4.8 LPAHyderabadAnkit Singh
Data Analyst
- Placed at
- FINELABS
- Program
- Data Analytics Batch
- Batch
- DA/09/0823/S WD 7PM
Data Analytics Course in Kalaburagi with Gen AI & Placement Assistance
Kalaburagi is called India's tur dal bowl — its dal mills process pigeon pea grown across the Kalyana Karnataka plains — and the district's limestone feeds some of the country's largest cement plants at Sedam and Shahabad. It is also a university town, home to Gulbarga University, the Central University of Karnataka, ESIC and other medical colleges. Scholars and workers alike are discovering that data skills open doors here and far beyond. Uncodemy's Data Analytics Course teaches those skills over 6–7 months of live online study in Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI.
Uncodemy keeps lecture halls only in Delhi and Noida; the Delhi premises lie in Shakarpur Extension beside DSEU Ambedkar College, a brief walk from Nirman Vihar and Laxmi Nagar Metro Stations. Kalaburagi scholars attend those same lectures over a live link and receive in excess of 120 hours of study, 75-plus trainer-led sessions, applied projects and a personal placement adviser. Tuition is ₹17,500; with 18% GST the total is ₹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 KalaburagiLive Online (classroom only at Delhi & Noida centres)
EMIFrom ₹4,032/month
Program Details
Data Analytics with Gen AI — Instructor-Led Training & Career Support Program
Kalaburagi scholars read Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI across six to seven months of live online sessions, applying each to dal-mill, cement, healthcare and university data, with an adviser reviewing progress and a final viva-style interview round.
- 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 Kalaburagi — 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
On completing the programme, a Kalaburagi learner can examine an unfamiliar dal-mill procurement register, cement dispatch log or hospital admissions file and present a clean, rigorous and persuasive analysis using the appropriate tool. After career preparation, eligible scholars apply for analyst positions; representative outcomes follow.
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. Kalaburagi 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?
A Kalaburagi dal mill buys tur from thousands of farmers whose crop varies with rainfall, then grades, mills and sells dal to wholesalers across India. When to buy, how much to store and at what price to sell are, at heart, research questions. Data analytics answers them by cleaning records, testing hypotheses statistically and presenting findings visually, so that decisions rest on evidence. Hospitals, universities, cement plants and banks across Kalyana Karnataka apply the same method.
What does a data analyst do?
An analyst's week resembles a short research cycle: retrieving data with SQL, cleansing inconsistent entries, comparing seasons, plants, wards or departments in Excel or Python, publishing a Power BI or Tableau dashboard and then defending the conclusions before a mill owner, plant manager, hospital superintendent or university administrator.
Data Analytics vs Data Science vs Business Analytics
Consider a dal mill. Analytics explains why margins fell after last year's poor monsoon; data science forecasts the coming season's arrivals and prices; business analytics recommends procurement timing and storage policy.
| 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 |
Stated salary ranges are approximate entry figures drawn from the cited sources; offers to Kalaburagi graduates vary with employer, role, skill, experience and location.
Course Overview
Kalaburagi scholars complete the programme in 6–7 months, through more than 75 live online sessions and over 120 hours of study. Excel and SQL form the first semester, so to speak; Python, statistics, data cleaning and exploratory analysis the second; Power BI, Tableau and Generative AI the third. Real datasets feature in every session, each phase ends with a guided project and the capstone serves as your thesis.
- Kalaburagi, Bidar and Yadgir learners who want rigorous live teaching without relocating to Hyderabad or Bengaluru.
- Students and graduates of Gulbarga University, the Central University of Karnataka, PDA College of Engineering, Sharnbasva University and other institutions, in any discipline.
- Procurement and accounts staff at dal mills, cement plants, ginning units and traders who already maintain registers.
- Nurses' station coordinators, bank officers and taluk-office staff who want analytical work rather than repetitive entry.
- Research assistants and MIS clerks wanting to add SQL, Python and BI to Excel.
Eligibility: Admission requires a bachelor's degree in any discipline (see the eligibility criteria page for particulars). No programming background is presumed; SQL and Python are taught from first principles. Familiarity with basic mathematics is helpful, and the statistics module develops the remainder systematically. Scholars should use a laptop with 8GB RAM and a stable internet connection.
Upcoming Data Analytics Course Batches in Kalaburagi
Weekday and weekend live batches are offered to Kalaburagi scholars, timed around university semesters, hospital rosters and mill seasons. A complimentary online demo session precedes enrolment.
