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Share knowledge, get rewarded
Get job-ready with classroom training and career support
Build tech and soft skills for real career growth
Create ML and Gen AI apps with Python, SQL, and BI
Deploy models using Flask, Streamlit, Gradio, and Cloud
Duration
6 Months
New Batch Starts
16 March 2026
For Enquiry
8591004660
Scholarships
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Work on 15+ Live Projects
6000+ Career Transitions
1200+ Hiring Partners
Free Access to 12+ Programming Tools
Industry-Ready Curriculum
Masterclasses by Industry Experts
Career Support & Placement Assistance
3 Years Access to Career Portal
3 Years Access to Learning Portal
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.
Create
• Superstore Sales Dashboard With GPT
• Automated Reports Using VBA + Gen AI
• Real-world Demand Simulation On Kaggle Datasets
Attempt
• 50+ Excel Interview Questions
• Problem-solving & KPI Explanation Practice
• Scenario-based Excel Tests
Study
• End-to-end ETL & Data Modeling.
• DAX Fundamentals to Advanced Use Cases.
• Power BI & Tableau Visual Analytics.
• Data Storytelling With Gen AI-assisted Narratives.
Create
• Home Loan Default Dashboard (DAX Case Study)
• Retail & Superstore Profitability Dashboards
• Dynamic Tableau Dashboards with Parameters & Joins
Attempt
• 100+ DAX & BI Questions
• Dashboard Critique & Storytelling Exercises
• BI Scenario-based Case Studies
• 4 Weekly Tests
Study
• Relational Databases & ER Modeling.
• Advanced SQL: Joins, Subqueries, Window Functions.
• Query Optimization Using Gen AI.
• SQL + Azure Cloud Integration.
Create
• RSVP Movie Database
• Marketplace Demand-supply Analysis
• Cloud-connected Analytics Workflows
Attempt
• 200+ SQL Interview Questions
• Complex Joins & Case-based Problems
• 1 Employability Test
• 2 Weekly Tests
Study
• Python Fundamentals, Logic & Data Structures.
• Functional Programming & OOP.
• Numpy, Pandas & Data Visualization.
• EDA Techniques with Genai Support.
Create
• Credit Risk Analysis
• Uber Trip Demand Analysis
• Stock Market Analysis Using Yfinance
Attempt
• 250+ Python Coding Questions
• OOP & EDA Interpretation Tests
• Leetcode & Real-dataset Challenges
• 1 Employability Test
Study
• Descriptive & Inferential Statistics.
• Hypothesis Testing, ANOVA & Chi-square.
• Statistical Interpretation Using AI Tools.
Create
• Customer Churn Distribution Analysis
• Bank Credit Scoring Statistical Report
Attempt
• Statistics Problem Sets
• Business Interpretation & Decision-based Tests
Study
• 18+ ML Algorithms & ML Pipelines.
• Feature Engineering & Hyperparameter Tuning.
• Model Explainability (SHAP, LIME).
• Deep Learning: CNNS, RNNS, LSTMS.
• Generative AI, RAG & LLM Workflows.
• Prompt Engineering For NLP, Vision & Agents.
Create
• Credit Risk & Churn Prediction ML Models
• Demand Forecasting System
• LLM-powered Apps (Chatbots, Semantic Search)
• Model Deployment Using Flask, Streamlit & Gradio
Attempt
• ML & AI Case-study Questions
• Model Evaluation & Explainability Tests
• End-to-end Capstone Project
Tool Access
GenAI Integration
Projects
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Portfolio Creation
Interview Prep
Placement Support
upGrad's Data Science Program
In-built access to all tools (Cloud-based)
ChatGPT, Copilot, Gemini for coding & analytics
8–12 real industry projects
Airbnb, Zomato, Uber, Netflix
Live apps (Streamlit/FastAPI/Docker)
GitHub + Live Dashboards + ML Apps
Module-wise + MAANG-level mock rounds
3 Years access to job portal & support
Other Data Science Courses
Tools only available in institute lab
Not included
2–3 basic or dummy projects
Generic examples
Mostly not taught
Certificate-focused
Basic interview tips
Limited or none

Work on real-world projects with 1:1 mentorship as part of our classroom program.

