Data Analytics Course in Rajahmundry with Gen AI & Placement Assistance

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

Rajamahendravaram grew up on the banks of the Godavari, and the river still shapes its work: a century-old paper mill draws on its water, ONGC's onshore operations fan out across the delta, Kadiyam's nurseries ship plants nationwide, and the region's paddy, coconut and tobacco feed busy markets. The city calls itself the cultural capital of Andhra; increasingly it is also a place where young people want analytics careers. Uncodemy's Data Analytics Course lets that ambition flow through 6–7 months of live online classes in Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI.

No Uncodemy classroom sits on the Godavari's banks; physical teaching happens only at Noida and at Delhi's Shakarpur Extension, beside DSEU Ambedkar College near Nirman Vihar and Laxmi Nagar Metro Stations. Rajamahendravaram learners stream those batches live and still collect 120-plus learning hours, 75-plus trainer sessions, real projects and a personal placement mentor — for ₹17,500 plus 18% GST, or ₹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 RajahmundryLive Online (classroom only at Delhi & Noida centres)

EMIFrom ₹4,032/month

Program Details

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

Rajahmundry learners spend six to seven months in live online classes on Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI, using paper-mill, oil-and-gas, nursery and agri-trade case material, with a mentor guiding the current and an interview fortnight at the mouth of the course.

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 Rajahmundry — 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

By the time the course reaches its delta, a Rajahmundry learner can take a nursery's dispatch register, a paper machine's shift log or a well-site report and turn it into a clean, analysed and convincing summary with the right tool. Eligible learners then apply for analyst openings after career preparation; a few recorded outcomes appear below.

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. Rajahmundry 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?

Kadiyam's nurseries sell lakhs of saplings every season to buyers from Kashmir to Kerala: which varieties move fastest, which buyers return, which months bring the rush, and which plants die in transit? A paper mill asks why one machine breaks down more often than its twin; an oilfield services firm asks which wells need attention first; a coconut trader asks when copra prices will turn. Data analytics answers such questions by cleaning raw records, testing patterns statistically and letting the results flow into clear charts. Hospitals, banks and colleges along the Godavari use the same discipline for their own decisions.

What does a data analyst do?

On a typical day, a Rajamahendravaram analyst runs SQL against billing or plant databases, clears away duplicate buyer names, missing weights and broken timestamps, compares seasons, machines or customers in Excel or Python, builds a Power BI or Tableau dashboard, and then sits with the nursery owner, mill manager, field engineer or hospital administrator to agree on what changes next.

Data Analytics vs Data Science vs Business Analytics

Take a Kadiyam nursery. Analytics explains why sales of a popular palm variety fell last monsoon; data science forecasts demand for the next planting season; business analytics recommends which plants to propagate, how much to stock and where to sell.

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

Salary bands here are rough opening figures from the referenced sources; like the river's level, they rise and fall with employer, title, skill, experience and season.

Course Overview

Rajahmundry learners follow the course for 6–7 months — more than 75 live online classes and over 120 learning hours. The stream begins with Excel and SQL, widens through Python, statistics, data cleaning and exploratory analysis, and reaches the sea at Power BI, Tableau and Generative AI. Mill, oilfield, nursery and agri datasets flow through every phase, each ending with a guided project, and the capstone is your portfolio's anchor.

Who should join this course:

People in Rajamahendravaram, Kovvur, Kadiyam and Amalapuram who'd rather learn live from home than shift to Hyderabad or Vizag.
Graduates of Adikavi Nannaya University, GIET, Godavari Institute and other colleges — any stream — aiming for analytics roles.
Supervisors and clerks at the paper mill, ONGC contractors, nurseries and rice mills who already keep operational records.
Staff in hospitals, banks, tobacco and coconut trading firms hoping to move into analysis.
Nursery billing clerks and mill timekeepers who live in Excel sheets and want SQL, Python and dashboards next.

Eligibility: Graduation in any subject is enough (eligibility criteria page has specifics). Coding starts at zero. Basic maths will do; the statistics unit fills the rest. Keep a laptop with 8GB RAM and a decent connection for practicals.

Upcoming Data Analytics Course Batches in Rajahmundry

Weekday and weekend live batches are open to Rajahmundry learners, scheduled around college, mill shifts and nursery seasons. A free online demo class is available before you enrol.