DateTimeTrainerSeats Left
Weekdays
19 Oct
02:00 PM – 03:00 PM
Mr. Upendra02 Seats02 Nov
10:30 AM – 11:30 AM
Ms. Rachna01 Seat09 Nov
12:00 PM – 01:00 PM
Mr. Abhi02 Seats16 Nov
07:30 PM – 08:30 PM
Mr. Rahul01 SeatWeekends
28 Nov
03:00 PM – 05:00 PM
Mr. Irshad02 SeatsSeats are limited and updated daily. All timings are in IST.
Data Analytics Course Syllabus & Curriculum in Kalaburagi
Nine modules and 120-plus hours trace the life of a real enquiry, from the first question to the final presentation: fetch the records, purify them, analyse them, draw meaning, chart it and brief whoever asked. Each module ends with a graded practical on authentic data, and module nine binds 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
| 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 Kalaburagi
Pass the nine modules, the assignments and the capstone, and Uncodemy confers its Data Analytics Program Certificate on you — recording the course name, months of study, tools mastered, completion date and a lookup reference.
Just as a thesis needs its data appendix, your certificate comes with evidence: marked spreadsheet, SQL, Python, statistics, BI and Gen AI assignments and a capstone you researched and defended alone.
Key Benefits of Our Data Analytics Certification:
- Program Completion: Certifies completion of the entire Kalaburagi batch curriculum.
- Online Verification: Its authenticity can be confirmed on Uncodemy's portal.
- Practical Learning: Substantiated by graded work and an independent capstone.
Employers and admissions committees may authenticate a Kalaburagi scholar's certificate through Uncodemy's online portal at any time.
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, administered by Uncodemy Edutech Pvt. Ltd., designs each programme with employment as its stated outcome. Lecture halls operate in Delhi and Noida, while live online cohorts extend identical instruction to Kalaburagi and every region of India. Scholars include beginners, graduates, freshers and serving professionals.
Across the programme, Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI meet real datasets in project form. The tasks resemble a working week at a tur-dal mill's procurement desk, a Sedam cement plant's dispatch office, an ESIC hospital's records section or a university's admissions cell — so employment feels like the next chapter. Every module is listed publicly before admission.
Instruction is supported by advisory hours, graded exercises, project feedback, mock interviews and career guidance. A written career support policy, issued before admission, defines the assistance offered, its limits and eligibility.
Other courses for Kalaburagi learners
Kalaburagi scholars may alternatively pursue Uncodemy's live online programmes in Artificial Intelligence, Machine Learning, Data Science or Business Analysis.
Enroll in Our Data Analytics Training in Kalaburagi Today!
Enrol from Kalaburagi to attend live online sessions, practise on dal, cement and healthcare data, compile a portfolio and prepare for analyst roles in Kalyana Karnataka, Hyderabad, Bengaluru or remote teams.
Data Analyst Jobs and Career Scope in Kalaburagi & Kalyana Karnataka
Kalaburagi's industrial profile is defined by agriculture and minerals. Hundreds of dal mills process tur from the surrounding districts, making procurement timing, grading yields and wholesale pricing critical analytical problems. The Sedam–Shahabad belt hosts large cement plants and limestone and stone-quarrying operations whose production, energy and dispatch data require careful monitoring; cotton ginning and sugar units add further industrial demand.
The city's academic and medical institutions — Gulbarga University, the Central University of Karnataka, engineering colleges, ESIC and other medical colleges and hospitals — generate administrative and clinical data. Government development programmes under the Kalyana Karnataka Region Development Board, banks and microfinance institutions add MIS and credit-analysis work.
Hyderabad, roughly 220 km away, and Bengaluru are major destinations, and remote analytics roles are increasingly accessible. Across employers, SQL and a BI tool are expected; distinction comes from formulating the business question precisely, selecting an appropriate metric and articulating a clear recommendation.
Job Roles After This Course
Typical targets for Kalaburagi graduates are Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst vacancies. One dal mill asks when to buy tur, a cement plant why trucks queue at the gate, a hospital why OPD waits lengthen — and the answers are built in 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 |
Kalaburagi freshers commonly begin as Data, MIS or Business Analysts and, within two to four years, advance into BI, supply-chain, healthcare, product or operations analytics. Progress depends on independently completing analyses and mastering a sector's terminology.
Data Analyst Salary in Kalaburagi — Experience-wise
Earnings follow experience, sector and how well you actually handle SQL and BI; two analysts with an identical title may be paid quite differently. Those who stop at charts usually start near the bottom of the bracket, whereas those who also query efficiently, frame problems clearly and make a reasoned case for action start higher and rise more quickly.
| 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.
Dal mills and traders around Kalaburagi often open below Hyderabad or Bengaluru packages; cement majors, large hospitals and work-from-home teams can reach higher within each bracket. All figures are illustrative and shift with role, ability, experience, city, employer and market; Uncodemy assures neither pay nor placement.
