4.8 LPAHyderabadAnkit Singh
Data Analyst
- Placed at
- FINELABS
- Program
- Data Analytics Batch
- Batch
- DA/09/0823/S WD 7PM
Data Analytics Course in Shivamogga with Gen AI & Placement Assistance
Shivamogga is the gateway to the Malnad — a green belt of arecanut gardens, paddy fields, rubber and spice plantations, with Jog Falls and the Western Ghats drawing visitors all year. Its traders, cooperatives, rice mills and a growing number of hospitals, colleges and small manufacturers now keep their records on computers, and they want people who can turn those records into decisions. Uncodemy's Data Analytics Course grows exactly that skill in Shivamogga learners, over 6–7 months of live online classes in Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI.
There's no Uncodemy campus in the Malnad: in-person teaching takes place only in Delhi and Noida, the Delhi centre sitting in Shakarpur Extension next to DSEU Ambedkar College and a short walk from Nirman Vihar and Laxmi Nagar Metro Stations. Shivamogga learners join those same batches online and reap 120-plus hours of learning, 75-plus trainer-led classes, field-style projects and a placement mentor of their own. The fee is ₹17,500, plus 18% GST — ₹20,650 in all.
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 ShivamoggaLive Online (classroom only at Delhi & Noida centres)
EMIFrom ₹4,032/month
Program Details
Data Analytics with Gen AI — Instructor-Led Training & Career Support Program
Over six to seven months of live online classes, Shivamogga learners cultivate Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI skills, practising on arecanut-market, cooperative-society, rice-mill and tourism data, with a mentor tending progress and an interview season at the end.
- 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 Shivamogga — 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 harvested, learners can take an APMC arecanut register, a cooperative's member ledger or a homestay's booking sheet and produce a clean, analysed and persuasive summary with the right tool. After career preparation, eligible learners apply for analyst jobs; a few outcomes from our records are listed.
4.8 LPAHyderabad
4.8 LPAIndiaAshish Butola
Data Analyst
- Placed at
- Allsoft Solutions
- Program
- Data Analytics Batch
- Batch
- DS/12/0823/IR WE 12 PM
4.0 LPADelhiRajat Kashyap
Data Analyst
- Placed at
- Hexalog
- Program
- Data Analytics Batch
- Batch
- DS/DA Weekend July Batch 10 AM
3.25 LPAPuneSagar B. Shembade
Data Analyst
- Placed at
- SmartStudy
- Program
- Data Analytics Batch
- Batch
- DA/WD/S 08:00 PM 08 JAN-UC
3.0 LPANoidaPriyanka Kumari
Data Analyst
- Placed at
- CloudFirst Digital
- Program
- Data Analytics Batch
- Batch
- DS/DA Weekend July Batch 10 AM
3.0 LPADelhiShruti Saxena
Data Analyst
- Placed at
- Jepius Healthcare
- Program
- Data Analytics Batch
- Batch
- DS/DA/09/UP WD 12:30 PM
Location badges show where each learner was placed. Shivamogga 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?
Arecanut prices in Shivamogga's market can swing sharply within a single season. A grower deciding when to sell, a trader deciding how much to hold, a cooperative deciding how much credit to extend — each is really asking a data question. Data analytics answers it by cleaning past records, testing patterns with statistics and drawing the results so that the decision rests on evidence rather than rumour. Hospitals, colleges, banks and tourism businesses across the Malnad rely on the same discipline.
What does a data analyst do?
A Shivamogga analyst might start the week pulling APMC or cooperative data with SQL, spend a day fixing misspelt member names and missing weights, compare seasons, varieties or branches in Excel or Python, build a Power BI or Tableau view and then sit down with a trader, society secretary, hospital administrator or homestay owner to decide what to do next.
Data Analytics vs Data Science vs Business Analytics
Picture an arecanut cooperative. Analytics explains why last year's average price slipped; data science forecasts this season's price range; business analytics advises when members should sell and how much credit to offer.
| 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 shown are rough first-job figures from the referenced sources; what a Malnad graduate is offered depends on employer, role, skill, experience and timing.
Course Overview
Shivamogga learners grow their skills over 6–7 months, through more than 75 live online classes and 120-plus learning hours. Excel and SQL are sown first; Python, statistics, data cleaning and exploratory analysis follow; Power BI, Tableau and Generative AI ripen at the end. Market, cooperative and service datasets feature throughout, each phase closes with a guided build and the capstone becomes the pride of your portfolio.
Who should join this course:
- Shivamogga, Bhadravati and Sagar learners who want live teaching while staying close to home in the Malnad.
