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Analyze real-world datasets using Excel, SQL & Python
Build dashboards using Power BI & Tableau
Perform data cleaning, transformation & exploratory analysis
Leverage Generative AI for data insights & workflow automation
Duration
4 Months
New Batch Starts
30 July 2026
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Work on 10+ Live Projects
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1200+ Hiring Partners
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Industry-Ready Curriculum
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3 Years Access to Career Portal
3 Years Access to Learning Portal
Study:
• Introduction to CRISP-DM and Business Problem Solving
• Introduction to Excel Interface
• Data Analysis using Excel
• Advanced Tools and Visualization
Create:
• Superstore Sales Project
Attempt:
• 50+ Assessment Questions
• 2-3 Assignments on Report Making
Study:
• MySQL Fundamentals and Database Design
• Querying and Data Manipulation
• Advanced SQL and Data Analysis
Create:
• RSVP Case Study
Attempt:
• 50+ Assessment Questions
• 4 Weekly Tests
Study:
• Getting Started with Python and Programming Basics
• Functional Programming and File Handling
• Object-Oriented Programming and Data Structures
• Data Visualization and Exploratory Data Analysis (EDA)
• Data Manipulation with Numpy and Pandas
Create:
• Credit Risk Analysis
• E-commerce File Handler
Attempt:
• 50+ Assessment Questions
• 5+ Hands-on Assignments
• 1 Employability Test
• 2 Weekly Tests
Study:
• Data Visualization with Tableau
• Data Analysis and Visualization Using Power BI
Create:
• IPL Visualization Project
Attempt:
• 20+ Assessment Questions
• 3+ Hands-on Assignments
• 1 Employability Test
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Gen AI Powered Data Analytics Course
End-to-end data analysis & dashboard building
Excel, SQL, Python, Power BI, Tableau, GenAI
10+ live projects + case studies
Curriculum aligned to hiring trends
3000+ interview questions + 1:1 mock interview
Guided internship with 1:1 mentorship
NASSCOM-endorsed certification (3 certificates)
Industry-ready Data Analyst
Other Data Analytics Courses
Tool-only training
Limited tool exposure
Practice datasets only
Generic syllabus
Basic interview tips
No live exposure
Course completion certificate
Concept familiarity

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.
Visit us
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No: 205, ACR Greens Outer Ring Road, Munnekolala, above GIVA, CKB Layout, Chandra Layout, Marathahalli, Bengaluru, Karnataka 560037, India
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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.
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.
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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

Complete all the modules and earn your upGrad certificate showcasing your experitse in Data Analytics

