Data Analytics Course in Warangal with Gen AI & Placement Assistance

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

The Kakatiya kings built Warangal's thousand-pillared temple stone by stone, each pillar carrying its share of the load. The modern tri-city is built the same way: NIT Warangal and Kakatiya University supply talent, Enumamula market moves chilli, cotton and turmeric, the Kakatiya Mega Textile Park is drawing garment makers, an IT tower at Madikonda hosts software firms and Kazipet junction keeps trains moving. Every pillar produces data. Uncodemy's Data Analytics Course helps Warangal learners carry that load through 6–7 months of live online classes in Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI.

Hanamkonda won't find an Uncodemy building of its own — the institute teaches face to face only at Noida and at Delhi's Shakarpur Extension, near DSEU Ambedkar College and the Nirman Vihar and Laxmi Nagar Metro Stations. Tri-city learners plug into those batches from home and still collect over 120 hours of guided study, more than 75 sessions with a trainer, project work and a mentor for placements. The bill: ₹17,500, or ₹20,650 once GST at 18% is added.

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 WarangalLive Online (classroom only at Delhi & Noida centres)

EMIFrom ₹4,032/month

Program Details

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

Warangal learners raise their skills over six to seven months of live online classes — Excel and SQL as the foundation, Python and statistics as the columns, Power BI, Tableau and Gen AI as the roof — using market-yard, textile, IT-services and hospital data, with a mentor checking the structure and an interview phase as the final inspection.

Learning	120+ Hours
Program Duration	6–7 Months
Live Training	75+ Live Sessions
Technology Coverage	10+ Tools & Technologies
Practical Learning	Hands-on Projects & Case Studies
Program Fee	₹17,500 + 18% GST
Total Fee	₹20,650
EMI	Starting From ₹4,032/Month*
Career Support	Dedicated Career & Placement Assistance
Hiring Network	850+ Companies

Data Analytics Course in Warangal — 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

When the course is complete, a tri-city learner can take an Enumamula commission agent's register, a garment unit's line report or an IT team's ticket export and produce a clean, analysed and convincing summary with the most fitting tool. Eligible learners then apply for analyst roles after career prep; a few logged results are shown.

4.8 LPAHyderabad

Ankit Singh

Data Analyst

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

Read placement record

4.8 LPAIndia

Ashish Butola

Data Analyst

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

Read placement record

4.0 LPADelhi

Rajat Kashyap

Data Analyst

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

Read placement record

3.25 LPAPune

Sagar B. Shembade

Data Analyst

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

Read placement record

3.0 LPANoida

Priyanka Kumari

Data Analyst

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

Read placement record

3.0 LPADelhi

Shruti Saxena

Data Analyst

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

Read placement record

Location badges show where each learner was placed. Warangal 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?

Every trading day at Enumamula, thousands of bags of chilli, cotton and turmeric change hands at prices that shift with quality, arrivals and demand from distant buyers. Traders, farmers and cold-storage owners all want to know when to sell. A textile unit wants to know which lines miss targets; a hospital wants to know when beds will fill. Data analytics supports each of them by cleaning records, testing patterns with statistics and presenting the result as a picture decision-makers can trust.

What does a data analyst do?

A Warangal analyst's week might include querying market or ERP data with SQL, fixing duplicate lot numbers and missing weights, comparing commodities, lines or departments in Excel or Python, publishing a Power BI or Tableau dashboard, and then explaining the findings to a trader, production manager, delivery lead or hospital administrator.

Data Analytics vs Data Science vs Business Analytics

Picture a turmeric trader at Enumamula. Analytics explains why last season's prices sagged; data science forecasts next season's arrivals and rates; business analytics recommends when to buy, how long to store and whom to sell to.

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

Salary ranges listed are rough first-job figures from the cited sources; tri-city offers vary with employer, role, skill, experience and distance from Hyderabad.

