Data Analytics Course in Udupi with Gen AI & Placement Assistance

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

Udupi is a temple town, a food capital whose name became a cuisine, and — with Manipal just up the hill — one of India's biggest student towns. Two well-known banks were born here, Malpe is among the west coast's busiest fishing harbours, and Manipal's hospitals and tech firms employ thousands. Students and young professionals in this belt increasingly want analytics careers, often alongside a degree they're already pursuing. Uncodemy's Data Analytics Course fits that life: 6–7 months of live online classes in Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI.

There's no Uncodemy campus on the coast — the institute's classrooms are in Delhi and Noida, with the Delhi one tucked into Shakarpur Extension beside DSEU Ambedkar College, minutes from Nirman Vihar and Laxmi Nagar Metro Stations. Udupi and Manipal learners join those same batches from their rooms or hostels and get 120+ hours of learning, 75+ live classes, real projects and a personal placement mentor. Cost: ₹17,500 + 18% GST, so ₹20,650.

Why Choose Uncodemy?

14+Years of Training Excellence

850+Companies in Our Hiring Network

54,000+Learners Trained

200+Corporate Associations

Program Details

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

Treat it as an extra elective running six to seven months: live online classes that move from Excel and SQL to Python and statistics, then on to Power BI, Tableau and Gen AI. Assignments use Manipal hospital records, Malpe auction data, coastal-bank files and restaurant billing, a mentor plays faculty adviser, and the final weeks feel like placement season.

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 Udupi — 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 end, you'll be able to grab an unfamiliar dataset — Malpe auction records, hospital OPD logs, a restaurant chain's billing export — and turn it into a clean, analysed and convincing story with whichever course tool fits. Eligible learners then move into analyst applications after career prep; a few outcomes from our records are here.

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. Udupi 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?

Think of a Malpe fish exporter guessing tomorrow's prices, a Manipal hospital planning OT schedules, or an Udupi restaurant chain deciding which dishes to drop from the menu. Each is sitting on data that could settle the question. Data analytics is the skill of cleaning that data, testing what it suggests with statistics and showing the answer in a chart that's hard to argue with. Banks, colleges and hotels along the coast use it daily.

What does a data analyst do?

Picture your week as an analyst: write SQL to pull records, untangle duplicate patient IDs or mismatched fish grades, compare departments, boats or outlets in Excel or Python, build a Power BI or Tableau dashboard and then walk a hospital manager, exporter, restaurant owner or bank officer through what it means.

Data Analytics vs Data Science vs Business Analytics

Take a Manipal hospital. Analytics explains why OT utilisation dropped last term; data science predicts next month's admissions; business analytics recommends how to roster surgeons and nurses.

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 brackets in the table are ballpark starting numbers from the cited sources — think of them like a cut-off range that moves with company, role, skill, experience and the year's hiring mood.

Course Overview

Here's the course at a glance: 6–7 months, over 75 live online classes, 120-plus learning hours. Term one covers Excel and SQL; term two brings Python, statistics, cleaning and exploratory analysis; term three closes with Power BI, Tableau and Generative AI. Every class uses real data, each term ends with a guided build, and your capstone is what you'll pitch at every interview.

Manipal and Udupi students who want an analytics skill alongside their main degree.
Recent graduates from MAHE, NMAMIT, Poornaprajna and other colleges — any stream — aiming for analytics jobs.
Hospital administrators, front-office and billing staff in Manipal's healthcare system who already work with records.
Staff at banks, fish exporters, restaurants and hotels along the coast looking to move into analysis.
MIS executives wanting SQL, Python and dashboards beyond Excel.

Upcoming Data Analytics Course Batches in Udupi

Weekday and weekend live batches are available, so Manipal students can fit classes around semester timetables and working professionals around shifts. Try a free online demo class before you sign up.

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 Udupi

The 120-plus hours are split into nine modules, like a well-planned curriculum: sourcing data, cleaning it, analysing it, interpreting the output, building visuals and presenting to stakeholders. Every module ends with a graded lab on real data, and module nine is your portfolio studio.

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

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 Udupi

Clear every module, submit each assignment and get your capstone approved, and Uncodemy issues your Data Analytics Program Certificate — course name, duration, tools learned, completion date and a code recruiters can look up, all on one page.