- Graduates of Kuvempu University, JNNCE, Sahyadri colleges and other institutions — any stream — looking for analytics work.
- Staff at arecanut traders, cooperative societies, rice mills and plantation offices who already keep registers and spreadsheets.
- Employees of hospitals, banks and tourism businesses near Jog and Agumbe wanting to move into analysis.
- Village-level computer operators and MIS clerks keen to add SQL, Python and dashboards to Excel.
Eligibility: You'll need a bachelor's degree in any subject (the eligibility criteria page gives full details). Programming is taught from the first seed — SQL and Python start at zero. A friendly relationship with numbers helps, and the statistics module rebuilds the rest. A laptop with 8GB RAM and a steady internet connection — even in the Malnad monsoon — is recommended.
Upcoming Data Analytics Course Batches in Shivamogga
Live batches run on weekdays and at weekends, scheduled around Kuvempu University terms, auction days at the APMC and the harvest calendar. A free online demo is open to anyone who wants to sample a class.
DateTimeTrainerSeats Left
Weekdays
- 19 Oct02:00 PM – 03:00 PMMr. Upendra02 Seats
- 02 Nov10:30 AM – 11:30 AMMs. Rachna01 Seat
- 09 Nov12:00 PM – 01:00 PMMr. Abhi02 Seats
- 16 Nov07:30 PM – 08:30 PMMr. Rahul01 Seat
Weekends
- 28 Nov03:00 PM – 05:00 PMMr. Irshad02 Seats
Seats are limited and updated daily. All timings are in IST.
Data Analytics Course Syllabus & Curriculum in Shivamogga
Think of the 120-plus hours as a crop calendar in nine stages: sourcing records, weeding out errors, analysing, reading the signals, charting them and presenting to whoever must decide. A graded practical on real data closes each stage, and the ninth gathers your finest produce 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 |
IK
Curriculum Reviewed by
Irshad Khan — Senior Trainer, 8+ Years Experience. Specialization: Data Science, Data Analytics, Business Analyst, SQL, Power BI, Python, Generative AI, Agentic AI.
Get Your Data Analytics Certification In Shivamogga
Once all nine modules, every assignment and the capstone are complete, Shivamogga learners receive the Uncodemy Data Analytics Program Certificate — naming the course, its length in months, the tools covered and the finishing date, with a verification code. It is issued only after coursework and assessments are cleared.
Whether it's a Sagar cooperative or a Bengaluru recruiter, people want to see what you've grown. You'll carry a basket of marked spreadsheet, SQL, Python, statistics, BI and Gen AI assignments, plus a capstone you planned, built and presented alone.
Key Benefits of Our Data Analytics Certification:
- Program Completion: Shows the whole Malnad batch curriculum was completed.
- Online Verification: Uncodemy's portal confirms its authenticity on request.
- Practical Learning: Rooted in graded builds and a capstone of your design.
Cooperatives, hospitals and corporate recruiters can confirm a Shivamogga learner's certificate on Uncodemy's online portal whenever they need to.
Uncodemy Certificate Verification — Online Certificate Verification & Download: certificate.uncodemy.com
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Tools and Technologies Covered
- Excel
- Tableau
- Power BI
- NumPy
- Python
- Pandas
- SQL
- Statistics
- ChatGPT
- Copilot
Introducing Uncodemy
Uncodemy is run by Uncodemy Edutech Pvt. Ltd. and plants every course with a single aim: helping learners get hired. Classroom batches meet in Delhi and Noida; live online batches carry the same teaching to Shivamogga and every corner of India. Learners include beginners, graduates, freshers and working people who want practical skills.
During the course you'll apply Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI to real datasets through projects — the same kind of work an analyst at a Malnad cooperative, a Shivamogga hospital or a Bengaluru company does every week. The syllabus is open to read, module by module, before you join.
Classes are nourished by mentor time, graded practice, project feedback, mock interviews and job alerts. You'll receive the career support policy in writing before paying, explaining what's included, what isn't and who qualifies.
Other courses for Shivamogga learners
Malnad learners drawn to AI, Machine Learning, Data Science or Business Analysis can enrol in those live online courses with Uncodemy as well.
Enroll in Our Data Analytics Training in Shivamogga Today!
Start in Shivamogga — join live classes, practise on market, cooperative and service data, grow a portfolio and prepare for analyst roles in the Malnad, Bengaluru or remote teams.
Data Analyst Jobs and Career Scope in Shivamogga & the Malnad
Shivamogga's economy is rooted in agriculture and trade. Its APMC is among the most important arecanut markets in the country, handling huge volumes of chali and red varieties; cooperative societies such as those serving arecanut growers manage procurement, credit and member accounts; and rice mills, coffee and pepper traders, and rubber and spice estates generate seasonal price, stock and yield data.