Course Overview

The course spans 6–7 months for Warangal learners — more than 75 live online classes and over 120 learning hours. Excel and SQL form the plinth; Python, statistics, data cleaning and exploratory analysis rise above it; Power BI, Tableau and Generative AI crown the structure. Market, textile, IT and healthcare datasets appear throughout, each phase ends with a guided build and the capstone is your portfolio's centre pillar.

Who should join this course:

Warangal, Hanamkonda and Kazipet learners who want live teaching without moving to Hyderabad.
Students and graduates of NIT Warangal, Kakatiya University, KITS, Kakatiya Medical College and other institutions — any stream — aiming for analytics.
Commission-agent clerks, cold-storage and ginning staff around Enumamula who already maintain registers.
Employees at the textile park, IT tower companies, hospitals and the railway division wanting to move into analysis.
Lot-entry operators at the market yard and data clerks at the textile park who know Excel inside out and now want queries and dashboards.

Eligibility: Hold a degree — any subject — and you're in (exact rules on the eligibility criteria page). Programming is taught from scratch. Arithmetic from school is plenty; the statistics module rebuilds anything rusty. Keep a laptop with 8GB RAM and a dependable connection for lab nights.

Upcoming Data Analytics Course Batches in Warangal

Weekday and weekend live batches are both available, timed around NIT and Kakatiya University semesters, market days and IT shifts. A free online demo class can be attended first.

DateTimeTrainerSeats Left

Weekdays

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

Weekends

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

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

Data Analytics Course Syllabus & Curriculum in Warangal

Nine modules over 120-plus hours, modelled on a Kakatiya architect's sequence: survey the site (source data), clear it (clean), plan it (analyse), read the load (interpret), carve it (visualise) and unveil it (present). Each module closes with a scored exercise on authentic data; the ninth curates your showcase.

Module 1: Excel for Data Analytics — 12 Hours

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

Module 2: SQL & Database Management — 18 Hours

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

Module 3: Python for Data Analytics — 20 Hours

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

Module 4: Statistics & Business Mathematics — 12 Hours

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

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

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

Module 6: Power BI — 18 Hours

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

Module 7: Tableau — 10 Hours

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

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

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

Module 9: Capstone Projects & Career Preparation — 10 Hours

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

Module	Topic	Hours	Tools
1	Excel for Data Analytics	12	Excel, Power Query
2	SQL & Database Management	18	MySQL
3	Python for Data Analytics	20	Python, Pandas, NumPy
4	Statistics & Business Mathematics	12	Excel, Python
5	Data Cleaning & EDA	12	Python, Pandas
6	Power BI	18	Power BI Desktop
7	Tableau	10	Tableau Public
8	AI & Gen AI for Analysts	8	ChatGPT, Copilot
9	Capstone & Career Prep	10	All tools
Total		120 Hours	10+ tools

Curriculum Reviewed by

Irshad Khan — Senior Trainer, 8+ Years Experience. Specialization: Data Science, Data Analytics, Business Analyst, SQL, Power BI, Python, Generative AI, Agentic AI.

Get Your Data Analytics Certification In Warangal

Pass all nine modules, every assignment and your capstone, and the Uncodemy Data Analytics Program Certificate is issued in your name — inscribed, so to speak, with the course title, months of study, tools learned, finishing date and a lookup code.

Warangal's employers, like the Kakatiya builders, judge by what stands. Your certificate is supported by graded spreadsheet, SQL, Python, statistics, BI and Gen AI work and a capstone you designed and built yourself.

Key Benefits of Our Data Analytics Certification:

Program Completion: Confirms every module of the tri-city batch was finished.
Online Verification: Any HR desk can confirm it through Uncodemy's lookup page.
Practical Learning: Carved from submitted builds rather than attendance.

Traders, textile firms, IT companies and hospitals can verify a Warangal learner's certificate online whenever they need to.

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 Edutech Pvt. Ltd. runs Uncodemy and grades each course by one test — do learners land jobs? Delhi and Noida host the rooms; the live online batches carry identical lessons to Warangal and every other district.

