Gen AI-Powered Data Analytics in Belagavi
Master data analytics in Belagavi with Excel, SQL & Python, build dashboards with Power BI/Tableau & GenAI, IIIT-B add-on certification and 1200+ hiring partners across Belagavi's top tech companies.
Why upGrad
Everything You Need to Land Your Dream Job
We've helped 6000+ professionals make successful career transitions. Here's what makes us different.
Free Access to 12+ Programming Tools
Industry-Ready Curriculum
Masterclasses by Industry Experts
Career Support & Placement Assistance
3 Years Access to Career Portal
Tech Stack
Get Future-Ready with the Latest Tools
- Python
- Pandas
- NumPy
- Seaborn
- Tableau
- Plotly
- Power BI
- Matplotlib
- SQL
- Excel
- MySQL
- Azure
- Kaggle
- ChatGPT
- GitHub
Curriculum
What You'll Learn
Learn data analytics using tools like Excel, SQL, Python, Power BI, and Tableau, along with data visualization and real-world analysis techniques.
What You'll Study
- Excel for Business Problem-Solving (CRISP-DM)
- Advanced Formulas, Logical Functions & Analytics Tools
- Goal Seek, Scenario Manager & Data Tables
- GenAI for Formula Generation, KPI Explanation & Summaries
What You'll Build
- Superstore Sales Dashboard with GPT
- Automated Reports using VBA + GenAI
- Real-World Demand Simulation on Kaggle Datasets
Practice & Assessment
- 50+ Excel Interview Questions
- Problem-Solving & KPI Explanation Practice
- Scenario-Based Excel Tests
What You'll Study
- End-to-end ETL & Data Modeling
- DAX Fundamentals to Advanced Use Cases
- Power BI & Tableau Visual Analytics
- Data Storytelling with GenAI-Assisted Narratives
What You'll Build
- Home Loan Default Dashboard (DAX case study)
- Retail & Superstore Profitability Dashboards
- Dynamic Tableau Dashboards with Parameters & Joins
Practice & Assessment
- 100+ DAX & BI Questions
- Dashboard Critique & Storytelling Exercises
- BI Scenario-Based Case Studies
- 4 Weekly Tests
What You'll Study
- Relational Databases & ER Modeling
- Advanced SQL: Joins, Subqueries, Window Functions
- Query Optimization using GenAI
- SQL + Azure Cloud Integration
What You'll Build
- RSVP Movie Database
- Marketplace Demand-Supply Analysis
- Cloud-Connected Analytics Workflows
Practice & Assessment
- 200+ SQL Interview Questions
- Complex Joins & Case-Based Problems
- 1 Employability Test
- 2 Weekly Tests
What You'll Study
- Python Fundamentals, Logic & Data Structures
- Functional Programming & OOP
- NumPy, Pandas & Data Visualization
- EDA Techniques with GenAI Support
What You'll Build
- Credit Risk Analysis
- Uber Trip Demand Analysis
- Stock Market Analysis using YFinance
Practice & Assessment
- 250+ Python Coding Questions
- OOP & EDA Interpretation Tests
- LeetCode & Real-Dataset Challenges
- 1 Employability Test
upGrad vs Others
What Makes This Program Stand Out?
| Category | Gen AI Powered Data Analytics | Other Data Analytics Courses |
|---|---|---|
| Learning Focus | End-to-end data analysis & dashboard building | Tool-only training |
| Coverage | Excel, SQL, Python, Power BI, Tableau, GenAI | Limited tool exposure |
| Hands-on Depth | 10+ live projects + case studies | Practice datasets only |
| Industry Alignment | Curriculum aligned to hiring trends | Generic syllabus |
| Interview Prep | 3000+ interview questions + 1:1 mock interview | Basic interview tips |
| Internship | Guided internship with 1:1 mentorship | No live exposure |
| Certification | NSDC-affiliated certification (3 certificates) | Course completion certificate |
| Outcome | Industry-ready Data Analyst | Concept familiarity |
Career Outcomes
Roles You Can Step Into
Companies are actively seeking skilled data analysts.