Bhadravati's steel and paper heritage, small engineering units, hospitals and medical colleges, Kuvempu University and engineering colleges, banks and microfinance lenders add further reporting work. Tourism around Jog Falls, Agumbe and the Sharavathi backwaters supports homestays and resorts that juggle bookings and seasonality.
With Bengaluru reachable by road and rail and remote work common, many Shivamogga learners also target city and work-from-home roles. Everywhere, SQL and a BI tool are expected; what earns an offer is the ability to define the business question, choose the right measure and explain the recommendation simply.
Job Roles After This Course
Graduates in the Malnad generally try for Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst posts. An arecanut trader asks when to sell, a society secretary which members are slipping, a hospital how busy next week will be — 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 |
Malnad freshers usually start as Data, MIS or Business Analysts and, two to four years on, branch into BI, agri-commodity, product, marketing or operations analytics. Growth comes from owning complete analyses and learning a sector's vocabulary, not from stacking certificates.
Data Analyst Salary in Shivamogga — Experience-wise
An analyst's pay depends on experience, sector and real command of SQL and BI, and two people with the same title may earn very differently. Profiles that stop at charts usually start low; those who can also write efficient queries, untangle a messy brief and argue for a decision 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.
Shivamogga's traders, cooperatives and local firms often open below Bengaluru packages, while hospital groups, national companies and remote employers can pay more within each band. All 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 Shivamogga & the Malnad
Uncodemy recruits through a network of more than 850 companies across India. For Malnad learners, analyst openings most often appear in:
Arecanut, coffee, pepper and paddy trade — price, arrival, stock and procurement analytics
Cooperative societies and rural finance — member credit, recovery and branch performance
Rice mills, steel and paper units — production, yield and dispatch reporting
Healthcare, education and tourism — patient-flow, admissions and homestay booking dashboards
Bengaluru and remote roles — analytics jobs beyond the Malnad
Traders, cooperatives and hospitals each look for different strengths, so choose where you'd like to work and tend your portfolio in that direction.
How to Become a Data Analyst — Step by Step
Analytics skills grow like an arecanut palm — slowly, season by season, each ring supporting the next. Skip a season and it shows, usually in a technical interview or your first months at work.
- 1
Plant Excel roots — XLOOKUP, pivots and Power Query so a variety-wise or member-wise summary takes minutes.
- 2
Grow SQL strength — joins connecting arrivals to auctions and auctions to payments, grouped totals, nested queries and window functions such as RANK and LAG.
- 3
Branch into Python — Pandas and NumPy for multi-season market data, plus scripts that rebuild reports automatically.
- 4
Prune with statistics — sampling, significance tests and regression, so price or yield conclusions stand firm.
- 5
Let one BI tool flower — Power BI using DAX, or Tableau using calculated fields — until a cooperative's secretary can read the dashboard at the monthly meeting without you.
- 6
Gather a Malnad harvest — three to five portfolio projects, perhaps red-versus-chali arecanut prices, homestay seasonality near Jog or member loan recovery, each ending with advice.
- 7
Bring it to the mandi — practise SQL against a timer, talk through mock cases aloud and let your CV state what each project improved.
Most Shivamogga learners reach interview readiness after six to seven months of steady tending — a daily hour, kept up through monsoon and harvest, matters more than occasional long sessions.
How This Course Compares to Other Data Analytics Courses in Shivamogga
Malnad learners can choose from many analytics courses, many of them Bengaluru-based, at very different prices. Here is a simple list of 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 |
Six to seven months can feel like a long growing season, yet Malnad and Bengaluru employers now expect juniors to move from a spreadsheet to SQL, on to a Python script and finally to a dashboard inside one assignment. If your aim is only tidier Excel and Power BI for a shop or society office, a cheaper recorded course might be all you need.
Online vs Offline vs Hybrid — Which Should You Choose?
Syllabus, trainers, projects and fee are the same in every format. From Shivamogga, live online classes are the natural choice — real-time teaching at home, doubts answered immediately and timings that fit college, market days or estate work.
Uncodemy's physical classrooms are in Noida and Delhi's Shakarpur area, far to the north, so hybrid study isn't practical from the Malnad. Online learners lose nothing — the same live teaching, recordings, doubt support and placement help apply, and an approved format switch 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 Shivamogga
The people who teach Shivamogga batches. There is no Uncodemy classroom in Shivamogga, so learners from Shivamogga & the Malnad 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 Shivamogga wants a capstone built on arecanut and coffee trade or cooperative finance 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.