Date	Time	Trainer	Seats Left
19 Oct	02:00 PM – 03:00 PM	Mr. Upendra	02 Seats
02 Nov	10:30 AM – 11:30 AM	Ms. Rachna	01 Seat
09 Nov	12:00 PM – 01:00 PM	Mr. Abhi	02 Seats
16 Nov	07:30 PM – 08:30 PM	Mr. Rahul	01 Seat

Date	Time	Trainer	Seats Left
28 Nov	03:00 PM – 05:00 PM	Mr. Irshad	02 Seats

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

Data Analytics Course Syllabus & Curriculum in Rajahmundry

Nine modules spanning 120-plus hours follow the natural course of an analysis: collect the data, clean it, analyse it, interpret it, visualise it and deliver it. Each module ends with a graded practical on real data, and the final module channels 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

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 Rajahmundry

Your Uncodemy Data Analytics Program Certificate is issued after all nine modules, assignments and the capstone are signed off — showing the course, its months, the tools learned, the finish date and a verification code.

Along the Godavari, a nursery owner inspects saplings before buying; recruiters inspect work before hiring. So your certificate is backed by marked spreadsheet, SQL, Python, statistics, BI and Gen AI assignments and a capstone you carried from raw data to advice.

Key Benefits of Our Data Analytics Certification:

Program Completion: Confirms the full Godavari batch curriculum was finished.
Online Verification: Employers can validate its reference online.
Practical Learning: Grounded in graded projects and a self-designed capstone.

Any employer can verify a Godavari learner's certificate on Uncodemy's online portal whenever they wish.

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, an initiative of Uncodemy Edutech Pvt. Ltd., judges every course by how many of its learners find work. Classroom groups gather in Delhi and Noida; online groups stream the same lessons to Rajamahendravaram and beyond. Learners range from fresh graduates to working professionals.

During the course, spreadsheets, SQL, Python, statistics, Power BI, Tableau and Gen AI are used on authentic datasets — the routine of an analyst at a Godavari paper mill, an oilfield service base, a Kadiyam nursery or a hospital records office. All modules are listed publicly before admission.

Lectures come with mentor hours, marked exercises, project critiques, interview rehearsals and job alerts. The career support policy reaches Godavari learners in writing before any payment, so the scope and limits are clear.

Other courses for Rajahmundry learners

Learners on the Godavari who'd rather pursue AI, ML, Data Science or Business Analysis will find those offered live online by Uncodemy.

Enroll in Our Data Analytics Training in Rajahmundry Today!

Begin on the Godavari — join live online classes, practise on mill, oilfield and nursery data, build a portfolio and prepare for analyst roles in the delta, Hyderabad, Vizag or remote teams.

Batches Curriculum

Data Analyst Jobs and Career Scope in Rajamahendravaram & the Godavari districts

Rajahmundry's industrial base reflects the river. The large paper mill on the Godavari runs complex production, energy and quality systems; ONGC's onshore asset in the Krishna–Godavari basin, along with its service contractors, generates well, drilling and maintenance data; and gas-based power and fertiliser plants in the wider region add further operational reporting.

Agriculture and horticulture are equally important. The Kadiyam nursery belt is among India's largest, supplying ornamental plants, fruit saplings and palms across the country, while paddy, coconut, banana and tobacco from the Godavari districts pass through local mills and traders. Hospitals, banks, Adikavi Nannaya University and engineering colleges, and tourism linked to the river and the Pushkaralu festival create additional openings.

Many learners also look toward Visakhapatnam, Vijayawada, Hyderabad or remote teams. Wherever the current takes you, recruiters expect SQL and a BI tool as standard; offers go to people who can pin down the real business question, pick the right number to watch and explain their advice plainly in Telugu, Hindi or English.

The Godavari Pushkaralu, held every twelve years, and the Papikondalu river cruises bring waves of visitors that hotels, transport operators and the municipal corporation must plan for — a natural playground for footfall forecasting. Meanwhile, the city's growing private-hospital cluster serves patients from both Godavari districts, and its many coaching and engineering colleges keep producing graduates eager for analytical work.

Job Roles After This Course

Graduates from the Godavari districts typically apply for Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst posts. A Kadiyam nursery asks which saplings to propagate, the paper mill why a machine keeps stopping, an oilfield contractor which wells to service first — and each answer is built with SQL, spreadsheets and a dashboard.