Top Sectors Hiring Data & AI Talent
- Tech - Google, Microsoft, Adobe
- AI Firms - OpenAI, Cohere, Fractal
- E-commerce - Flipkart, Meesho, Myntra
- Fintech - Paytm, Razorpay, PhonePe
- Healthcare - Practo, Optum, Philips
- SaaS - Salesforce, Zoho, Accenture
Our Star Faculty
Vipul Sonawane | Instructor & Data Science Trainer
He brings extensive expertise in corporate training, having conducted sessions for Lloyd’s Bank, KPMG, HSBC, JP Morgan, and Deloitte. He is also a seasoned educator across platforms like Simplilearn, upGrad, ExcelR, Imarticus, Great Learning, Masai School, GUVI-IITM, and Sunway University, Malaysia.
Niyanta Desai | Instructor & Data Science Trainer
11+ years of professional experience, specializing in Data Science, Machine Learning, and NLP. She has extensive expertise in corporate training, having conducted specialized sessions for organizations like Colgate-Palmolive, and is proficient in Data Analytics, Business Intelligence tools, and Artificial Intelligence.
Anilkumar Manchikatla | Instructor & AI/Data Science Trainer
16+ years of global experience across Atos, Siemens, AstraZeneca, and other enterprises, with international exposure in France and Germany, specializing in scaling Applied AI and Generative AI solutions. An IIT Roorkee alumnus, he serves as Principal Instructor at upGrad and AI Program Director for Telangana Government. A government awardee in technology and social impact and featured in leading publications such as Deccan Chronicle and The Indian Express.
Learner Stories
What Our Learners Have to Say
Real people. Real outcomes. From the upGrad Belagavi community.
HOW TO JOIN
Simple Admission Process
1
Submit Your Interest
Fill the enquiry form and select your preferred Belagavi offline centre.
2
Speak to a Counsellor
Discuss your background and goals with our academic team to find the best fit.
3
Confirm Your Batch
Choose morning, evening, or weekend batches based on your
schedule.
4
Start Learning
Get onboarded with your learning roadmap and begin your classroom journey.
Eligibility:
Graduation in any stream (B.E., B.Tech, B.Sc, B.Com, B.A., BBA, BCA, etc.). A basic understanding of mathematics or logical reasoning is helpful. No prior coding or analytics experience required.
Visit the Nearest Centre in Belagavi
Walk in. No appointment needed. Expert counsellors ready for you.
Centres Open Today
Offline Learning Support Centres
Learn in a
Real Classroom
Real Classroom
Structured batches, live instructor sessions and dedicated mentors — all under one roof across Belagavi .
Choose Your Nearest Centre
Fee Structure
Choose the Plan That Works for You
Scholarships available up to 50%
Pay Upfront
Rs. 99,999
Total program fee, all-inclusive
- Full curriculum access
- 3-year career portal
- IIIT-B Add-on Certification
- All tools included
Easy EMI
Flexible
Affordable monthly plans available
- No-cost EMI options
- Multiple NBFC partners
- Same curriculum & benefits
- Centre-specific plans
RECOGNIZED CERTIFICATIONS
Celebrate Your Success with Industry-Recognized Certificates
Get 3 NASSCOM-endorsed certifications upon program completion
UpGrad Certificate
Add-on IIIT-B Certificate
Guided Internship Certificate
NSDC Certificate
Start Your Data Analytics Career
in Belagavi Today
Talk to an academic counselor and get a personalized learning plan. No commitment required.
- Free 30-minute counselling session
- Scholarship eligibility check
- Custom batch recommendation
- Centre visit booking
FAQs
Questions Learners Usually Ask
Career Outcomes & Placements
Curriculum & Learning
Projects & Practical Learning
Location & Belagavi Advantage
Course Outcomes & Skills
Fees & Plans
Support & Mentorship
Should I pursue Data Analytics in Belagavi?
Yes, especially if you want a practical tech skill that connects well with business, operations, and decision making. Belagavi is steadily growing across industries and more companies now rely on dashboards, reports, customer insights, and digital workflows, which makes analytics skills increasingly valuable.
What jobs or career options can I look into after learning Data Analytics?
Students usually explore roles related to business analytics, reporting, dashboards, operations analysis, MIS, and data driven decision making. The skills are useful across startups, tech companies, ecommerce, finance, and even manufacturing related businesses.
I am not trying to become a hardcore coder. Is Data Analytics still a good fit?
Yes. Data Analytics focuses more on understanding data, finding insights, building dashboards, and solving business problems rather than intense software development.
Will I get help preparing for jobs and interviews too?
Yes. Along with classroom learning, students also receive support with resumes, interview preparation, portfolios, LinkedIn profiles, and placement readiness.