Campus recruiters see piles of certificates; what catches their eye is proof. Yours comes with marked spreadsheet, SQL, Python, statistics, BI and Gen AI work and a capstone you pitched and delivered yourself.

Key Benefits of Our Data Analytics Certification:

Program Completion: Confirms you finished the full coastal-batch course.
Online Verification: Recruiters can check its code on Uncodemy's portal.
Practical Learning: Earned through graded builds and your own capstone.

Hospitals, banks and campus recruiters can verify an Udupi–Manipal 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 the institute judges each course by whether its learners land jobs. Delhi and Noida host the classroom groups; live online groups carry identical lessons to Udupi, Manipal and every other city. Expect batchmates ranging from first-years and fresh graduates to nurses, bankers and engineers adding a skill.

You'll apply Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI to real datasets in project form — the same work an analyst does in a Manipal hospital's quality office, a coastal bank's MIS cell or a Bengaluru product team. The full module list is public before you enrol.

Think of the support like a good faculty-mentor system: office hours with mentors, graded practice, project reviews, mock interviews and job alerts. You'll receive the career support policy in writing before paying, listing what help you get, where it stops and who's eligible.

Other courses for Udupi learners

Want a different elective? Coastal learners may enrol instead in Uncodemy's live online tracks covering AI, ML, Data Science or Business Analysis.

Enroll in Our Data Analytics Training in Udupi Today!

Start from Udupi or Manipal — join live online classes, practise on hospital, fisheries and banking data, build a portfolio and get ready for analyst roles on the coast, in Bengaluru or with remote teams.

Batches Curriculum

Data Analyst Jobs and Career Scope in Udupi & Manipal

Healthcare is the Udupi–Manipal belt's biggest data employer. Large teaching hospitals and their network of clinics, labs and pharmacies handle huge volumes of patient, billing, scheduling and inventory data, and their administrative and research teams need analysts. Manipal's university ecosystem adds academic, admissions and research-data work, while a cluster of IT, printing and technology firms operate in and around the town.

Banking has deep roots here — two national banks began in Udupi and Manipal — and banks, cooperative societies and insurers still run significant operations on the coast. Malpe's fishing harbour and seafood exporters track catch, auction prices and cold-chain logistics, and Udupi's temple tourism, restaurants and hotels juggle footfall and bookings.

Mangaluru is next door and Bengaluru is a short flight or overnight bus away, and many learners also target remote roles. Everywhere, SQL and a BI tool are expected; the person who gets hired can frame the business question, choose the right metric and explain the recommendation clearly.

Job Roles After This Course

Graduates from the Udupi–Manipal belt usually apply for Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst roles. A teaching hospital asks why OT slots go unused, a seafood exporter when prices will rise, a coastal bank which branches lag — and you'll answer 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

Coastal freshers tend to begin with a Data, MIS or Business Analyst title — frequently inside a hospital — and then, two to four years on, specialise in healthcare, BI, product, marketing or operations analytics on the strength of projects they owned from start to finish.

Data Analyst Salary in Udupi — Experience-wise

Your pay will depend on experience, industry and how good you genuinely are with SQL and BI, and two people with the same title can earn very different amounts. If you only build charts, expect a lower start; add efficient queries, structured thinking and confident recommendations, and you'll start higher and grow faster.

Career Level / Role	Indicative Salary Range
Entry-Level Data Analyst	₹3–6 LPA
Data Analyst (Mid-Level)	₹6–10 LPA
Senior Data Analyst	₹10–15 LPA
Business Intelligence Analyst	₹7–12 LPA

Sources reviewed: AmbitionBox, Glassdoor, Indeed and Uncodemy placement records. Reviewed: 12 October 2026.

Manipal's hospitals and the coast's banks often pay around the middle of each bracket, local restaurants and small exporters may start lower, and Bengaluru or work-from-home employers can go higher. Treat these as rough guides that move with role, skill, experience, city, employer and market; Uncodemy promises neither pay nor placement.

