port and hospital datasets, with mentor reviews along the way and interview practice at the end.

  • 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 Nellore — 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

On finishing, a Nellore learner can take a pond-wise harvest log, a mill's paddy procurement book or a port's cargo report and deliver a clean, analysed and well-argued result with the most suitable tool. Eligible learners then apply for analyst roles after career prep; several logged outcomes are 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. Nellore 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 Nellore shrimp farmer feeds ponds daily, checks water quality, watches for disease and decides when to harvest; each choice affects how many tonnes reach the processing plant and at what count size. Data analytics helps by cleaning those daily records, spotting patterns with statistics and charting the results so farmers, feed suppliers and exporters can act early. Rice millers, power companies, hospitals and banks across the district apply the same approach.

What does a data analyst do?

In Nellore, an analyst might query farm-management or ERP data with SQL, correct missed entries and inconsistent pond codes, compare ponds, batches or months in Excel or Python, create a Power BI or Tableau dashboard and then sit with an aqua consultant, mill owner, port planner or hospital manager to discuss what to change.

Data Analytics vs Data Science vs Business Analytics

Take a shrimp exporter. Analytics shows why last season's survival rate fell; data science predicts harvest volumes and count sizes for the coming crop; business analytics advises on procurement, processing schedules and buyer allocation.

Aspect

Data Analytics

Core question
What happened, and why?
Coding depth
Low to moderate
Typical entry salary
₹3–6 LPA
Time to job-ready
6–7 months

Data Science

Core question
What will happen next?
Coding depth
High
Typical entry salary
₹8–18 LPA
Time to job-ready
9–12 months

Business Analytics

Core question
What should the business do?
Coding depth
Low
Typical entry salary
₹4–7 LPA
Time to job-ready
5–6 months

These salary bands are indicative first-job ranges taken from the sources noted; actual offers along the coast depend on the employer, the role, your skills and experience, and the time of year.

Course Overview

The Nellore schedule runs 6–7 months, with 75-plus live lectures and over 120 hours of learning. Spreadsheets and SQL open the course; Python, statistics, data cleaning and exploratory work form its middle; Power BI, Tableau and Generative AI close it. Pond, mill and port data appear throughout, a guided build rounds off each phase, and your capstone becomes the centrepiece you present to recruiters.

Who should join this course:

  • Nellore, Kavali and Gudur learners who want live classes without moving to Chennai or Hyderabad.
  • Graduates of Vikrama Simhapuri University, Narayana and other engineering and medical colleges, and local degree colleges — any stream.
  • Technicians and supervisors at shrimp farms, hatcheries, feed and processing plants who already keep daily logs.
  • Staff at rice mills, the port, power plants, hospitals and banks hoping to move into analysis.
  • Farm-office and mill clerks who log feed, harvests or paddy weights in Excel and now want SQL, scripting and dashboards.

Eligibility: You need a bachelor's degree in any subject (details on the eligibility criteria page). We begin SQL and Python at the absolute basics, so no coding experience is required. Some comfort with numbers helps, and the statistics module rebuilds key ideas. A laptop with 8GB RAM and a reliable internet connection is recommended.

Upcoming Data Analytics Course Batches in Nellore

Live batches run on weekdays and at weekends, timed around college schedules, pond feeding rounds and mill shifts. A free online demo is open to anyone who wants to try a class first.

DateTimeTrainerSeats Left

Weekdays

  1. 19 Oct02:00 PM – 03:00 PMMr. Upendra02 Seats
  2. 02 Nov10:30 AM – 11:30 AMMs. Rachna01 Seat
  3. 09 Nov12:00 PM – 01:00 PMMr. Abhi02 Seats
  4. 16 Nov07:30 PM – 08:30 PMMr. Rahul01 Seat

Weekends

  1. 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 Nellore

The 120-plus hours unfold across nine modules that track a real brief from start to finish — gathering records, correcting them, analysing them, interpreting results, charting them and reporting to whoever asked. Each module closes with a scored practical on authentic data, and module nine gathers your best work 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
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 Nellore

When the ninth module, every assignment and the capstone are complete, Uncodemy issues the Data Analytics Program Certificate to Nellore learners, recording the course title, its length, the tools mastered, the finish date and a code for verification.

