#1 India's Top IT Training Institute

×

About Uncodemy

Know more about who we are and what we stand for.

About Us

About Us

Discover our mission to equip individuals with essential IT skills and industry expertise.

Read More →
UnCodeMy Gallery

UnCodeMy Gallery

Explore highlights from our IT training sessions and success stories.

Read More →
×

Free Resources

Learn, practice and plan your career — bilkul free.

Tutorials

Tutorials

Step-by-step written tutorials to learn any technology at your own pace.

Read More →
Free Counselling

Free Counselling

Book a free video counselling session and pick the right course for you.

Read More →
Online Compiler

Online Compiler

Write, run and test your code online — no setup required.

Read More →

Data Analytics Course in Kurnool with Gen AI & Placement Assistance

Kurnool — once the first capital of Andhra State — now sits beside one of the world's largest solar parks, a growing cement belt, a major seed industry and the groundnut and cotton fields of western Rayalaseema. Sunlight, limestone and soil are its resources; data is fast becoming another. Panel output, kiln readings, seed germination rates and mandi prices all need people who can interpret them. Uncodemy's Data Analytics Course trains Kurnool learners for that work through 6–7 months of live online classes in Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI.

There is no Uncodemy centre in Rayalaseema's gateway city. The institute's two classrooms are in Noida and in Delhi's Shakarpur Extension, where the building stands beside DSEU Ambedkar College and near the Nirman Vihar and Laxmi Nagar Metro Stations. Kurnool learners are seated in those batches virtually and get 120-plus learning hours, more than 75 trainer-led classes, practical assignments and a placement mentor. Course fee: ₹17,500, which with 18% GST becomes ₹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 KurnoolLive Online (classroom only at Delhi & Noida centres)
EMIFrom ₹4,032/month

Program Details

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

Picture the six to seven months as commissioning a new solar block: Excel and SQL are the mounting structures, Python and statistics the wiring, and Power BI, Tableau and Gen AI the inverters that turn raw data into usable output — all taught live online. Practice files come from solar parks, kilns, seed plants and mandis, a mentor inspects each stage, and the final weeks are your performance test: mock interviews.

  • 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 Kurnool — 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

Graduates leave able to take an inverter log, a kiln shift sheet or a seed-lot germination register and turn it into a clean, analysed and well-reasoned report using whichever tool fits. Eligible graduates move on to analyst applications after career preparation; selected outcomes are listed 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. Kurnool 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 solar park produces a reading every few minutes from thousands of inverters; a cement kiln logs temperature, fuel and clinker output every shift; a seed company tests germination for every lot it ships. Left alone, those figures say little. Data analytics brings them into focus — cleaning the records, testing what they reveal with statistics and showing the outcome as charts that explain where power is lost, why quality varies or which lots to recall. Hospitals, banks and traders in Kurnool use the same method for their own questions.

What does a data analyst do?

In a Kurnool workplace, an analyst may query SCADA exports or ERP tables using SQL, remove duplicate readings and fill gaps, compare blocks, kilns or seed varieties in Excel or Python, build a

Power BI or Tableau dashboard and then discuss results with a plant engineer, production head, quality manager or agri-trader.

Data Analytics vs Data Science vs Business Analytics

Consider a solar power plant. Analytics explains why output dipped last April; data science forecasts generation for the coming month; business analytics recommends cleaning cycles, maintenance windows and grid-scheduling strategy.

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 listed are rough brackets from the cited sources; like a plant's capacity utilisation, the real figure varies with employer, role, skill, experience and season.

Course Overview

Course rating: 6–7 months, 75-plus live online lectures, over 120 learning hours. Installation order: Excel and SQL; then Python, statistics, cleaning and exploratory work; then Power BI, Tableau and Generative AI. Solar, cement and seed datasets feature throughout, a guided build closes each phase, and your capstone is the flagship array of your portfolio.

  • Kurnool, Nandyal and Adoni learners who want live teaching without leaving Rayalaseema for Hyderabad or Bengaluru.
  • Graduates of Rayalaseema University, IIITDM Kurnool, G Pulla Reddy Engineering College and other institutions — any stream — pursuing analytics.
  • Shift engineers and technicians at solar parks, cement plants and seed-processing units who already handle operational records.
  • Staff at cotton and groundnut traders, hospitals, banks and government offices aiming to move into analysis.
  • SCADA operators, weighbridge clerks and seed-lab assistants who log readings in Excel and now want queries, Python and dashboards.