Role	Core Tools
Data Analyst	SQL, Excel, Python, Power BI
Business Analyst	SQL, Excel, BI tools
MIS Executive / Analyst	Excel, SQL, Power BI
Business Intelligence Analyst	Power BI, Tableau, SQL, DAX
Marketing / Product Analyst	SQL, Python, BI tools
Operations Analyst	Excel, SQL, Power BI

Freshers from the Godavari districts usually begin with a Data, MIS or Business Analyst title and drift — purposefully — into production, BI, horticulture supply-chain or operations analytics within two to four years, carried by complete analyses they owned.

Data Analyst Salary in Rajahmundry — Experience-wise

Earnings here move with experience, sector and real command of SQL and BI; two people sharing a designation can be paid very differently. Charts alone tend to fetch the lower figure, while efficient queries, clear problem framing and confident recommendations fetch more and lead to quicker 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.

The paper mill, KG-basin contractors and big hospitals tend to pay around mid-bracket, nurseries and traders may open lower, and Hyderabad, Vizag or work-from-home teams can go higher. Every range here is a guide that shifts with role, skill, experience, city, employer and market; nothing is guaranteed.

Top Hiring Sectors for Data Analysts in Rajamahendravaram & the Godavari districts

Uncodemy's hiring network covers more than 850 companies across India. For Rajahmundry learners, analyst openings flow mainly from:

Paper and allied manufacturing — machine performance, energy, quality and dispatch analytics
Oil, gas and energy services — well, drilling, maintenance and field-logistics reporting in the KG basin
Nurseries and horticulture — variety-wise sales, buyer and seasonal demand analytics around Kadiyam
Agri-trade, healthcare and banking — paddy and coconut pricing, patient-flow and credit dashboards
Vizag, Hyderabad and remote roles — analytics positions beyond the Godavari districts

Mills, oilfield firms and nurseries each value different strengths, so choose your direction early and steer your portfolio along it.

How to Become a Data Analyst — Step by Step

Analytics skill builds like the Godavari gathers water — tributary by tributary, each adding to the flow. Skip one and the current weakens, usually noticed in a technical interview or your first months at work.

1
Source, Excel — XLOOKUP, pivots and Power Query so variety-wise or machine-wise summaries take minutes.
2
First tributary, SQL — joins between orders, buyers and dispatches, grouped totals, subqueries and window functions.
3
Second tributary, Python — Pandas and NumPy for large mill or field logs and automated reports.
4
Confluence, statistics — sampling, significance tests and regression so your conclusions run deep.
5
Main channel, one BI tool — Power BI with DAX or Tableau with calculated fields, finished so a nursery owner or mill manager can read it alone.
6
Delta, a Godavari portfolio — three to five projects, such as nursery demand seasonality or paper-machine downtime causes, each ending in a recommendation.
7
Sea, the job hunt — practise SQL with a stopwatch, rehearse case discussions aloud and rewrite your CV so each project states what changed.

Most Rajahmundry learners reach interview readiness after six to seven months of steady practice; a daily hour keeps the current moving better than an occasional flood.

How This Course Compares to Other Data Analytics Courses in Rajahmundry

From inexpensive local classes to Hyderabad bootcamps, Godavari learners have plenty of analytics options. Here is Uncodemy's offer in plain terms.

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

It's longer and broader because employers expect freshers to move between Excel, SQL, Python and BI within one task. Recorded self-paced courses cost less; a nursery or shop owner who only wants neater Excel and Power BI reports might choose one.

Online vs Offline vs Hybrid — Which Should You Choose?

Whichever format you pick, syllabus, trainers, projects and fee stay identical. For Rajamahendravaram, streaming the live lectures from home is simplest — no travel, doubts answered on the spot, and timings that fit nursery seasons, mill rosters or college.

Uncodemy's classrooms are in Noida and Delhi's Shakarpur area, about 1,500 km north, so hybrid study isn't practical from the Godavari districts. Online learners receive the same teaching, recordings, doubt support and placement help, and an approved switch keeps their 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 Rajahmundry

Faculty behind the Rajahmundry batches. Rajahmundry 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 oil and gas services and nurseries and horticulture — the kind of data employers in Rajamahendravaram & the Godavari districts actually hold.

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

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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Frequently Asked Questions

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

Six to seven months on the Godavari timetable — 75-plus live lectures, 120-plus hours, weekday or weekend.

Can I learn data analytics without a coding background?

No coding needed. Kadiyam nursery staff, mill clerks and arts graduates all start SQL at one SELECT line and Python at variables; Excel and SQL fill the first two months.

What tools are covered in this course?