Will the program feel too technical for someone from commerce or non-tech backgrounds?
Not really. The program starts with fundamentals and gradually helps students become comfortable with analytics tools, dashboards, SQL, and business style problem solving.
What are the main tools students work with during the course?
Students usually work with tools like Excel, SQL, Power BI, Tableau, dashboards, reporting workflows, and practical analytics concepts used across industries.
I lose consistency while learning alone online. Will classroom learning feel easier?
For many students, yes. Live classroom sessions create a more structured routine, make doubt solving easier, and help people stay more accountable throughout the learning journey.
Is this more practical or mostly theory based?
The focus stays heavily on practical implementation. Students spend time working with datasets, dashboards, reports, and analytics tasks instead of only memorizing concepts.
Will I only make dashboards for practice, or build things that actually feel industry level?
The projects are designed to feel much closer to real business work than classroom exercises. Students work on analytics tasks involving reports, trends, dashboards, customer data, and business performance scenarios.
Do students get to work with messy, real-looking datasets too?
Yes. The learning experience goes beyond clean textbook examples and introduces students to realistic datasets that require actual analysis, interpretation, and problem solving.
Can these projects genuinely help someone stand out during interviews?
Definitely. Strong analytics projects give students something real to talk about during interviews instead of only listing tools and certifications on a resume.
Will I spend more time watching or actually doing things inside class?
The classroom experience stays highly practical. Students regularly work on activities, datasets, guided implementations, and analytics exercises instead of sitting through long theory heavy sessions.
I live in Belagavi. Will opportunities in analytics still feel accessible to me?
Yes. Analytics is no longer limited to only metro cities. Many companies now hire remotely or across multiple locations, which means students from cities like Belagavi are also building careers in reporting, dashboards, operations, and business analytics.
My schedule is already packed with college or work. Will this become difficult to manage?
The program is designed with flexible classroom batches, so students and working professionals can choose timings that fit more realistically into their routine.
Can I visit the centre first before deciding anything?
Absolutely. You can visit the Belagavi Learning Support Centre, explore the classrooms, interact with the team, and understand how the program actually works before enrolling.
Will I only study inside the classroom, or get practice support outside class too?
The learning continues beyond classroom hours as well. Students also get access to assignments, practice material, tools, and guided resources to keep building confidence outside sessions.
Do analytics careers only make sense for people in big metro cities?
Not anymore. With remote work, digital operations, and online reporting systems becoming common, students from Belagavi are also exploring analytics careers without feeling restricted by location.
I usually quit courses halfway when life gets busy. Is this structured in a manageable way?
The classroom format helps many students stay more consistent because the schedule feels structured, guided, and easier to follow compared to self-paced online learning alone.
I don't want to join blindly after seeing ads online. Can I experience the place first?
Yes. You can walk into the Belagavi Learning Support Centre, see the classroom setup yourself, and speak directly with the team before making any decision.
What happens after classroom hours end? Does the learning just stop there?
No. Students continue practicing through assignments, guided resources, tools, and activities designed to help concepts feel more natural with regular use.
I am interested, but I need clarity before investing money into a course like this. Can someone guide me properly?
Yes. The counselling team helps students understand the program structure, career scope, classroom experience, fee details, and whether the course matches their goals.
Do students have to pay the complete fee upfront?
No. Flexible EMI and installment options are available so students can split the fee into smaller and more manageable payments.
Are scholarships available during admission?
Yes. Eligible students may receive scholarships of up to 50% depending on admission criteria, seat availability, and current enrollment cycles.
Can I understand all payment details before taking admission?
Absolutely. Students can discuss fees, scholarships, payment plans, and batch options clearly with the admissions and counselling team before enrolling.
What if I am not naturally good with numbers or analysis?
That's completely okay. The program focuses on helping students think through problems step by step instead of expecting everyone to be naturally strong in analytics from day one.
Will someone actually tell me where I'm improving and where I'm weak?
Yes. Trainers regularly guide students during projects, dashboards, assignments, and practical tasks so they can improve with more clarity and confidence.
Do the classroom sessions feel interactive, or mostly like long lectures?
The sessions are designed to stay discussion driven and practical, with students actively working on tasks, asking questions, and participating during implementation activities.
After finishing the course, will I still have access to career-related support?
Yes. Even after the classroom journey ends, students continue getting support with interviews, placements, career preparation, and the next steps in their professional growth.