Recruiters want to see evidence of skill, so your certificate is backed by a set of graded spreadsheet, SQL, Python, statistics, BI and Gen AI assignments and a capstone project you planned and completed yourself.

Key Benefits of Our Data Analytics Certification:

  • Program Completion: Shows the full Nellore batch course was completed.
  • Online Verification: Employers can verify its reference on the portal.
  • Practical Learning: Grounded in graded assignments and your own capstone.

A recruiter in Nellore, Chennai or anywhere else can confirm a learner's credential through Uncodemy's online portal in a few seconds.

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 run by Uncodemy Edutech Pvt. Ltd., with every course designed around helping learners find work. It teaches classroom batches in Delhi and Noida and live online batches for Nellore and the rest of India. Learners include beginners, graduates, freshers and working professionals.

Over the months, spreadsheets, SQL, Python, statistics, Power BI, Tableau and Gen AI are applied to genuine datasets as projects — the same tasks an analyst performs at a shrimp processor's planning desk, a rice mill's procurement office, a port's operations room or a hospital's records section. The module list is published before you enrol.

Along with the live classes, you get mentor support, graded practice work, project reviews, mock interviews and job alerts. We give you the career support policy in writing before you pay, so it's clear what help is included, what isn't and who can use it.

Other courses for Nellore learners

If you're more interested in AI, Machine Learning, Data Science or Business Analysis, you can join those as live online courses with Uncodemy from Nellore.

Enroll in Our Data Analytics Training in Nellore Today!

Start your analytics career from Nellore: join the live online classes, work with aquaculture, rice and port datasets, put together a strong portfolio and get ready for analyst jobs on the coast, in Chennai, in Hyderabad or with remote teams.

Data Analyst Jobs and Career Scope in Nellore & the Andhra coast

Nellore is one of India's leading aquaculture districts. Shrimp farms, hatcheries, feed manufacturers, processing plants and exporters track stocking, feed conversion, water quality, harvest weights and shipments — data that directly affects profit and export quality. The district's paddy and rice-milling industry, known for fine varieties, adds procurement, milling-yield and sales data.

Krishnapatnam port handles coal, containers and agricultural cargo; thermal power plants and industrial units nearby run large operations; and Sriharikota's space centre lies a short drive away, supporting a network of service companies. Hospitals and medical colleges, Vikrama Simhapuri University, banks and cooperatives create further reporting work.

Chennai is about three hours south and Hyderabad is well connected, while remote analytics roles are increasingly common. Throughout, SQL and a BI tool are expected; recruiters choose candidates who can frame the business question, pick the right measure and explain the recommendation clearly.

Job Roles After This Course

After the course, Nellore learners usually look for Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst jobs. Whether it's an exporter tracking count sizes, a mill watching outturn or a port measuring vessel delays, the work is done with SQL, spreadsheets and a 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

Most Nellore freshers begin as Data, MIS or Business Analysts — often at an exporter, mill or port service company — and after two to four years specialise in supply-chain, production, BI or operations analytics, advanced by the complete pieces of work they delivered.

Data Analyst Salary in Nellore — Experience-wise

Analyst pay around Nellore moves with experience, sector and real depth in SQL and BI, and the spread inside a single title can be wide. If your skills stop at charts, expect a lower start; add efficient queries, clear problem framing and a confident recommendation, and you'll start higher and climb 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.

Farms and mills in the district often open below Chennai or Hyderabad packages, while large exporters, port operators and work-from-home employers can reach higher within each bracket. Treat these figures as indicative — they move with role, ability, experience, city, employer and season — and note that no salary or placement is assured.

Top Hiring Sectors for Data Analysts in Nellore & the Andhra coast

Uncodemy's hiring network covers more than 850 companies across India. For Nellore learners, analyst work is found mainly in:

  1. Aquaculture — stocking, feed conversion, water quality, harvest and export analytics

  2. Rice milling and agri-trade — paddy procurement, milling yield and sales reporting

  3. Ports, power and industry — cargo, turnaround, energy and maintenance dashboards

  4. Healthcare, education and banking — patient-flow, admissions and credit analysis

  5. Chennai and Hyderabad offices or work-from-home teams — analytics openings outside the district

An aqua exporter, a rice mill and a port operator each test different strengths, so decide which you're aiming for and shape your portfolio projects to match.

