4.8 LPAHyderabadAnkit Singh
Data Analyst
- Placed at
- FINELABS
- Program
- Data Analytics Batch
- Batch
- DA/09/0823/S WD 7PM
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Read More →Davangere is famous across Karnataka for its benne dose, but locals know it as much more: a former cotton-textile capital, a busy APMC for maize and paddy, a centre for medical and engineering education, and a growing base for agri-processing and distribution. Every one of those activities now runs on spreadsheets and software, and the people who can read the numbers well are in demand. Uncodemy's Data Analytics Course serves Davangere learners a full recipe for that skill — 6–7 months of live online classes in Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI.
Uncodemy's kitchens — sorry, classrooms — are only in Delhi and Noida; the Delhi one sits in Shakarpur Extension beside DSEU Ambedkar College, a short walk from Nirman Vihar and Laxmi Nagar Metro Stations. Davangere learners are served the same batches online: over 120 hours of learning, more than 75 trainer-led classes, practical projects and a placement mentor. The bill is ₹17,500 plus 18% GST, which totals ₹20,650.
Davangere learners follow a six-to-seven-month menu of live online classes — Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI — seasoned with maize-trade, hospital, education and distribution case studies, a mentor tasting progress and an interview round as dessert.
| 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 |
By the end, a Davangere learner can take raw ingredients — an APMC arrival sheet, a hospital admissions file, a college fee register — and cook up a clean, analysed and persuasive summary using the right tool. Eligible learners then apply for analyst roles after career preparation; a few results from our records are below.
4.8 LPAHyderabadData Analyst
4.8 LPAIndiaData Analyst
4.0 LPADelhiData Analyst
3.25 LPAPuneData Analyst
3.0 LPANoidaData Analyst
3.0 LPADelhiData Analyst
Location badges show where each learner was placed. Davangere learners join these same live online batches and the same career-preparation process; outcomes depend on individual effort and the job market.
A perfect benne dose depends on the right batter, the right heat and the right timing; good business decisions depend on the right data, read the right way. A Davangere maize trader wants to know when prices peak after harvest, a teaching hospital how many beds it will need during the monsoon fever season, a college which programmes attract the most applicants, and a distributor which villages have stopped ordering. Data analytics answers these by cleaning raw records, testing patterns statistically and serving the result as a clear chart. Banks, cooperatives and government offices use exactly the same recipe every day.
In a typical week a Davangere analyst gathers the ingredients with SQL, scrubs out duplicate patient IDs, misspelt village names and mismatched codes, compares months, departments or products in Excel or Python, plates the result in a Power BI or Tableau dashboard, and then talks it through with an APMC trader, hospital administrator, college registrar or sales manager — because a dish no one eats is wasted.
Take a maize trading firm at the APMC. Analytics explains why margins thinned last kharif season; data science forecasts arrivals and prices for the next one; business analytics recommends how much to buy, store and sell forward.
| 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 |
These are approximate first-job salary brackets from the cited sources; real offers to Davangere graduates depend on employer, role, skill, experience and timing.
Expect a 6–7 month course with more than 75 live online classes and over 120 learning hours. Spreadsheets and SQL are the base; Python, statistics, data cleaning and exploratory analysis add depth; Power BI, Tableau and Generative AI are the finishing garnish. Market, hospital and campus datasets turn up throughout, a guided build rounds off each phase, and the capstone becomes your signature dish.
Eligibility: The one essential ingredient is a completed bachelor's degree, any stream (the eligibility criteria page lists specifics). We start SQL and Python from absolute zero. If maths was never your favourite subject, the statistics module rebuilds it gently. For practicals, keep a laptop with at least 8GB RAM and a dependable connection.
Weekday and weekend live batches are open to Davangere learners, timed around college terms, hospital shifts and market hours. Want a taste first? A free online demo class is available.