Upcoming Data Analytics Course Batches in Kurnool

Weekday and weekend live batches are available, timed so college students, plant shift staff and office employees in Kurnool can each attend. A free online demo class can be booked before enrolment.

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 Kurnool

Across nine modules and 120-plus hours, lessons trace a real analysis from sunrise to sunset — capturing readings, filtering noise, analysing, interpreting, charting and reporting to the site head. Each module closes with a marked practical on authentic data, and module nine assembles your portfolio.

Module 1: Excel for Data Analytics — 12 Hours

  • Advanced formulas: VLOOKUP, XLOOKUP, INDEX-MATCH, SUMIFS, COUNTIFS, nested IF
  • Data cleaning: text functions, Find & Replace, Flash Fill, removing duplicates
  • Pivot Tables, PivotCharts, Slicers and Timelines
  • Power Query for importing and transforming data
  • Data validation, conditional formatting and dashboard design
  • Charts: histogram, Pareto, combo, waterfall

Module 2: SQL & Database Management — 18 Hours

  • Relational database concepts, ER diagrams, normalisation
  • SELECT, WHERE, ORDER BY, GROUP BY, HAVING
  • All join types: inner, left, right, full outer, self, cross
  • Subqueries and Common Table Expressions
  • Window functions: ROW_NUMBER, RANK, LEAD, LAG
  • Connecting SQL databases to Python

Module 3: Python for Data Analytics — 20 Hours

  • Python fundamentals: variables, data types, loops, functions
  • Lists, tuples, dictionaries, sets, file operations
  • NumPy: arrays, vectorised operations, broadcasting
  • Pandas: Series, DataFrames, indexing, filtering, merging, grouping
  • Handling missing values and duplicates
  • Matplotlib, Seaborn and Jupyter Notebook

Module 4: Statistics & Business Mathematics — 12 Hours

  • Descriptive statistics: mean, median, variance, standard deviation
  • Probability fundamentals and data distributions
  • Sampling methods and the Central Limit Theorem
  • Hypothesis testing: p-values, confidence intervals, t-tests, chi-square, ANOVA
  • Correlation and regression basics
  • A/B testing in a business context

Module 5: Data Cleaning & Exploratory Data Analysis — 12 Hours

  • Data quality assessment and profiling
  • Handling missing values: deletion, imputation, flagging
  • Outlier detection and treatment
  • Feature creation and binning
  • Univariate, bivariate and multivariate analysis
  • Correlation heatmaps and structuring an EDA report

Module 6: Power BI — 18 Hours

  • Connecting to Excel, SQL, CSV and web sources
  • Power Query Editor, data modelling and relationships
  • DAX: calculated columns, measures, time intelligence
  • Visual types, filters, slicers, bookmarks and drill-through
  • Publishing to Power BI Service and scheduling refresh
  • Row-level security basics

Module 7: Tableau — 10 Hours

  • Tableau architecture, data connection and blending
  • Dimensions, measures and calculated fields
  • Filters, groups, sets and hierarchies
  • Parameters and dynamic controls
  • Reference lines, trend lines and forecasting
  • Dashboards, actions and stories

Module 8: AI & Gen AI for Data Analysts — 8 Hours

  • Prompt engineering for data tasks
  • Generating and debugging SQL and Python with AI assistance
  • Copilot in Excel and Power BI
  • AI-assisted insight summaries and report drafting
  • Verifying AI output: hallucinations, wrong aggregations, false confidence
  • Data privacy and what should never be pasted into a public AI tool

Module 9: Capstone Projects & Career Preparation — 10 Hours

  • End-to-end capstone project on a real business dataset
  • Building a GitHub portfolio and dashboard showcase
  • Analyst resume writing and LinkedIn optimisation
  • SQL and case-study interview practice
  • Mock interviews with feedback
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 Kurnool

Once every module, assignment and the capstone clear inspection, Uncodemy issues your Data Analytics Program Certificate — showing course name, months of study, tools learned, completion date and a lookup code that works like an asset tag.