Top Hiring Sectors for Data Analysts in Kalaburagi & Kalyana Karnataka
Uncodemy connects learners with a recruiter pool of over 850 Indian firms. Across Kalyana Karnataka, analyst openings tend to cluster in:
Dal mills and agri-trade — tur procurement, grading yield, storage and price analytics
Cement and minerals — production, energy, quarry and dispatch reporting in the Sedam–Shahabad belt
Healthcare and medical colleges — patient flow, billing and clinical-operations dashboards
Universities, development programmes and banking — academic MIS, scheme monitoring and credit analysis
Hyderabad, Bengaluru and work-from-home openings — analytics jobs a train ride or a laptop away
Mills, cement plants and hospitals emphasise different competencies, so scholars should choose a field early and orient their portfolio accordingly.
How to Become a Data Analyst — Step by Step
Analytical competence develops much like scholarship: foundational reading precedes advanced research, and gaps in the foundation surface under examination — typically in a technical interview or the first months of employment.
- 1
Foundations in Excel — XLOOKUP, pivot tables and Power Query for rapid season-wise or plant-wise summaries.
- 2
Fluency in SQL — joins, aggregation, subqueries and window functions across procurement, dispatch or patient tables.
- 3
Methods in Python — Pandas and NumPy for large datasets and reproducible, automated reporting.
- 4
Statistical inference — sampling, hypothesis testing and regression, so that conclusions withstand peer scrutiny.
- 5
Visual communication — Power BI with DAX or Tableau with calculated fields, refined until a mill owner can read your dashboard as easily as a dal-price board.
- 6
A research portfolio — three to five projects, such as rainfall versus tur prices or cement dispatch efficiency, each concluding with a recommendation.
- 7
The viva — rehearse SQL under a timer, present mock cases aloud and let every CV line report a measured result.
Kalaburagi scholars usually need about half a year of disciplined evening study — the steady rhythm of a good semester — before interviews feel comfortable.
How This Course Compares to Other Data Analytics Courses in Kalaburagi
Scholars in Kalaburagi will find analytics courses at markedly different prices, many based in Hyderabad or Bengaluru. The following summary specifies what this programme provides.
| 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 six to seven months? Because employers now set juniors tasks that begin in Excel, need SQL, may call for a Python script and end on a dashboard. Cheaper recorded courses exist; someone after only an Excel and Power BI refresh could sensibly choose one.
Online vs Offline vs Hybrid — Which Should You Choose?
Syllabus, faculty, projects and fee are the same whichever way you study. Living in Kalaburagi, live online learning is the obvious choice — sessions streamed in real time to home or hostel, questions answered on the spot and timings that work around semester exams or mill seasons.
Lecture halls exist only in Noida and Delhi (Shakarpur), so hybrid study is impractical from Kalyana Karnataka. Online scholars receive identical instruction, recordings, doubt support and placement services, and a permitted change of format preserves 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 Kalaburagi
Who you will learn from in Kalaburagi. Live sessions for Kalaburagi 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 Kalaburagi & Kalyana Karnataka often work with tur dal processing, cement and limestone and healthcare and education 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.
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.
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.
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 Kalaburagi?
The term of study is six to seven months, during which Kalaburagi scholars attend over 75 live online sessions totalling more than 120 hours, in weekday or weekend cohorts aligned with university calendars.
Can I learn data analytics without a coding background?
Prior programming is not presumed. Scholars from arts, commerce, agriculture or life sciences begin SQL with a basic SELECT and Python with variables, while the first two months concentrate on Excel and SQL.
What tools are covered in this course?
Over ten instruments of analysis are taught: SQL, Python, Pandas, NumPy and Statistics for investigation; Excel, Power BI and Tableau for presentation; ChatGPT and Copilot for AI-assisted work.
Does the course include a Gen AI module?
Module 8 devotes eight hours to Generative AI — structuring prompts for data enquiries, scrutinising AI-generated SQL and Python, applying Copilot in Excel and Power BI, and identifying unreliable AI output.
How many projects will I complete?
Scholars produce six projects: five guided studies across retail, banking, HR, e-commerce and healthcare, and an independent capstone akin to a short thesis. Tur procurement or hospital-flow data would suit Kalaburagi employers well.
Are the classes live or pre-recorded?
Every one of the 75-plus sessions is delivered live by a trainer, with recordings available afterwards; a single syllabus governs all formats.
What is the fee for the Data Analytics course in Kalaburagi?
Kalaburagi scholars pay ₹20,650 all-inclusive — ₹17,500 with 18% GST on top — covering lectures, notes, project feedback, certification and placement help. Instalments can begin at ₹4,032 per month.
Are EMI options available?