How to Become a Data Analyst — Step by Step

Analytics skill builds like a shrimp crop — stage by stage, from seed to harvest. Skip a stage and the yield suffers, usually in a technical interview or your first months on the job.

  1. 1

    Seed stage, Excel — practise XLOOKUP, pivot tables and Power Query until a pond-wise feed summary or a variety-wise paddy report takes minutes.

  2. 2

    Nursery stage, SQL — joins between ponds, feed and harvests, grouped totals, subqueries and window functions.

  3. 3

    Grow-out, Python — Pandas and NumPy for daily farm logs and automated reports.

  4. 4

    Water-quality checks, statistics — learn distributions, sampling error, significance tests and regression so a farm consultant trusts that a survival-rate change is genuine.

  5. 5

    Harvest, one BI tool — Power BI with DAX or Tableau with calculated fields, polished until an aqua consultant can read pond trends on a phone at the farm gate.

  6. 6

    Processing, a portfolio — three to five projects, perhaps feed-conversion drivers, rice outturn by variety or vessel waiting times, each closing with a recommendation.

  7. 7

    Export, the job hunt — time your SQL practice, explain mock business cases out loud and update your CV so each project shows a clear before-and-after result.

Most Nellore learners need six to seven months of steady practice — roughly the length of one shrimp crop — to become interview-ready.

How This Course Compares to Other Data Analytics Courses in Nellore

Nellore learners can find many analytics courses at very different prices, often based in Chennai or Hyderabad. Here is exactly what Uncodemy's program includes.

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 course takes six to seven months and covers more than ten tools because a junior analyst today is often asked to clean data in Excel, pull it with SQL, automate part of the job in Python and present it on a dashboard. If you only need a quick Excel and Power BI refresher, a cheaper recorded course might be enough.

Online vs Offline vs Hybrid — Which Should You Choose?

Syllabus, trainers, projects and fee are the same in every format. From Nellore, live online classes are the practical choice — real-time teaching at home, quick doubt-clearing and timings around college, farm work or plant shifts.

Since Uncodemy's only classrooms are in Noida and at Shakarpur in Delhi — about 1,800 km away — hybrid attendance isn't practical for Nellore. Remote study carries the same entitlements: live instruction, recordings, doubt clinics and the complete placement programme, with progress kept intact if a permitted format change is made.

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 Nellore

Who you will learn from in Nellore. Live sessions for Nellore 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 Nellore & the Andhra coast often work with aquaculture, Krishnapatnam port logistics and rice and agri-trade 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. 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.

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.

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 Nellore?

Plan on six to seven months, about the length of one shrimp crop. You'll attend more than 75 live online classes, totalling over 120 hours, in a weekday or weekend batch that leaves room for pond work, plant shifts or college.

Can I learn data analytics without a coding background?

That's the norm here, not a hurdle. Plenty of Nellore learners hold B.Sc aquaculture, B.Com or BA degrees and have never coded; the SQL track begins with a single SELECT, Python with a variable, and Excel plus SQL fill the first couple of months.

What tools are covered in this course?

Think of it as a well-stocked feed store of ten-plus tools: SQL, Pandas, NumPy and core Python for handling data; Statistics for reading it; Power BI, Tableau and Excel for showing it; and Copilot plus ChatGPT for the repetitive chores.

Does the course include a Gen AI module?

Module 8 devotes eight hours to Gen AI. You'll learn to brief an assistant on a farm or port dataset, check whether the SQL or Python it hands back is sound, use Copilot inside Excel and Power BI, and discard numbers that don't survive a sanity check.

How many projects will I complete?

Six pieces in all: guided builds on retail, banking, HR, e-commerce and hospital data, and one capstone of your own. Pond survival rates or rice-mill outturn would make a memorable Nellore capstone.

Are the classes live or pre-recorded?