Through projects, you'll apply Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI to real datasets — the kind of work analysts do at Enumamula trading firms, textile-park units, Madikonda IT companies and Hanamkonda hospitals. The module-wise syllabus is published before you enrol.

Mentor hours, marked exercises, project critiques, interview rehearsals and vacancy alerts sit behind every lecture. Before any fee, tri-city learners receive in writing what career help covers, where it stops and the conditions to claim it.

Other courses for Warangal learners

Prefer a neighbouring discipline? From Hanamkonda or Kazipet you can opt for Uncodemy's AI, ML, Data Science or Business Analysis tracks, also taught live online.

Enroll in Our Data Analytics Training in Warangal Today!

Start in Warangal — join live online classes, practise on market, textile and IT data, build a portfolio and prepare for analyst roles in the tri-city, Hyderabad or remote teams.

Batches Curriculum

Data Analyst Jobs and Career Scope in Warangal–Hanamkonda–Kazipet

Warangal's economy rests on agriculture, education and an emerging industrial base. Enumamula Agricultural Market is among the largest in Telangana, handling chilli, cotton, turmeric, maize and paddy; commission agents, cold storages, ginning mills and seed companies all generate arrivals, pricing and stock data that benefit from analysis.

The Kakatiya Mega Textile Park is attracting spinning, weaving and garment manufacturers that need production and quality reporting, while the IT tower at Madikonda and smaller software firms offer reporting and BI roles. Kazipet railway junction and its workshops, large hospitals including MGM, and the tri-city's universities and colleges add further demand.

Tourism to Ramappa Temple — a UNESCO World Heritage Site — Warangal Fort and Bhadrakali also supports hotels and travel businesses.

Hyderabad is about 150 km away, making it a common destination for tri-city graduates, and remote analytics roles are widely available. Everywhere, SQL and a BI tool are expected; recruiters choose those who can frame the business question, select the right metric and explain the recommendation clearly in Telugu, Hindi or English.

Job Roles After This Course

Warangal graduates apply for Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst roles. A trader wants price-timing analysis, a textile unit wants line-efficiency dashboards and an IT firm wants SLA reporting — each built with SQL, spreadsheets and a BI tool.

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

Tri-city freshers usually start as Data, MIS or Business Analysts — sometimes in Hyderabad — and, within two to four years, move into BI, commodity, production, product or operations analytics on the strength of complete analyses they owned.

Data Analyst Salary in Warangal — Experience-wise

Earnings in the tri-city follow experience, the sector you join and how deep your SQL and BI really run; one title can hide a wide range. Charts alone usually earn the smaller cheque. Clean queries, structured thinking and the confidence to recommend an action earn the larger one — and faster promotion.

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 traders and smaller firms in Warangal often open below Hyderabad packages, while IT companies, larger hospitals and remote employers can pay more within each band. Ranges are indicative and depend on role, skills, experience, location, employer and market. Uncodemy guarantees no salary or job.

Top Hiring Sectors for Data Analysts in Warangal–Hanamkonda–Kazipet

Uncodemy's hiring network includes more than 850 companies across India. For tri-city learners, analyst openings stand on these pillars:

Agricultural trade at Enumamula — chilli, cotton and turmeric arrivals, prices and stock analytics
Textiles and garments — spinning, weaving and line-efficiency reporting at the mega textile park
IT and software services — reporting, SLA and BI work at the Madikonda IT tower
Healthcare, railways and education — patient-flow, operations and institutional dashboards
Hyderabad and remote roles — analytics jobs a short drive or a laptop away

A turmeric trader, a garment line and a software team will probe very different strengths; pick the pillar you want to stand on early and shape every portfolio project to support it.

How to Become a Data Analyst — Step by Step

Analytics skill is raised like a Kakatiya temple — foundation, pillars, beams and carving in sequence. Remove a pillar and the structure wobbles, usually exposed in a technical interview or your first months at work.