Solar developers, cement producers and seed companies prefer evidence to promises, so the certificate is supported by graded spreadsheet, SQL, Python, statistics, BI and Gen AI work and a capstone that solves a complete business problem.

Key Benefits of Our Data Analytics Certification:

  • Program Completion: Confirms that every Kurnool batch module was completed.
  • Online Verification: Its reference permits a quick online check.
  • Practical Learning: Earned through delivered builds rather than attendance.

Whether a solar developer, a cement producer or a Hyderabad firm, any recruiter can confirm a Kurnool learner's credential on Uncodemy's portal within moments.

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 managed by Uncodemy Edutech Pvt. Ltd., and each of its programmes is designed with employment as the goal. Classroom groups meet in Delhi and Noida, and live online groups extend identical instruction to Kurnool and all parts of India. Learners include beginners, graduates, freshers and serving professionals.

Inside the course, spreadsheets, SQL, Python, statistics, Power BI, Tableau and Gen AI are applied to genuine datasets as projects — the same work an analyst does at a solar O&M desk, a cement plant's process office, a seed company's QA lab or a Kurnool hospital's records section. The module list is published before you enrol.

Teaching is reinforced by mentor sessions, graded exercises, project reviews, mock interviews and career guidance. The career support policy, issued in writing before enrolment, explains the help on offer, its limits and who qualifies.

Other courses for Kurnool learners

Learners in Kurnool who are interested in AI, Machine Learning, Data Science or Business Analysis may enrol in those live online programmes with Uncodemy.

Enroll in Our Data Analytics Training in Kurnool Today!

Switch on from Kurnool: stream live lectures, practise on generation, kiln and seed data, assemble a portfolio and connect with analyst roles in Rayalaseema, Hyderabad, Bengaluru or remote teams.

Data Analyst Jobs and Career Scope in Kurnool & Rayalaseema

Kurnool district hosts one of the largest solar parks anywhere, alongside wind farms and transmission infrastructure that generate continuous performance data. Developers, operations-and-maintenance contractors and grid operators need analysts to track generation, soiling losses, inverter faults and availability. The limestone belt around Nandyal and Banaganapalle supports several large cement plants with their own production, energy and logistics reporting.

The district is also a seed hub: hybrid cotton, chilli and vegetable seed companies process and test lots here, while groundnut, cotton and onion trading through Kurnool and Adoni markets generates arrivals and pricing data. Hospitals, banks, government departments and educational institutions add further demand for MIS and analytics skills.

Hyderabad and Bengaluru are each a few hours away, and remote analytics roles are common. Across employers, SQL and a BI tool are expected; those who succeed can frame the business question precisely, choose a suitable metric and explain the recommendation clearly in Telugu, Kannada, Hindi or English.

Job Roles After This Course

Kurnool graduates generally target Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst vacancies. A solar operator asks why one block under-generates, a cement plant why kiln fuel use crept up, a seed company which lots failed germination — and each answer flows from 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

Kurnool freshers generally enter as Data, MIS or Business Analysts and progress within two to four years into BI, energy, production, supply-chain or operations analytics, on the strength of complete analyses and a growing grasp of their sector.

Data Analyst Salary in Kurnool — Experience-wise

An analyst's earnings depend on experience, sector and practical command of SQL and BI, and pay for the same designation can vary considerably. Profiles limited to charts tend to begin lower; those who can also write efficient queries, structure problems and argue a reasoned recommendation begin higher and move ahead 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.

Solar developers and large cement groups commonly pay around mid-bracket; traders and smaller local firms may open lower; Hyderabad, Bengaluru and work-from-home roles can go higher. These are illustrative figures that shift with role, ability, experience, city, employer and market — Uncodemy assures neither pay nor placement.

Top Hiring Sectors for Data Analysts in Kurnool & Rayalaseema

Uncodemy's hiring network includes more than 850 companies across India. For Kurnool learners, analyst opportunities concentrate in:

  • Solar and wind energy — generation, soiling-loss, inverter-fault and availability analytics

  • Cement and limestone — kiln performance, energy, quality and dispatch reporting

  • Seeds and agri-trade — lot germination, processing yield, groundnut and cotton price tracking

  • Healthcare, banking and public administration — patient-flow, credit and scheme dashboards

  • Hyderabad and Bengaluru offices or work-from-home teams — analytics openings beyond the Tungabhadra

A solar O&M contractor, a cement works and a seed processor will each test different strengths, so decide early which you want and wire your portfolio accordingly.