Top Hiring Sectors for Data Analysts in Udupi & Manipal

Uncodemy's hiring network covers more than 850 companies across India. For Udupi and Manipal learners, analyst roles most often appear in:

Hospitals, labs and pharmacies — patient flow, OT utilisation, billing and inventory analytics
University and research administration — admissions, academic and research-data reporting
Banking, cooperatives and insurance — branch, credit and customer analytics
Fisheries, seafood export and hospitality — auction prices, cold chain, footfall and bookings
Mangaluru offices, Bengaluru tech firms and work-from-home teams — roles reachable by bus, flight or laptop

Hospitals, banks and exporters each want different strengths, so pick your direction early and shape your portfolio to match.

How to Become a Data Analyst — Step by Step

Learning analytics is a bit like a degree — you can't jump to final year without the foundation courses. Skip one and it'll show in a technical interview or your first months on the job.

1
Year one: Excel — XLOOKUP, pivots and Power Query so department-wise or boat-wise summaries take minutes.
2
Year one, sem two: SQL — join patient, appointment and billing tables (or boats, auctions and buyers), group totals, write subqueries and window functions; nearly every technical round opens here.
3
Year two: Python — load lakh-row OPD exports or auction logs into Pandas, crunch them with NumPy and write a script so the weekly summary rebuilds itself.
4
Year two, sem two: statistics — distributions, sampling error, hypothesis tests and regression, so a medical superintendent or exporter believes your numbers.
5
Electives: pick Power BI (DAX) or Tableau (calculated fields) and keep refining until a ward manager can understand your dashboard without a walkthrough.
6
Project year: a portfolio — three to five projects, such as OT utilisation or Malpe fish-price seasonality, each ending with a recommendation.
7
Placement season: drill SQL with a timer, practise case discussions with friends and polish every CV bullet into a measurable outcome.

Most Udupi–Manipal learners are interview-ready after six to seven months of steady practice — roughly one long semester's worth of consistent effort.

How This Course Compares to Other Data Analytics Courses in Udupi

Manipal students get pitched analytics courses at every price. Here's a plain list of what Uncodemy's program actually 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

It's longer and covers more tools because employers expect freshers to work across Excel, SQL, Python and a dashboard in one task. Recorded self-paced courses cost less; if you just want an Excel and Power BI refresher before placements, one of those might be enough.

Online vs Offline vs Hybrid — Which Should You Choose?

Syllabus, trainers, projects and fee stay identical whichever way you study. In Udupi and Manipal, live online classes win easily — log in from your hostel or flat, ask doubts in real time and slot sessions between lectures, clinical rotations or shifts.

Uncodemy's physical rooms are in Noida and Delhi's Shakarpur area, roughly 2,200 km away, so hybrid study isn't realistic from the coast. Online learners lose nothing: live teaching, recordings, doubt clinics and the full placement service all apply, and an approved format change carries your progress over.

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 Udupi

Who you will learn from in Udupi. Live sessions for Udupi are delivered online by the Delhi–Noida faculty. Irshad Khan, Senior Trainer for Data Analytics, leads the batch and approved the syllabus on this page, while Upendra Kumar Tiwari reviews its technical accuracy as a separate domain reviewer.

Learners from Udupi & Manipal often work with healthcare and education in Manipal, banking and fisheries and cashew records, so mentors encourage projects drawn from those sectors — sales registers, stock sheets, booking logs — giving your portfolio something local employers recognise, alongside NCR and remote teams.

Names, domains and LinkedIn profiles of every trainer are public on the Uncodemy trainers page.

Mr. 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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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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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 Udupi?

Roughly one long semester — six to seven months — with over 75 live online classes and 120-plus hours. Manipal students usually pick weekday evenings or weekends so classes don't clash with labs.

Can I learn data analytics without a coding background?

Totally fine. Lots of Manipal learners are from nursing, commerce, hospitality or humanities and have never coded. SQL starts with a single SELECT, Python with variables, and the first two months are mostly Excel and SQL.

What tools are covered in this course?

Ten-plus tools on the reading list: SQL, Python, Pandas, NumPy and Statistics for analysis; Excel, Power BI and Tableau for presenting; ChatGPT and Copilot as study buddies for the boring bits.

Does the course include a Gen AI module?

Yes — Module 8 is an eight-hour Gen AI elective built in: prompting an assistant for data tasks, checking its SQL and Python, using Copilot inside Excel and Power BI, and catching answers that are confidently wrong.