1
Foundation, Excel — XLOOKUP, pivots and Power Query so commodity-wise or line-wise summaries take minutes.
2
Pillars, SQL — joins between lots, bids and payments, grouped totals, subqueries and window functions; most interviews test these first.
3
Beams, Python — Pandas and NumPy for multi-season market data and automated reports.
4
Load testing, statistics — sampling, significance tests and regression so your conclusions bear weight.
5
Carving, one BI tool — Power BI with DAX or Tableau with calculated fields, finished so a trader or manager can read it unaided.
6
Gallery, a tri-city portfolio — three to five projects, such as chilli price seasonality or textile line efficiency, each ending in a recommendation.
7
Consecration, the job hunt — time yourself on SQL puzzles, talk through cases with a friend from NIT or KU, and rewrite each CV bullet so it shows what moved.

Most Warangal learners reach interview readiness after six to seven months of steady practice; a daily hour lays more stone than an occasional marathon.

How This Course Compares to Other Data Analytics Courses in Warangal

Being close to Hyderabad, Warangal learners can pick from countless analytics courses. Here's exactly what Uncodemy's program includes.

Factor	This Program
Duration	6–7 months
Learning hours	120+ hours
Tools covered	10+ tools
Gen AI module	Dedicated 8-hour module
Projects	5 guided + 1 capstone
Career support	Resume, LinkedIn, mock interviews, hiring network

Why so many months and tools? A fresher at a Madikonda software firm or an Enumamula trading house may get one request that needs Excel, SQL, a Python script and a dashboard. Budget recorded courses exist; for a quick Excel-and-Power-BI polish, one might be enough.

Online vs Offline vs Hybrid — Which Should You Choose?

Format changes nothing about syllabus, trainers, projects or fee. From the tri-city, streaming the sessions is easiest — join from your hostel or home, raise doubts on the spot and schedule around semester exams, market days or IT night shifts.

Uncodemy's physical rooms are roughly 1,450 km north, so mixing in classroom days isn't realistic from Telangana. Remote learners lose nothing: live sessions, recordings, doubt clinics and the full placement service all apply, and any approved change of format keeps your progress.

Is this course right for you?

If you want...	Recommend
Only Excel + Power BI basics	A shorter course may be sufficient
Full analyst career transition	This program
Heavy ML/Data Science	Choose Data Science
Business-focused analytics	Consider Business Analytics
Self-paced learning	Recorded course

Instructors for the Data Analytics Course in Warangal

Faculty behind the Warangal batches. Warangal 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 textiles and garments and IT and software services — the kind of data employers in Warangal–Hanamkonda–Kazipet actually hold.

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

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.

View Profile

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.

View Profile

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.

View Profile

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.

View Profile

Mr. Anshul

Data Analytics Trainer

Expertise

PythonSQLExcelPower BIData Visualization

About

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

Live projects

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

View Profile

Mr. Upendra Kumar Tiwari

Senior Data Science Trainer

Expertise

Data ScienceData AnalyticsMachine Learning

About

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

Live projects

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

View Profile

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.

View Profile

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.

View Profile

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.

View Profile

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.

View Profile

Frequently Asked Questions

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

The tri-city course runs six to seven months, with more than 75 live online classes and over 120 learning hours, in weekday or weekend batches that respect NIT and Kakatiya University calendars.

Can I learn data analytics without a coding background?

No coding is needed to start. Many Warangal learners come from commerce, agriculture or arts degrees; SQL begins with a single SELECT, Python with variables, and Excel and SQL dominate the first two months.

What tools are covered in this course?

You'll handle more than ten tools — SQL, Python, Pandas and NumPy to work with data, Statistics to test it, Excel, Power BI and Tableau to show it, and ChatGPT with Copilot to speed things up.

Does the course include a Gen AI module?

Module 8 builds eight hours of Gen AI skill: phrasing data questions for an AI assistant, checking its SQL and Python, using Copilot in Excel and Power BI, and spotting figures that don't stand up.