Exclusive sessions on real-world best practices and emerging tech.

Our methodology follows five stages: pre-class preparation, concept understanding, guided practice, problem-solving, and real-world projects.

Build real-world applications and gain confidence through our classroom program.

Get membership to learner management system with free built-in tools to practice real-world learning.

Get access to jobs, internships and hiring drives even after completing our classroom program.
No: 205, ACR Greens Outer Ring Road, Munnekolala, above GIVA, CKB Layout, Chandra Layout, Marathahalli, Bengaluru, Karnataka 560037, India
Aptitude Training
Resume Building
LinkedIn Profile Evaluation
Interview Question Bank
1:1 Mock Interview Calls
Hands-on Technical Learning
Soft Skill Training
GD/Interview Prep
Please find below the detailed steps to be followed as a part of the admission process.
Start Your Application
Follow the below application process to begin your enrollment process.
Submit Your Interest
Fill out the enquiry form on our website. Select your preferred city and centre.
Speak to our Academic Counsellor
Discuss your background, goals, and best-fit program.
Confirm Your Batch
Choose from our morning / evening / weekend batches that suit your schedule
Start Learning
Once enrolled, you’ll receive onboarding details and access to learning resources. You can then begin your offline learning experience at the selected upGrad centre.
Job Role | Average Salary in Marathahalli (Bangalore) |
AI Engineer | INR 27.1 LPA |
Data Scientist | INR 21.6 LPA |
Machine Learning Engineer | INR 19.0 LPA |
Business Intelligence Analyst | INR 16.0 LPA |
Data Analyst | INR 11.3 LPA |
Source: Ambition Box
Implementation Engineer, AB Knowledge Systems
With a year of internship experience, I joined upGrad because of its strong reputation for helping students upskill and secure good jobs. The learning experience has been excellent, with well-structured content relevant to market demands. I've gained new skills and deepened my knowledge. I highly recommend upGrad for anyone serious about advancing their career.

Atharva Bhapkar
Implementation Engineer
Specialist Programmer, Infosys
I had no work experience and was unsure about entering the Data Science field. A friend introduced me to upGrad, where I received great support, especially with resume building. The teaching staff is well versed in the field including help with professional profiles. upGrad is an ideal choice for upskilling, thanks to its mentorship and personalized support.

Mansi Deepak Kodgire
Specialist Programmer
Assistant Manager - Sales
With 6+ years in the non-IT domain, I chose upGrad to help me transition into IT. Its curriculum provided me with in-depth skills in data science and AI-ML, and the instructors at the Indore centre offered invaluable one-on-one support. For anyone seeking to break into Data Science or shift to IT, this program is a great choice for gaining technical expertise.
-de17405884154c62af47f86150ecd1f7.webp&w=256&q=75)
Aniket Gogaliya
Assistant Manager
Software Engineer, Incred Money
Before upGrad, I wanted to strengthen my technical skills and transition into a more technical role. I chose upGrad for its structured curriculum in Data Structures and Algorithms (DSA) and MERN Stack Development. The hands-on projects and real-world applications enhanced my skills, making me job ready. Now, I’m excited and prepared to take the next step in my career.

Swaroop Ramdas Chavan
Software Engineer
Data Researcher, Collegedunia
As a recent Computer Science graduate, I felt I needed practical, job-ready skills in Data Science. I chose upGrad for its job-focused learning and reputable partnerships, which offered hands-on courses, live sessions, mentor support, and real projects. This experience built my confidence and gave me the skills to tackle real Data Science projects in my career.