How many projects will I complete?

Six: five guided projects on retail, banking, HR, e-commerce and healthcare data, plus a capstone you choose. A hospital or Malpe harbour dataset would make your capstone stand out with coastal recruiters.

Are the classes live or pre-recorded?

Every class is live with a trainer, and recordings are posted afterwards — handy during exam weeks. All formats share one syllabus.

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

₹20,650 in total for Udupi–Manipal learners — ₹17,500 plus 18% GST — covering classes, notes, projects, certification and placement help. EMI starts at ₹4,032 a month.

Are EMI options available?

Yes, EMIs from ₹4,032 a month; your counsellor arranges tenure and approval with the financing partner.

Is there a demo class before I enrol?

Yes — book a free live demo from Manipal or Udupi, sit in on a class and look through the syllabus before you pay.

Do you provide placement assistance?

Yes. The placement team helps with your CV and LinkedIn, critiques your portfolio, sets up mock interviews and shares vacancies from 850-plus hiring partners. Because the company always decides, nobody can promise you a job.

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

Yes. Manipal's teaching hospitals, coastal banks, seafood exporters and remote analytics teams all hire freshers who can prove SQL, one dashboard tool and finished projects. Opening offers usually sit around ₹3–6 LPA.

What is the salary of a data analyst in Udupi?

Ballpark: ₹3–6 LPA for freshers, ₹6–10 LPA a few years in, ₹10–15 LPA for seniors. Coastal employers often pay a little below Bengaluru for the same title, and Uncodemy won't commit to any figure.

What job roles can I apply for after this course?

Expect your first title to be Data, MIS or Business Analyst. Seniors from the belt have gone on to healthcare analytics, BI engineering, product analytics and operations roles.

Who is eligible for this Data Analytics course?

Any graduate can join — no coding or analytics background needed. Batches mix Manipal students, hospital and bank staff, and career changers.

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

Think of them like last year's placement stats — useful context, not a promise. They come from our records and public review platforms, which change over time; your outcome depends on your skills, background, location, the employer and timing, and lenders decide EMIs.

Is classroom training available in Udupi?

There's no coastal classroom; Udupi and Manipal learners join the same batches online. The Delhi centre is in Shakarpur Extension near Nirman Vihar Metro.

Which companies hire Uncodemy learners?

The recruiter network passes 850 firms; HSBC, Genpact, Clarivate, Fiserv and upGrad are among them. Records show alumni joining Fiserv and HSBC as Business Analysts, Genpact as a Process Developer Analyst and Clarivate as an Intellectual Property Analyst.

Student Project For Data Analytics

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

UncodemyDATA ANALYTICS

Sales Analysis Dashboard

You'll take a supermarket chain's raw billing tables, clean them with SQL Server and design a Power BI page where managers compare outlets, weeks and categories — every chart tied to a stakeholder brief.

Udupi version: Run the same SQL Server + Power BI pipeline on healthcare and education in Manipal sales from Udupi 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

You'll model an online music shop's catalogue and orders in PostgreSQL through PgAdmin4, then query it to see which artists trend, who buys repeatedly and where the shop should advertise.

Udupi version: Model a fisheries and cashew catalogue the same way and rank items, customers and areas of Udupi & Manipal 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

You'll patch gaps in India's COVID-19 data with Pandas, compute rates in NumPy and plot each state's waves in Matplotlib — a classic public-health dataset for Manipal learners.

Udupi version: Clean and chart public health or footfall data for Udupi & Manipal with the same Pandas and Matplotlib workflow.

Python

Pandas

Jupyter Notebook

GitHub

Mr. Upendra Kumar TiwariSenior Data Science Trainer

Shruti SaxenaData Analyst

View Profile Live Project View

UncodemyDATA ANALYTICS

Company Insights 360°

Python cleans, SQL stores, Power BI presents — together producing a monthly OT-utilisation, revenue and staffing pack for an imaginary teaching hospital.

Udupi version: Build a scorecard of banking employers around Udupi — 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

You'll analyse many IPL seasons to answer fun questions — which bowlers choke at the death, which venues favour chasing — and present the results in more than 44 charts.

Udupi version: Swap IPL data for healthcare and education in Manipal seasonality in Udupi 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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