Attend IIITB Masterclass to get an add-on IIITB Certificate
Marathahalli is very popular among the learners who want to make a career in Data Analytics. This Data Analytics course is designed to equip you with practical skills in Python, SQL, Excel, Power BI, Tableau and Generative AI through a structured offline classroom training program, hands-on projects and mentorship by experts.
If entering this field is your career aspiration, join the upGrad’s Data Analytics course in Marathahalli Bangalore, a 4-month offline classroom-based course that provides you the right skills, the right environment with the right guidance. After completing the Data Analyst course, you can explore several high paying roles in Bangalore.
Marathahalli is one of the major IT & business hubs of Bangalore. It makes it a perfect city to build a career in Data Analytics. For many organizations, data is becoming an increasingly important factor in business decision making. There is still a big demand for professionals with the right practical analytics skills across various sectors.
At the upGrad Data Analytics course in Marathahalli, you'll learn through offline classroom sessions, guided projects, and hands-on assignments. The program focuses on helping you master industry-standard analytics tools while developing practical problem-solving skills for real business scenarios.
Top reasons why learners choose the Data Analytics Course in Marathahalli:
The Data Analyst course follows a structured learning path that helps you build analytical skills from the ground up. The course begins with Excel and SQL fundamentals, and then gradually introduces Python, business intelligence tools, and Generative AI concepts to prepare you for the job industry. All our courses are beginner-friendly and suitable for freshers.
Each module combines classroom learning with practical assignments, case studies, and live projects, enabling you to apply your knowledge to real-world business problems.
Module | Topics Covered |
Module 1: MS Excel | Business problem solving, CRISP-DM framework, advanced Excel, data analysis, dashboards, visualisation, and reporting. |
Module 2: SQL | MySQL fundamentals, database design, data querying, data manipulation, advanced SQL, and business data analysis. |
Module 3: Python for Data Science | Python programming, NumPy, Pandas, data structures, file handling, exploratory data analysis (EDA), and data visualisation. |
Module 4: Tableau & Power BI | Interactive dashboards, business intelligence, Tableau, Power BI, data storytelling, and business reporting. |
Skills You Will Learn:
Throughout the Data Analytics courses offline, you'll develop practical analytics skills used across Data Analyst and Business Intelligence roles.
This course is a practical way to get job-ready analytical skills, whether you are just starting out or looking to move into Data Analytics. Classroom learning, guided mentorship and hands-on projects will help you build confidence working with real-world datasets and business problems.
This course is geared toward students from diverse academic and professional backgrounds and is appropriate for both the novice and the experienced professional.
The Data Analyst course in Marathahalli is ideal for:
The upGrad Learning Support Centre in Marathahalli is conveniently located and well connected to key residential and commercial areas in Bangalore.
Learners can easily attend the Data Analytics offline classes. Our classroom programs are offered at one of the prime locations in Marathahalli. Students from nearby neighborhoods choose the learning support centre for its accessibility and practical classroom learning environment.
If you’re residing in or around some of these locations, reaching our Marathahalli support centre for the Data Analyst course will be convenient for you.
Top Localities | |
Marathahalli | KR Puram |
Bellandur | Mahadevapura |
Whitefield | Electronic City |
Brookefield | Sarjapur Road |
HSR Layout | Koramangala |
Indiranagar | Domlur |
BTM Layout | JP Nagar |
Jayanagar | Banashankari |
Hebbal | Yelahanka |
Rajajinagar | Malleshwaram |
Data Analytics professionals are essential in helping organizations analyze business data, insights and facilitate strategic decision-making. With companies investing more and more in analytics, the demand for skilled Data Analysts and Business Intelligence professionals is growing across industries.
After completing the Data Analytics course in Marathahalli, you will be able to explore opportunities in analytics, business intelligence and reporting across verticals such as technology, consulting, banking, healthcare, retail and e-commerce.
You will be well equipped to start your analytics career with practical projects, career guidance, and placement assistance offered in our Data Analyst course.
Here is a complete breakdown of the average salary you can expect, ranging between INR 4 LPA to 20 LPA, depending upon your role, skills, company, and experience.
Job Role | Average Salary in Bangalore |
Data Scientist | ₹8 LPA - ₹20 LPA |
Business Analyst | ₹6 LPA - ₹11 LPA |
BI Developer | ₹5 LPA - ₹8 LPA |
Data Analyst | ₹5 LPA - ₹11 LPA |
MIS Analyst | ₹4 LPA - ₹5 LPA |
Source: Glassdoor
Top companies hiring Data Analytics professionals:
Here are some of the top companies you can aim for after completing the Data Analyst course in Marathahalli.
This comprehensive curriculum of the Data Analytics course in Marathahalli equips you with industry-ready skills in MS-Excel, SQL, Python for Data Science, Power BI, and Tableau. It takes a purely practical approach, incorporating real-time live projects and guided internships to transform you into a highly capable tech professional at the offline center.
The upGrad Data Analyst Course runs for 4 months and follows a structured classroom format.
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 Data Analytics courses offline.
Yes, experiential learning is central to our approach. You will build dynamic dashboards in Tableau, query databases with SQL, and construct analytical models in Python that address actual business problems, finishing with end-to-end industry projects at the offline center.
Our learning support centre is situated at No. 205, ACR Greens, Outer Ring Road, Munnekolala, above GIVA, CKB Layout, Marathahalli, Bengaluru, Karnataka 560037, India, in the well-connected Marathahalli area with easy access to major roads and public transportation.
The offline learning support centre is open daily from 10 AM to 8 PM. You are welcome to drop by for support sessions or counselling during these hours, though we suggest calling in advance to ensure prompt assistance. Weekend visits to the offline learning support center may also be arranged depending on active batch schedules.
You can easily reach our Marathahalli admissions team by calling +91 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 learning support centre in Marathahalli, Bangalore before committing. Exploring 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.
The Data Analytics course in Marathahalli fees is ₹99,999 for the 4-month Gen AI-powered Data Analytics classroom program at the upGrad Learning Support Centre. Eligible learners can also explore EMI options and flexible payment plans.
Yes, we are committed to making education accessible. You can explore flexible financing solutions or merit-based scholarships. Discuss your profile with our counseling staff at the offline center to see which financial pathways apply to you.
Yes. Merit-based scholarships of up to 50% are available for eligible learners enrolling in the Data Analytics courses offline. Scholarship eligibility is determined during the admission process, and the admissions team will guide you through the available scholarship options and application process.
This curriculum of the Data Analyst course in Marathahalli is strategically tailored to provide the exact technical proficiencies demanded by leading tech companies in Bangalore. By combining face-to-face mentorship at our offline center with portfolio-building exercises, 3000+ interview questions, and dedicated placement prep, we bridge the gap between theoretical knowledge and practical workplace readiness.
Yes, all eligible students receive comprehensive 100% placement assistance. Our career 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 1200+ hiring partners.
Transitioning into Data Analytics provides immense stability and strong financial incentives. Graduates often secure lucrative roles as Business Analysts, BI Developers, or Data Analysts within Bangalore's thriving tech ecosystem, setting the stage for accelerated salary growth and upward mobility.
Yes. upGrad offers a Data Analytics course in Marathahalli with placement assistance through its offline classroom program. Learners receive resume building, LinkedIn profile guidance, mock interviews, interview preparation, career counselling, hiring drives, job referrals, and placement assistance to help them prepare for Data Analytics roles.
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.
Meet our experts, explore programs in detail, and see how our blended learning approach helps you achieve real career growth.