| 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.
Nine modules and 120-plus hours, prepared in the order a real analyst works: gather the data, clean it, analyse it, interpret it, visualise it and serve it to the decision-maker. Each module ends with a graded practical on genuine data, and the final module plates your best work as a portfolio.
| 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 |
Irshad Khan — Senior Trainer, 8+ Years Experience. Specialization: Data Science, Data Analytics, Business Analyst, SQL, Power BI, Python, Generative AI, Agentic AI.
When every module, assignment and the capstone are done, Davangere learners receive the Uncodemy Data Analytics Program Certificate — listing the course, how long it ran, the tools covered and the completion date, with a code anyone can verify. It's issued only after coursework and assessments are passed.
Hiring managers here like to taste before they buy. Alongside the certificate you'll serve them a platter of marked spreadsheet, SQL, Python, statistics, BI and Gen AI work and a capstone you cooked up from raw data to recommendation by yourself.
Hospitals, traders and corporate recruiters can confirm a Davangere learner's certificate online whenever they wish.
Uncodemy Certificate Verification — Online Certificate Verification & Download: certificate.uncodemy.com
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Uncodemy Edutech Pvt. Ltd. operates Uncodemy, and its test for every course is simple: will this help someone get hired? Delhi and Noida host the classroom batches; the live online batches carry an identical curriculum to Davangere and the rest of the country. You'll study with first-timers, fresh graduates, freshers and people already in jobs.
Over the months you'll work Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI into real datasets through projects. It's the daily diet of an MIS officer at a teaching hospital, an analyst at an APMC trading house or a reporting executive in a Bengaluru firm, so the first job tastes familiar. Read the full module list before you sign up.
Each class is backed by mentor hours, marked practice, project reviews, interview rehearsals and vacancy alerts. Before you pay, you'll get the career support policy in writing — what help comes with the course, where it stops and who can claim it.
Prefer a different dish? Davangere learners can order Uncodemy's live online AI, ML, Data Science or Business Analysis courses instead.
Start in Davangere — join live classes, practise on trade, hospital and education data, build a portfolio and prepare for analyst roles in central Karnataka, Bengaluru or remote teams.
Davangere's economy has evolved from its cotton-mill days into a mix of agriculture, trade, education and healthcare. The APMC handles large volumes of maize, paddy, cotton and groundnut, while rice mills, poultry-feed makers and agri-processing units track procurement and production. Distributors use the city's central location to serve surrounding districts, generating sales and stock data.
Education and healthcare are major employers: medical, dental and engineering colleges attract students from across India, and the associated hospitals see heavy patient loads. Both create demand for admissions, billing, patient-flow and academic reporting. Banks, cooperative societies and microfinance lenders add credit and collections work, and the Davangere Smart City programme digitises civic services.
Bengaluru is about four hours away by road or rail, and plenty of analytics teams now hire remotely, so Davangere learners often apply beyond the city as well. Whatever the kitchen, SQL and a BI tool are the basic utensils; recruiters choose the cook who can understand the order, pick the right measure and explain the plate in simple words.
Graduates from Davangere usually apply for Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst posts. A teaching hospital asks about bed turnover, a maize trader about the best week to sell, a college about which branches fill fastest — and you 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 |
Davangere freshers usually take a Data, MIS or Business Analyst job first and, two to four years later, specialise in hospital, education, product, marketing or operations analytics. What lifts them is serving complete, well-owned analyses and learning the vocabulary of their kitchen, not piling up certificates.