Over ten: Pandas, NumPy, Python and SQL for crunching; Statistics for reasoning; Tableau, Excel and Power BI for showing; Copilot and ChatGPT for speed.

Does the course include a Gen AI module?

Yes — Module 8, eight hours on Gen AI: briefing an assistant, vetting its SQL or Python, Copilot in Excel and Power BI, catching wrong numbers.

How many projects will I complete?

Six: five guided builds plus a capstone you choose — Kadiyam sapling sales or paper-machine downtime would suit Godavari recruiters.

Are the classes live or pre-recorded?

Live, all 75-plus; recordings are posted afterwards, and one syllabus covers every format.

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

₹20,650 all-in for Godavari learners (₹17,500 + 18% GST); EMIs open at ₹4,032 monthly.

Are EMI options available?

Yes, from ₹4,032 a month — tenure and approval via your chosen lender, arranged by a counsellor.

Is there a demo class before I enrol?

Yes — a free trial lecture from Rajamahendravaram lets you watch a trainer and skim the module plan first.

Do you provide placement assistance?

We rework your CV and LinkedIn, critique the portfolio, run mock interviews and forward openings from 850-plus recruiters. Employers decide, so no job is promised.

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

Yes. The paper mill, KG-basin contractors, nurseries, hospitals and remote teams hire freshers with SQL, a dashboard tool and projects; first offers are usually ₹3–6 LPA.

What is the salary of a data analyst in Rajahmundry?

Guide: ₹3–6 LPA at entry, ₹6–10 LPA mid-level, ₹10–15 LPA senior; Godavari jobs often trail Hyderabad or Vizag. No figure is guaranteed.

What job roles can I apply for after this course?

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

Who is eligible for this Data Analytics course?

Any graduate, any stream — no coding or analytics background required.

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

No. They're indicative, from our placement logs and public reviews; outcomes and EMIs vary.

Is classroom training available in Rajahmundry?

The Godavari districts have no Uncodemy classroom; in-person teaching takes place only in Delhi and Noida, so learners here attend the very same batches online. Visiting Delhi? Look for the Shakarpur Extension office near Nirman Vihar Metro.

Which companies hire Uncodemy learners?

More than 850 companies recruit through us — Genpact, HSBC, Clarivate, Fiserv and upGrad among them. Alumni include Business Analysts at Fiserv and HSBC, a Process Developer Analyst at Genpact and an Intellectual Property Analyst at Clarivate.

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 Rajahmundry note on each card suggests how to rebuild it around paper manufacturing.

UncodemyDATA ANALYTICS

Sales Analysis Dashboard

A retail chain's sales tables are cleaned through SQL Server and channelled into a Power BI dashboard filterable by town, week and category, each chart answering a stated question.

Rajahmundry version: Run the same SQL Server + Power BI pipeline on paper manufacturing sales from Rajahmundry 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

Learners sketch an online music shop's schema, build it in PostgreSQL via PgAdmin4 and query it to see which artists earn and who buys again.

Rajahmundry version: Model a nurseries and horticulture catalogue the same way and rank items, customers and areas of Rajamahendravaram & the Godavari districts 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 pandemic statistics get the river treatment — gaps filled in Pandas, rates computed with NumPy and state-wise waves charted in Matplotlib.

Rajahmundry version: Clean and chart public health or footfall data for Rajamahendravaram & the Godavari districts with the same Pandas and Matplotlib workflow.

Python

Pandas

Jupyter Notebook

GitHub

Mr. Upendra Kumar TiwariSenior Data Science Trainer

Shruti SaxenaData Analyst

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UncodemyDATA ANALYTICS

Company Insights 360°

Learners chain Python, SQL and Power BI into a monthly variety-sales, revenue and labour report for an imaginary Kadiyam plant nursery.

Rajahmundry version: Build a scorecard of oil and gas services employers around Rajahmundry — size, hiring trend and pay bands — with SQL and DAX.

Python

SQL

Power BI

DAX

Ms. Rachna VermaData Analytics Trainer

Rajat KashyapData Analyst

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UncodemyDATA ANALYTICS

IPL Analysis Dashboard

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

Rajahmundry version: Swap IPL data for paper manufacturing seasonality in Rajahmundry and show peaks, slumps and outliers in one dashboard.

Python

Jupyter Notebook

Power BI

SQL

Mr. Upendra Kumar TiwariSenior Data Science Trainer

Pawan MehraData Analyst

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