Classes happen live, every one of the 75-plus; your trainer answers questions in real time and the recording is posted later. One syllabus serves remote, classroom and hybrid learners alike.

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

Learners on the Nellore coast pay a single figure, ₹20,650 — the ₹17,500 course fee with 18% GST added. Notes, project feedback, certification and placement help cost nothing extra, and an EMI plan can begin at ₹4,032 a month.

Are EMI options available?

EMI options open at ₹4,032 per month; tenure, final amount and approval are fixed with the finance partner, and your counsellor handles the steps.

Is there a demo class before I enrol?

Yes — reserve a free trial class from Nellore, watch a trainer teach live, ask your questions and skim the module plan before committing.

Do you provide placement assistance?

Our placement team refreshes your CV and LinkedIn, critiques your portfolio, runs mock interviews and passes on openings from 850-plus recruiters. Because each employer makes its own hiring decision, nobody can promise a job.

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

Yes — shrimp exporters, feed and processing plants, rice mills, port service firms and remote analytics teams regularly hire freshers who can show SQL, a dashboard tool and finished projects. First salaries typically fall around ₹3–6 LPA.

What is the salary of a data analyst in Nellore?

Indicative ranges: freshers about ₹3–6 LPA, a few years in roughly ₹6–10 LPA, seniors around ₹10–15 LPA. Nellore jobs often pay a step below Chennai or Hyderabad for the same title; Uncodemy won't promise a number.

What job roles can I apply for after this course?

The usual first designation is Data, MIS or Business Analyst; later on, Nellore alumni move toward supply-chain analytics, BI engineering, production planning or operations roles.

Who is eligible for this Data Analytics course?

A completed degree in any subject is the only requirement. No coding or analytics background is assumed; batches mix college finalists, farm and mill staff, and career changers.

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

No — they're estimates, like a pond's expected harvest. They come from our placement records and public review platforms, which change over time; individual results depend on skill, background, location, employer and market, and the lender decides EMI eligibility.

Is classroom training available in Nellore?

No. Uncodemy's only physical classrooms are in Delhi and Noida, so learners from Nellore attend the same batches live online. If you happen to be in Delhi, the centre is in Shakarpur Extension, a short walk from Nirman Vihar Metro.

Which companies hire Uncodemy learners?

Our hiring network includes more than 850 companies, such as upGrad, Fiserv, Clarivate, Genpact and HSBC. Past learners have joined HSBC and Fiserv as Business Analysts, Genpact as a Process Developer Analyst and Clarivate as an Intellectual Property Analyst.

Student Project For Data Analytics

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

UncodemyDATA ANALYTICS

Sales Analysis Dashboard

Learners take a supermarket chain's raw till records, clean them with SQL Server and lay them out in Power BI so managers can compare outlets, weeks and product groups on a single page.

Nellore version: Run the same SQL Server + Power BI pipeline on aquaculture sales from Nellore 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

From a simple entity sketch, learners build an online music shop's PostgreSQL tables in PgAdmin4 and query them to see which genres earn and which customers keep coming back.

Nellore version: Model a rice and agri-trade catalogue the same way and rank items, customers and areas of Nellore & the Andhra coast by revenue.

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

Covid 19 Pandemic Analysis

India's COVID-19 series becomes practice in handling patchy public data — gaps filled in Pandas, rates worked out with NumPy and state-wise waves drawn in Matplotlib.

Nellore version: Clean and chart public health or footfall data for Nellore & the Andhra coast 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 joined into a monthly pond-harvest, revenue and labour report for an imaginary shrimp-export company.

Nellore version: Build a scorecard of Krishnapatnam port logistics employers around Nellore — 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

Learners mine many IPL seasons for patterns — death-over economies, venue effects, chasing success — and present them in more than 44 charts.

Nellore version: Swap IPL data for aquaculture seasonality in Nellore 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

Why Trust This Page? Discover Why Students Choose Uncodemy

  • Course curriculum verified by Mr. Irshad Khan.
  • Technical content verified by Mr. Upendra Kumar Tiwari.
  • Fee verified by Admin Department.
  • Placement figures sourced from internal placement records.
  • Review counts verified against respective third-party platforms.