How to Become a Data Analyst — Step by Step

Analytical skill accumulates the way a solar array does — panel by panel, each one adding to the output. Leave gaps and the system underperforms, usually exposed in a technical interview or the first months on the job.

  1. 1

    Excel proficiency — XLOOKUP, pivot tables and Power Query for block-wise or kiln-wise summaries in minutes.

  2. 2

    SQL fluency — joins across readings, assets and maintenance logs, grouped totals, subqueries and window functions.

  3. 3

    Python capability — load months of minute-level inverter data into Pandas, crunch it with NumPy and let a script produce the daily generation report automatically.

  4. 4

    Statistical reasoning — sampling, hypothesis testing and regression so generation or quality conclusions can be defended.

  5. 5

    BI delivery — Power BI with DAX or Tableau with calculated fields, tuned until a site manager can spot an underperforming string on the dashboard at a glance.

  6. 6

    A Rayalaseema portfolio — three to five projects, such as soiling-loss analysis or seed-lot quality trends, each ending in a recommendation.

  7. 7

    Interview preparation — timed SQL practice, case rehearsal and a CV and LinkedIn that quantify outcomes.

Most Kurnool learners reach interview standard after six to seven months of steady study; regular daily practice yields more than intermittent long sessions.

How This Course Compares to Other Data Analytics Courses in Kurnool

Kurnool learners can choose from many analytics courses at markedly different prices, most based in Hyderabad or Bengaluru. The summary below lists what this programme provides.

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

Six to seven months and ten-plus tools may look like oversizing, but a junior at a solar park or cement plant is regularly asked to clean data in Excel, pull it with SQL, automate in Python and present on a dashboard. Recorded courses cost less, and someone needing only an Excel and Power BI refresh could choose one.

Online vs Offline vs Hybrid — Which Should You Choose?

Format doesn't change the syllabus, trainers, projects or fee, so choose by convenience. From Kurnool, live online classes are the obvious fit — lectures streamed in real time to your home, doubts cleared immediately and timings that bend around plant shifts, college or field visits.

Uncodemy's physical classrooms are roughly 1,600 km north in Noida and Delhi's Shakarpur area, which rules out hybrid study for Rayalaseema. Remote learners keep every entitlement — live lessons, recordings, doubt clinics and the complete placement service — and an approved change of format carries progress across.

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 Kurnool

Faculty behind the Kurnool batches. Kurnool learners are taught in real time by trainers who also teach in our Delhi and Noida classrooms — same faculty, same syllabus, delivered live online. Senior Trainer Irshad Khan heads the Data Analytics track and signed off its curriculum.

Uncodemy keeps teaching and checking separate: domain reviewer Upendra Kumar Tiwari verifies the content without teaching the batch. In doubt-clearing sessions, trainers often rework examples around cement and limestone and seeds and agri-trade — the kind of data employers in Kurnool & Rayalaseema actually hold.

All trainers and reviewers are published on the Uncodemy trainers page with their domain and experience.

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 Kurnool?

Kurnool batches last six to seven months and include more than 75 live online classes amounting to over 120 hours; learners choose weekday or weekend timings to suit plant shifts or college.

Can I learn data analytics without a coding background?

Programming experience is not assumed. Graduates from commerce, agriculture or arts streams in Kurnool begin SQL with a basic SELECT and Python with simple variables, while the first two months concentrate on Excel and SQL.

What tools are covered in this course?

Your toolkit holds more than ten items: Pandas, NumPy, core Python and SQL for wrangling sensor and sales data; Statistics for inference; Tableau, Power BI and Excel for display; Copilot and ChatGPT to speed routine work.

Does the course include a Gen AI module?

Module 8 provides eight hours on Generative AI — formulating data questions for an assistant, reviewing the SQL or Python it produces, applying Copilot within Excel and Power BI, and identifying unreliable results.

How many projects will I complete?