Your salary depends on experience, the sector you join and how sharp your SQL and BI skills really are; two analysts with the same title can be paid very differently. Stick to charts alone and you'll probably begin at the lower end. Add tidy queries, clear problem-breakdown and a confident recommendation, and you'll begin higher and rise sooner.
| 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.
Davangere's traders, colleges and smaller businesses often start below what Bengaluru companies pay, while big hospital groups, national brands and work-from-home roles can reach higher in each bracket. These numbers are a guide, nothing more — they shift with role, skill, experience, city, employer and market — and Uncodemy promises neither pay nor placement.
Uncodemy places learners through more than 850 companies across India. For Davangere learners, analyst openings most often turn up in:
APMC trade and agri-processing — maize, paddy and cotton arrivals, prices and procurement
Hospitals and medical colleges — patient flow, billing and bed-occupancy analytics
Education — admissions, fee collection and academic performance dashboards
Distribution, banking and cooperatives — sales, stock, credit and collections reporting
Bengaluru offices and remote teams — analytics openings a bus ride or a laptop away
Traders, hospitals and colleges each value different strengths, so decide where you want to work and season your portfolio accordingly.
Analytics skill behaves like dosa batter — it needs time to ferment and the ingredients in the right order. Rush or skip a step and the result falls flat, usually in a technical interview or your first month on the job.
Excel as the base batter — XLOOKUP, pivots and Power Query, so a commodity-wise or department-wise summary is ready in minutes.
SQL for structure — joins between arrivals, sales and payments, grouped totals, subqueries and window functions; most interviews start here.
Python for the big batches — Pandas and NumPy for season-long market data, plus scripts that rebuild weekly reports automatically.
Statistics for taste-testing — sampling, significance tests and regression, so your conclusions survive a doubtful manager.
A dashboard as the plating — Power BI with DAX or Tableau with calculated fields, finished so a registrar or trader can use it alone.
A Davangere portfolio — three to five projects, such as maize price seasonality or hospital bed occupancy, each ending with a recommendation.
Serve it hot — time yourself on SQL problems, practise explaining a business case out loud, and rewrite your CV so every line says what got better.
Most Davangere learners are interview-ready after six to seven months of steady practice; a daily hour beats an occasional all-day session.
Davangere learners can find analytics courses at every price, many of them Bengaluru-based. Here's exactly what Uncodemy's program serves up.
| 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? Because the modern fresher's 'order' often comes in four courses: clean it in Excel, fetch it with SQL, automate it with Python, present it on a dashboard. Low-cost recorded courses exist; if all you need is a quick Excel-and-Power-BI snack, one of those may do.
The syllabus, trainers, projects and fee are the same in every format. From Davangere, live online classes are the easy choice — learn in real time from home, get doubts cleared quickly and fit classes around college, hospital duty or market hours.
The nearest Uncodemy rooms are roughly 1,800 km away in Noida and Delhi's Shakarpur area, so hybrid study isn't realistic from central Karnataka. Nothing is lost online: live teaching, recordings, doubt clinics and the full placement service all come with it, and an approved format change carries your progress across.
| 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 |
The people who teach Davangere batches. There is no Uncodemy classroom in Davangere, so learners from Davangere & Central Karnataka join the live online batches taught by the same trainers who run classroom sessions in Delhi and Noida. The Data Analytics track is led by Irshad Khan, Senior Trainer, who reviewed and signed off this curriculum.
Technical content is checked separately by domain reviewer Upendra Kumar Tiwari, so the person teaching a topic is not the only one verifying it. When a learner from Davangere wants a capstone built on cotton and textile mills or maize and agri-trade data, the trainer helps frame the questions, clean the dataset and design the dashboard.
Every trainer is listed by name on the Uncodemy trainers page, so you can check their background before you enrol.