Mr. Upendra Kumar Tiwari
Senior Data Science Trainer
ExpertiseData ScienceData AnalyticsMachine Learning
About
15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Live projects
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.
Mr. Irshad Khan
Data Analytics & AI Trainer
ExpertisePythonSQLMachine LearningTableauArtificial IntelligenceDeep LearningPower BIMLOps
About
8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Live projects
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.
Mr. Syed Najeeb
Data Analytics & AI Trainer
ExpertisePythonMLDLNLPPower BITableauSPSSSASMS-ExcelSQLHTMLCSS
About
7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
Live projects
AI agent chat/voice bot, AI-driven data analysis, a sales-forecasting ML model, NPS data model evaluation, and a face-recognition model for biometrics.
Mr. Kunal Arora
Data Analytics Trainer
ExpertisePythonSQLExcelPower BITableauMLDLNLPTime SeriesIoT DevicesPrompt EngineeringChatbots
About
5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Live projects
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.
Ms. Rachna Verma
Data Analytics Trainer
ExpertiseAdvanced ExcelSQLPower BITableauPythonData VisualisationStatistics
About
Trainer for the analytics and business intelligence track at Uncodemy, working with learners on Excel, SQL and BI tooling from first principles to interview-ready projects.
Live projects
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.
Mr. Abhi
Data Analytics Trainer
ExpertisePythonSQLPower BIExcelTableau
About
3+ years building generative AI and machine learning systems, now Senior Gen AI Engineer at Uncodemy, with deep work in RAG, knowledge graphs, data analysis and AWS.
Live projects
NEMI, an enterprise memory system built on RAG, knowledge graphs and vector databases, plus automated web-scraping bots and generative AI chatbots and predictive analytics for startups.
Mr. Rahul
Data Analytics Trainer
ExpertiseSQLAdvanced ExcelPower BIPythonTableau
About
14+ years in banking and insurance operations at Aon Hewitt, NIIT Technologies and Coforge, now teaching Excel, SQL, Python and Power BI through real business scenarios.
Live projects
MIS reports and Excel dashboards for leadership tracking SLAs, error rates and backlog, SQL data cleaning and validation across systems, and live Power BI dashboards.
Mr. Anshul
Data Analytics Trainer
ExpertisePythonSQLExcelPower BIData Visualization
About
5+ years across roles at Concentrix, Amazon and Tech Mahindra. A certified Data Scientist who now teaches data science and analytics as Academic Faculty at Uncodemy.
Live projects
Credit risk management analytics at Tech Mahindra, business communications analytics, and chatbot solutions built with prompt engineering and machine learning.
Dr. Vijay K. Gupta
MD & CEO
ExpertiseEdTech LeadershipEducation & TrainingResearch & Mentorship
About
Founder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Live projects
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.
Gangesh Kumar Gaunr
CEO & Founder
ExpertiseTechnology StrategyCloud & AI SolutionsEdTech Leadership
About
CEO & Founder of GvCloud Secure and Uncodemy with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.
Live projects
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Frequently Asked Questions
What is the duration of the Data Analytics course in Shivamogga?
About six to seven months: more than 75 live online classes and over 120 hours of learning. Malnad learners choose weekday or weekend batches, which helps during harvest and market season.
Can I learn data analytics without a coding background?
No coding background? That's the usual starting point in Shivamogga. SQL begins with a single SELECT line, Python with variables, and the first two months focus mainly on Excel and SQL.
What tools are covered in this course?
Ten-plus tools. For crunching data: SQL, Python, Pandas, NumPy. For reasoning: Statistics. For showing results: Excel, Power BI, Tableau. For speed: ChatGPT and Copilot.
Does the course include a Gen AI module?
Yes — Module 8 offers eight hours on Gen AI: telling an assistant exactly what you need from a dataset, checking the SQL or Python it gives back, using Copilot in Excel and Power BI, and catching numbers that don't add up.
How many projects will I complete?
Half a dozen: guided builds on retail, banking, HR, e-commerce and hospital data, plus a capstone you choose. Arecanut auction prices or cooperative recovery data would make Shivamogga interviewers sit up.
Are the classes live or pre-recorded?
Every class is live with a trainer — all 75-plus — and recordings are uploaded afterwards. Online, classroom and hybrid learners share one syllabus.
What is the fee for the Data Analytics course in Shivamogga?
The full bill for Malnad learners is ₹20,650 — ₹17,500 with 18% GST added — and nothing more is charged for notes, project feedback, certification or placement help. Monthly payments may begin at ₹4,032.
Are EMI options available?
Monthly plans open at ₹4,032. The lender you choose sets tenure and sanction, and a counsellor walks you through the paperwork.