Instalment plans commence at ₹4,032 monthly; tenure and approval rest with the financing partner, and a counsellor arranges the details.
Is there a demo class before I enrol?
A complimentary live demo may be attended from Kalaburagi to observe instruction, question a trainer and examine the syllabus prior to enrolment.
Do you provide placement assistance?
The placement office revises CVs and LinkedIn profiles, reviews portfolios, conducts mock interviews and circulates openings from more than 850 companies; final hiring rests with employers, so employment is not guaranteed.
Can a fresher get a data analyst job after this course?
Freshers are hired: tur-dal mills, the cement belt, ESIC and private hospitals and remote analytics teams all recruit newcomers who can demonstrate SQL, a dashboard tool and completed projects. Opening offers typically sit around ₹3–6 LPA.
What is the salary of a data analyst in Kalaburagi?
As a guide: roughly ₹3–6 LPA at the start, ₹6–10 LPA after a few years and ₹10–15 LPA at senior level. Kalaburagi positions often pay below Hyderabad or Bengaluru for the same title; no particular figure is promised.
What job roles can I apply for after this course?
Initial appointments are typically as Data, MIS or Business Analysts, followed by progression into BI, supply-chain, healthcare, reporting or operations analytics.
Who is eligible for this Data Analytics course?
A completed degree in any subject is the sole requirement; no coding or analytics background is assumed, and cohorts blend university finalists, mill and hospital staff, and career changers.
Are the salary, placement and review figures on this page guaranteed?
These are indicative values from Uncodemy's records and public review platforms, subject to revision; individual outcomes and EMI approval vary.
Is classroom training available in Kalaburagi?
There is no Uncodemy lecture hall in Kalyana Karnataka; in-person teaching takes place only in Delhi and Noida, so Kalaburagi scholars follow those cohorts online. In the capital, the Shakarpur Extension office is close to Nirman Vihar Metro.
Which companies hire Uncodemy learners?
The recruiter list passes 850 companies — Clarivate, Genpact, Fiserv, upGrad and HSBC among them. Placement records include a Clarivate Intellectual Property Analyst, a Genpact Process Developer Analyst and Business Analysts at HSBC and Fiserv.
Student Project For Data Analytics
Real projects from past batches — open the code on GitHub, see who mentored it, then try the Kalaburagi version on each card using data from Kalaburagi & Kalyana Karnataka.
UncodemyDATA ANALYTICSSales Analysis Dashboard
Raw till data from a fictional supermarket chain is cleaned through SQL Server and turned into a Power BI view where managers can compare outlets, weeks and categories at a glance.
Kalaburagi version: Run the same SQL Server + Power BI pipeline on tur dal processing sales from Kalaburagi and compare months, products and outlets.
Python
Excel
Power BI
SQL
Ms. Rachna VermaData Analytics Trainer
Sagar Bajirao ShembadeData AnalystUncodemyDATA ANALYSTMusic Store Analysis
An online music store's PostgreSQL database is designed in PgAdmin4 from an entity-relationship model and queried to establish leading genres, recurring customers and growth potential.
Kalaburagi version: Model a healthcare and education catalogue the same way and rank items, customers and areas of Kalaburagi & Kalyana Karnataka by revenue.
Power BI
DAX
CSV
GitHub
Dr. Vijay K. GuptaMD & CEO
Ankit SinghData AnalystUncodemyDATA ANALYTICSCovid 19 Pandemic Analysis
Kalaburagi scholars treat India's COVID-19 record as an exercise in imperfect public statistics — imputing gaps in Pandas, deriving rates with NumPy and graphing state-wise waves in Matplotlib.
Kalaburagi version: Clean and chart public health or footfall data for Kalaburagi & Kalyana Karnataka with the same Pandas and Matplotlib workflow.
Python
Pandas
Jupyter NotebookGitHub
Mr. Upendra Kumar TiwariSenior Data Science Trainer
Shruti SaxenaData AnalystUncodemyDATA ANALYTICSCompany Insights 360°
A three-layer pipeline — Python transforming, SQL storing, Power BI displaying — yields a monthly procurement, revenue and workforce dossier for an imaginary dal-milling firm.
Kalaburagi version: Build a scorecard of cement and limestone employers around Kalaburagi — size, hiring trend and pay bands — with SQL and DAX.
PythonSQLPower BIDAXMs. Rachna VermaData Analytics Trainer
Rajat KashyapData AnalystUncodemyDATA ANALYTICSIPL Analysis Dashboard
Scholars mine many IPL seasons for patterns — which bowlers concede least at the death, which grounds favour chasing — and publish the findings in more than 44 charts.
Kalaburagi version: Swap IPL data for tur dal processing seasonality in Kalaburagi 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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