Six projects form the portfolio: five guided studies across retail, banking, HR, e-commerce and healthcare, plus a capstone of the learner's choosing. Solar-generation or seed-lot data would be well suited to Kurnool employers.

Are the classes live or pre-recorded?

Each of the 75-plus classes is delivered live by a trainer, and recordings are made available for revision; one syllabus governs online, classroom and hybrid formats.

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

For Kurnool learners the total fee is ₹20,650, comprising ₹17,500 and 18% GST; classes, materials, projects, certification and placement support are included, and EMI is available from ₹4,032 a month.

Are EMI options available?

Instalment plans begin at ₹4,032 monthly, with tenure and approval determined by the financing partner and arranged through a counsellor.

Is there a demo class before I enrol?

A complimentary live demo may be attended from Kurnool to observe instruction, put questions to a trainer and review the syllabus before enrolling.

Do you provide placement assistance?

Placement assistance covers CV and LinkedIn revision, portfolio review, mock interviews and openings from more than 850 companies; employers retain the hiring decision, so employment cannot be guaranteed.

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

Freshers are taken on — by solar O&M contractors, cement plants, seed companies, hospitals and remote analytics teams — when they can prove SQL, a dashboard tool and finished projects. Opening salaries generally sit near ₹3–6 LPA.

What is the salary of a data analyst in Kurnool?

Guide numbers: ₹3–6 LPA at the start, ₹6–10 LPA a few years in, ₹10–15 LPA for seniors. Kurnool positions often pay below Hyderabad or Bengaluru for the same title; Uncodemy commits to no figure.

What job roles can I apply for after this course?

Kurnool alumni usually start as Data, MIS or Business Analysts, then progress into energy, BI, production, supply-chain or operations analytics.

Who is eligible for this Data Analytics course?

A finished degree in any subject is all that's required; no programming or analytics background is assumed, and Kurnool batches combine college finalists, plant staff and career switchers.

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

Read them like a plant's projected yield — informative, not guaranteed. They come from our placement records and public review platforms, both updated periodically; actual outcomes depend on skill, background, location, employer and timing, and lenders decide EMIs.

Is classroom training available in Kurnool?

Rayalaseema has no Uncodemy classroom; physical teaching happens only in Delhi and Noida, so Kurnool learners follow identical batches over a live link. When in Delhi, you'll find the Shakarpur Extension office close to Nirman Vihar Metro.

Which companies hire Uncodemy learners?

Upward of 850 recruiters — Fiserv, upGrad, Clarivate, HSBC and Genpact among them. Our records show Business Analysts hired by HSBC and Fiserv, a Genpact Process Developer Analyst and a Clarivate Intellectual Property Analyst.

Student Project For Data Analytics

In analyst hiring, a portfolio says more than a certificate. Below are five learner capstones with their mentors and source code; the Kurnool note on each card suggests how to rebuild it around solar and wind energy.

UncodemyDATA ANALYTICS

Sales Analysis Dashboard

A retail chain's sales records are standardised in SQL Server and presented in Power BI with filters for region, month and category, each chart addressing a stated requirement.

Kurnool version: Run the same SQL Server + Power BI pipeline on solar and wind energy sales from Kurnool 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

Learners create an online music store's PostgreSQL schema in PgAdmin4 from an entity design and query it to find leading genres, recurring customers and growth potential.

Kurnool version: Model a seeds and agri-trade catalogue the same way and rank items, customers and areas of Kurnool & Rayalaseema by revenue.

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

Covid 19 Pandemic Analysis

Learners treat India's COVID-19 record like noisy inverter data — patching gaps in Pandas, computing rates with NumPy and plotting each state's curve in Matplotlib.

Kurnool version: Clean and chart public health or footfall data for Kurnool & Rayalaseema 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 combined into a monthly generation, revenue and maintenance report for an imaginary solar-park operator.

Kurnool version: Build a scorecard of cement and limestone employers around Kurnool — 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

Python | Jupyter Notebook | Power BI | SQL | Mr. Upendra Kumar Tiwari – Senior Data Science Trainer | Pawan Mehra – Data Analyst

Kurnool version: Swap IPL data for solar and wind energy seasonality in Kurnool 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.