Is there a demo class before I enrol?
Yes — book a free live demo from Shivamogga, watch a trainer teach, ask questions and browse the syllabus before paying.
Do you provide placement assistance?
We help with a CV and LinkedIn rework, portfolio critique, mock interviews and vacancy alerts from 850-plus recruiting partners. The hiring decision always rests with the employer, so nobody can promise you a job.
Can a fresher get a data analyst job after this course?
Yes. Traders, cooperatives, hospitals, rice mills and remote analytics teams take on freshers who can show SQL, a BI tool and real projects. Starting pay usually falls around ₹3–6 LPA.
What is the salary of a data analyst in Shivamogga?
Guide figures: freshers around ₹3–6 LPA, a few years in roughly ₹6–10 LPA, seniors about ₹10–15 LPA. Malnad employers often pay below Bengaluru or remote teams for the same title; no number is guaranteed.
What job roles can I apply for after this course?
Most Malnad alumni begin as Data, MIS or Business Analysts and later move into BI, agri-commodity analytics, reporting, product or operations roles.
Who is eligible for this Data Analytics course?
If you've completed a degree in any subject, you qualify. No programming or analytics exposure is expected; Shivamogga batches mix Kuvempu students, society and trader staff, and people starting over.
Are the salary, placement and review figures on this page guaranteed?
They're indicative, drawn from Uncodemy's placement records and public review sites, which change over time; your result and EMI approval depend on your own circumstances.
Is classroom training available in Shivamogga?
There's no Uncodemy classroom anywhere in the Malnad; in-person teaching happens only in Delhi and Noida, so Shivamogga learners follow identical batches online. In Delhi? The Shakarpur Extension office is a short walk from Nirman Vihar Metro.
Which companies hire Uncodemy learners?
The recruiter pool passes 850 firms — Genpact, HSBC, Clarivate, upGrad and Fiserv among them. On record: HSBC and Fiserv Business Analysts, a Genpact Process Developer Analyst and a Clarivate Intellectual Property Analyst.
Student Project For Data Analytics
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 Shivamogga version you can attempt with local data.
UncodemyDATA ANALYTICSSales Analysis Dashboard
You'll tidy a retailer's sales tables in SQL Server and grow them into a Power BI dashboard where revenue can be filtered by town, month and category, each chart answering a set question.
Shivamogga version: Run the same SQL Server + Power BI pipeline on arecanut and coffee trade sales from Shivamogga and compare months, products and outlets.
Python
Excel
Power BI
SQL
Ms. Rachna VermaData Analytics Trainer
Sagar Bajirao ShembadeData AnalystUncodemyDATA ANALYSTMusic Store Analysis
You'll sketch and build an online music store's PostgreSQL database in PgAdmin4, then query it for popular genres, loyal customers and untapped regions.
Shivamogga version: Model a rice mills and paper units catalogue the same way and rank items, customers and areas of Shivamogga & the Malnad by revenue.
Power BI
DAX
CSV
GitHub
Dr. Vijay K. GuptaMD & CEO
Ankit SinghData AnalystUncodemyDATA ANALYTICSCovid 19 Pandemic Analysis
Learners treat India's pandemic data like a patchy rain-gauge record — filling gaps in Pandas, calculating rates in NumPy and plotting each state's waves with Matplotlib.
Shivamogga version: Clean and chart public health or footfall data for Shivamogga & the Malnad with the same Pandas and Matplotlib workflow.
Python
Pandas
Jupyter NotebookGitHub
Mr. Upendra Kumar TiwariSenior Data Science Trainer
Shruti SaxenaData AnalystUncodemyDATA ANALYTICSCompany Insights 360°
You'll link Python, SQL and Power BI into a monthly member, revenue and recovery report for an imaginary arecanut cooperative.
Shivamogga version: Build a scorecard of cooperative finance employers around Shivamogga — size, hiring trend and pay bands — with SQL and DAX.
PythonSQLPower BIDAXMs. Rachna VermaData Analytics Trainer
Rajat KashyapData AnalystUncodemyDATA ANALYTICSIPL Analysis Dashboard
A long run of IPL ball-by-ball data is distilled into strike rates, economies and ground-by-ground patterns across a 44-plus chart gallery.
Shivamogga version: Swap IPL data for arecanut and coffee trade seasonality in Shivamogga and show peaks, slumps and outliers in one dashboard.
PythonJupyter NotebookPower BISQLMr. Upendra Kumar TiwariSenior Data Science Trainer
Pawan MehraData AnalystWhy Trust This Page? Discover Why Students Choose Uncodemy
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