Data Analytics Trainer
ExpertiseTrainer 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.
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.

Data Analytics Trainer
Expertise3+ 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.
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.

Data Analytics Trainer
Expertise14+ 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.
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.

Data Analytics Trainer
Expertise5+ 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.
Credit risk management analytics at Tech Mahindra, business communications analytics, and chatbot solutions built with prompt engineering and machine learning.

Senior Data Science Trainer
Expertise15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.

Data Analytics & AI Trainer
Expertise8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.

Data Analytics & AI Trainer
Expertise7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
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.

Data Analytics Trainer
Expertise5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.

MD & CEO
ExpertiseFounder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.

CEO & Founder
ExpertiseCEO & 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.
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Allow six to seven months. That covers 75-plus live online classes and more than 120 hours, served on weekdays or weekends so that Davangere college timetables and hospital rosters don't clash.
Of course. Many learners here walk in from B.Com, B.Sc or BA programmes having never touched code. The first SQL lesson is a single SELECT; Python opens with a variable; spreadsheets and queries make up most of the first two months.
A full spice rack of ten-plus tools: SQL, Pandas, NumPy and core Python for preparing data; Statistics for checking it; Excel, Tableau and Power BI for presenting it; Copilot and ChatGPT to save time.
There's a dedicated eight-hour Gen AI module (Module 8). You'll practise briefing an assistant on a dataset, tasting whether its SQL or Python is right, using Copilot inside Excel and Power BI, and throwing out numbers that smell wrong.
Six dishes in the portfolio: guided builds using retail, banking, HR, e-commerce and hospital data, plus a capstone of your own recipe — maize price swings at the APMC or bed occupancy at a teaching hospital would suit Davangere well.
Nothing is pre-recorded. A trainer cooks each of the 75-plus classes live in front of you, and the recording is uploaded later for revision; online, classroom and hybrid groups follow one syllabus.
The full bill for Davangere learners is ₹20,650 — ₹17,500 with 18% GST added — and it already includes classes, notes, project reviews, certification and placement help. Paying in parts? Monthly EMIs start at ₹4,032.
Monthly instalment plans open at ₹4,032. Your counsellor sorts out how many months, the exact amount and approval through the lending partner you prefer.
Absolutely — book a free trial class from Davangere, watch a trainer at work, ask whatever you like and leaf through the module list before deciding.
Our placement team spruces up your CV and LinkedIn, critiques your portfolio, runs mock interviews and passes along vacancies from 850-plus recruiters. The final call always belongs to the employer, so a job can't be promised.
Freshers do get hired. Davangere's teaching hospitals, APMC trading houses, distributors and colleges, along with remote analytics teams, take on newcomers who can prove SQL, a dashboard tool and finished projects. Opening offers usually hover around ₹3–6 LPA.
Ballpark figures: about ₹3–6 LPA to start, ₹6–10 LPA after a few years, ₹10–15 LPA at senior level. Jobs inside Davangere often pay a notch below Bengaluru or remote roles; Uncodemy won't promise a number.
The usual first title is Data Analyst, MIS Analyst or Business Analyst. A few years on, Davangere alumni branch into hospital analytics, BI engineering, product or marketing analytics and operations roles.
A completed degree, any subject, is all it takes. No programming or analytics experience is expected; batches here mix college finalists, hospital and trade staff, and people starting a second career.
Think of them as a menu's 'serves approximately' line — a guide, not a guarantee. They come from our placement logs and public review sites, both of which change, and each learner's outcome depends on skill, background, location, employer and timing. Lenders decide EMI eligibility.
Davangere has no Uncodemy kitchen of its own; in-person teaching happens only in Delhi and Noida, so learners here follow identical batches online. If you're ever in Delhi, the Shakarpur Extension office is a few minutes from Nirman Vihar Metro.
More than 850 companies hire through us — upGrad, Clarivate, HSBC, Fiserv and Genpact among them. Our records show a Clarivate Intellectual Property Analyst, a Genpact Process Developer Analyst and Business Analysts placed at HSBC and Fiserv.
These five capstones were built by Uncodemy learners and mentored by our trainers. Each card shows the tools used, the mentor, the learner who built it and a Davangere version you can attempt with local data.
You'll take a supermarket chain's messy till data, tidy it with SQL Server and plate it in Power BI so the owner can slice revenue by outlet, week and product family — every chart answering an order from the 'customer'.
Davangere version: Run the same SQL Server + Power BI pipeline on cotton and textile mills sales from Davangere and compare months, products and outlets.
You'll draw an entity diagram for an online music store, cook it into PostgreSQL tables via PgAdmin4 and query them to see which genres sell, who keeps buying and where new demand might be.
Davangere version: Model a medical and engineering colleges catalogue the same way and rank items, customers and areas of Davangere & Central Karnataka by revenue.
You'll treat India's COVID-19 numbers as a test kitchen for messy public data — filling gaps in Pandas, mixing in rates with NumPy and baking state-wise charts in Matplotlib.
Davangere version: Clean and chart public health or footfall data for Davangere & Central Karnataka with the same Pandas and Matplotlib workflow.
You'll combine Python, SQL and Power BI into a monthly staffing, revenue and admissions report for an imaginary teaching hospital.
Davangere version: Build a scorecard of maize and agri-trade employers around Davangere — size, hiring trend and pay bands — with SQL and DAX.
You'll reduce many IPL seasons of ball-by-ball data into strike rates, economies and ground patterns, served across a 44-plus chart spread.
Davangere version: Swap IPL data for cotton and textile mills seasonality in Davangere and show peaks, slumps and outliers in one dashboard.