Priyanka Maruti Panchkwade
Data Researcher
3
Faculty Members

Data Science & AI
10+ years of experience in DA/DS, Ex-L&T, New Holland, Data Arc, has served on site for clients in Honkong, Nepal and Germany

Data Science & AI
12+ years of experience in data analytics, research, consultancy and academia, Ex-Deloitte having experience working with various ministries… Read More

Data Science & AI
Skilled in data analytics and data science. Previously worked as Sr. Faculty - Data Analytics Training in ExcelR Edtech Private Limited, Ben… Read More

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Our upGrad offline center is strategically located in Marathahalli, Bangalore. The exact address is No: 205, ACR Greens, Outer Ring Road, Munnekolala, Above GIVA, Marathahalli, Bengaluru, Karnataka 560037. Situated in one of the city's prime tech corridors, the offline center is easily accessible by public transport for learners commuting from anywhere in the city.
The offline center is open daily from 10 AM to 8 PM. You are welcome to the offline center for support sessions or counselling during these hours, though we suggest calling in advance to ensure prompt assistance. Weekend visits to the offline center may also be arranged depending on active batch schedules.
You can easily reach our Marathahalli admissions team by calling 8591004660 to discuss eligibility, fees, or course structures. Alternatively, submitting an online enquiry form will prompt our team to get back to you quickly to help plan your educational journey at our offline center.
Absolutely. We encourage prospective learners to tour the offline center in Marathahalli before committing. Exploring the offline center allows you to experience the in-person classroom atmosphere, discuss curriculum details and placement support with our counsellors, and ultimately make a highly informed decision.
This comprehensive curriculum equips you with industry-ready skills in Python, Machine Learning, AI, SQL, Power BI, Tableau, and Statistics. It takes a purely practical approach, incorporating real-time projects and an intensive focus on Generative AI capabilities to transform you into a highly capable tech professional at the offline center.
The offline center program lasts for 6 months with a total fee of INR 1,49,000 for the Marathahalli branch. We offer multiple structured payment plans to ease the financial burden, which you can evaluate alongside your academic counselor at the offline center.
Absolutely. The course is built to support both complete beginners and seasoned professionals. We guide you from basic computational logic all the way through advanced data frameworks, meaning zero prior programming knowledge is needed to thrive in the offline center environment.
Yes, experiential learning is central to our approach. You will build dynamic dashboards, develop AI apps, and construct machine learning models that address actual business problems, eventually culminating in a robust final capstone project at the offline center.
This curriculum is strategically tailored to provide the exact technical proficiencies demanded by leading tech companies in Marathahalli. By combining face-to-face mentorship at our offline center with portfolio-building exercises and dedicated placement prep, we bridge the gap between theoretical knowledge and practical workplace readiness.
Yes, all eligible students receive comprehensive career support. Our placement division at the offline center assists you in structuring an ATS-optimized resume, conducting practice interviews, and enhancing your LinkedIn visibility, while giving you access to an expansive network of hiring partners.
Transitioning into Data Science provides immense stability and strong financial incentives. Graduates often secure lucrative roles as AI Engineers or Data Analysts within Marathahalli's thriving tech ecosystem, setting the stage for accelerated salary growth and upward mobility.
Yes, we are committed to making education accessible. You can explore flexible financing solutions like Pay After Placement (PAP) or merit-based scholarships. Discuss your profile with our counseling staff at the offline center to see which financial pathways apply to you.
Graduates are well-prepared to interview for competitive positions such as Data Scientist, AI Engineer, Machine Learning Engineer, and Data Analyst. Our exhaustive technical training mixed with interview preparation at the offline center positions you strongly for these roles.
Remuneration in Marathahalli's booming IT market is highly attractive. Depending on your background, base packages for Machine Learning Engineers and Data Scientists typically fall between 5 LPA and 9+ LPA, offering tremendous potential for future financial expansion.
Indeed. Your career resources remain active for 3 years post-completion, giving you continuous access to job referrals, interview prep, and hiring drives as you progress through different phases of your professional journey with the continuous support of the offline center.
By instilling a deep understanding of core AI, machine learning, and analytics principles, the program ensures you remain adaptable to future technological shifts. This resilient foundation equips you not just for your first tech job, but for eventual promotion into senior management and leadership roles.
The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.
The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not .
Meet our experts, explore programs in detail, and see how our blended learning approach helps you achieve real career growth.