How many projects will I complete?

Six pieces of work: guided projects on retail, banking, HR, e-commerce and healthcare data, plus a capstone you choose. Enumamula chilli prices or textile-line data would make a memorable Warangal capstone.

Are the classes live or pre-recorded?

Every class is taught live and recorded for later revision; online, classroom and hybrid learners follow one syllabus.

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

From Warangal, it's ₹20,650 all-in — the ₹17,500 fee with 18% GST on top — with notes, project reviews, certification and placement help already counted. Monthly instalments open at ₹4,032.

Are EMI options available?

Instalments begin from ₹4,032 monthly; a counsellor fixes tenure and approval with the financing partner you prefer.

Is there a demo class before I enrol?

Yes — book a free live demo from Warangal to see a trainer teach and look over the syllabus before paying.

Do you provide placement assistance?

Our placement desk overhauls your CV and LinkedIn, critiques the portfolio, holds mock interviews and shares vacancies from a pool of 850-plus recruiters. The company you apply to makes the call, so nobody promises a job.

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

Freshers do get offers: Enumamula trading houses, textile-park units, Madikonda IT firms, MGM and private hospitals, and remote analytics teams all hire newcomers who can prove SQL, a dashboard tool and finished projects. First salaries usually hover near ₹3–6 LPA.

What is the salary of a data analyst in Warangal?

Roughly ₹3–6 LPA at entry, ₹6–10 LPA mid-level and ₹10–15 LPA senior; tri-city roles often pay a little below Hyderabad, and no figure is guaranteed.

What job roles can I apply for after this course?

First titles are usually Data, MIS or Business Analyst; later routes lead into BI, commodity, production, product or operations analytics.

Who is eligible for this Data Analytics course?

Any graduate can join — no coding or analytics experience needed. Batches mix NIT and university students, market and textile staff, and career switchers.

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

They're indicative figures from Uncodemy's records and public reviews; your outcome and EMI approval may differ.

Is classroom training available in Warangal?

Telangana has no Uncodemy classroom; face-to-face teaching happens only in Delhi and Noida, so tri-city learners follow identical batches online. If you're in Delhi, the Shakarpur Extension office is near Nirman Vihar Metro.

Which companies hire Uncodemy learners?

Over 850 recruiters — upGrad, Fiserv, Clarivate, HSBC and Genpact among them. Our records list Fiserv and HSBC Business Analysts, 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 Warangal note on each card suggests how to rebuild it around agricultural trade at Enumamula.

UncodemyDATA ANALYTICS

Sales Analysis Dashboard

Learners take a fictional supermarket chain's billing dump, tidy it through SQL Server queries and design a Power BI screen comparing branches, weeks and product families.

Warangal version: Run the same SQL Server + Power BI pipeline on agricultural trade at Enumamula sales from Warangal and compare months, products and outlets.

Python

Excel

Power BI

SQL

Ms. Rachna VermaData Analytics Trainer

Sagar Bajirao ShembadeData Analyst

View Profile Live Project View

UncodemyDATA ANALYST

Music Store Analysis

An online music shop's schema is drafted, built in PostgreSQL via PgAdmin4 and interrogated with SQL to reveal which artists earn and which buyers return.

Warangal version: Model a IT and software services catalogue the same way and rank items, customers and areas of Warangal–Hanamkonda–Kazipet by revenue.

Power BI

DAX

CSV

GitHub

Dr. Vijay K. GuptaMD & CEO

Ankit SinghData Analyst

View Profile Live Project View

UncodemyDATA ANALYTICS

Covid 19 Pandemic Analysis

India's COVID-19 numbers become a lesson in messy public data — gaps patched with Pandas, rates derived in NumPy and every state's waves drawn in Matplotlib.

Warangal version: Clean and chart public health or footfall data for Warangal–Hanamkonda–Kazipet with the same Pandas and Matplotlib workflow.

Python