The upGrad Offline Learning Support Centre - Marathahalli offers structured, in-person classroom mentoring designed for beginners and working professionals to build practical, job-ready Data Analytics skills.

Learners benefit from expert-led sessions, hands-on projects, and industry-focused training in data analytics, business analytics, and data visualization tools. The program runs for 4–6 months, providing strong offline support alongside guided learning.

Through interactive technical sessions, learners gain real-world experience while receiving career-oriented guidance to prepare for analytics roles across industries.

A key highlight of the program is comprehensive career support, including resume building, mock interviews, and long-term professional mentoring, helping learners stay focused on employability and skill growth.

Located in Marathahalli, Bengaluru, the centre blends offline mentoring with industry-aligned curriculum to deliver career-focused outcomes in the analytics domain. The course fee is INR 99,999, with flexible payment options available.

• Location: No: 205, ACR Greens Outer Ring Road, Munnekolala, above GIVA, Marathahalli, Bengaluru, Karnataka 560037

• Contact Us: 18002107070

• Timings: 10 am to 8 pm

• Blended Classroom and Online Learning: Learners experience a mix of offline classroom mentoring at the upGrad Learning Support Centre in Marathahalli and structured online modules, ensuring flexibility with consistent academic support.

• Hands-on Technical Training: The program focuses on practical learning using real-world datasets, live exercises, and applied analytics tasks to strengthen analytical thinking and problem-solving skills.

• Industry-Relevant Tools and Techniques: Training covers essential tools such as Excel, SQL, Python, Power BI, and Tableau, enabling learners to build end-to-end data analysis and visualization expertise.

• Aptitude and Soft Skills Development: Dedicated sessions help learners improve problem-solving ability, communication skills, and overall workplace readiness.

• Resume Building and LinkedIn Profile Review: Career-focused workshops guide learners in creating strong resumes and optimizing LinkedIn profiles to attract recruiter attention.

• Interview Preparation and Question Bank: Structured interview preparation sessions and a curated question bank help learners build confidence and interview readiness.

• 1:1 Mock Interviews: Personalized mock interview sessions provide detailed feedback to improve performance in real hiring scenarios.

• Group Discussion and Interview Readiness: GD and interview practice sessions enhance professional communication and understanding of industry expectations.

• Career Transition Support: Ideal for fresh graduates and working professionals, the course offers a clear pathway to bridge skill gaps and transition confidently into Data Analytics roles.

The syllabus is designed to develop strong analytical, technical, and business problem-solving skills through a structured, hands-on learning journey. Learners progress from foundational concepts to advanced data analysis and visualization, supported by real-world assignments and industry use cases.

Course 0: Preparatory Module

This foundation module strengthens logical reasoning, mathematical understanding, and analytical thinking required for Data Analytics roles, with a focus on structured problem-solving frameworks.

Topics Covered:

• Logic Building for Programming

• CRISP-DM Framework and Excel

• Business Problem Solving using Excel

Course 1: SQL for Data Analytics

Build a solid foundation in databases and data extraction by mastering SQL querying and data modeling for structured datasets.

Topics Covered:

• SQL Fundamentals

• Advanced SQL (Part I & II)

• Data Modeling Concepts

• SQL-Based Assignment

Tools & Platforms: SQL, Kaggle, GitHub

Course 2: Python for Data Analytics

Develop practical Python skills for data analysis, automation, and exploration using industry-standard libraries.

Topics Covered:

• Introduction to Python and Programming Basics

• Python for Data Science (NumPy and Pandas)

• DSA and Object-Oriented Programming Concepts

• Data Visualization using Python

• Exploratory Data Analysis (EDA)

• Python-Based Assignment

Tools & Platforms: Python, Pandas, NumPy, Matplotlib, Seaborn

Course 3: Data Visualization and Business Intelligence

Learn to communicate insights effectively through dashboards and data storytelling using leading BI tools.

Topics Covered:

• Data Storytelling with Tableau

• Visualizations using Power BI

• Dashboarding Assignment

Tools & Platforms: MySQL, Excel, Power BI

Choosing the right Data Analytics course in Marathahalli is essential for building a successful analytics career. upGrad’s program focuses on practical skills, industry relevance, and long-term career readiness.

• Industry-Aligned Curriculum: Designed by industry experts to match current hiring trends in data analytics and business intelligence.

• Masterclasses by Industry Professionals: Exclusive sessions led by analytics experts who share real-world insights, best practices, and emerging trends.

• Experienced Faculty and Mentorship: Training is delivered by experienced faculty with strong academic backgrounds and hands-on analytics expertise.

• Hands-on Learning with Live Projects: Work on 10+ real-world projects to apply concepts and gain practical industry exposure.

• 5Ps Learning Methodology: A structured approach covering Pre-class learning, Concept clarity, Practice sessions, Daily Practice Problems (DPPs), and Projects ensures deep understanding.

• Extensive Tool Exposure: Gain hands-on experience with 10+ analytics and programming tools commonly used in industry roles.

• Strong Hiring Network: Receive placement exposure through 1200+ hiring partners across analytics, technology, and consulting sectors.

• Career-Focused Learning Path: The program blends technical expertise with business problem-solving skills to prepare learners for real-world Data Analytics roles.

Data analytics is among the fastest-growing career domains today, and Marathahalli has emerged as a major hub for IT services, technology companies, and data-driven businesses. A Data Analytics course in Marathahalli helps learners build practical, job-ready skills that align with current industry requirements.

Key Reasons to Choose a Data Analytics Institute in Marathahalli:

• High Demand for Analytics Professionals: Data analytics skills are widely required across industries such as IT, finance, healthcare, manufacturing, and e-commerce in and around Marathahalli.

• Strong Career Growth Prospects: Analytics roles offer competitive salaries, job stability, and long-term career advancement opportunities.

• Thriving IT and Business Ecosystem: Marathahalli’s proximity to major IT parks, startups, and corporate offices creates consistent demand for skilled data analytics professionals.

• Industry-Relevant Skill Development: Training focuses on real-world analytics use cases, tools, and decision-making frameworks to ensure learners are job-ready.

• Hands-on Learning Approach: Live projects, practical assignments, and case studies provide real-world exposure and build confidence for analytics roles.

A Data Analytics course in Marathahalli is suitable for individuals from diverse academic and professional backgrounds who want to start, upgrade, or transition into analytics careers.

Who Should Consider Enrolling:

• Graduates and Final-Year Students: Aspiring to begin a career in data analytics or business intelligence.

• Working Professionals: Looking to upskill and move into analytics-focused roles.

• IT and Non-IT Professionals: Interested in using data to support informed business decisions.

• Business Analysts and Domain Experts: Seeking to enhance analytics, visualization, and data interpretation skills.

• Career Switchers: From fields such as finance, marketing, operations, or sales, aiming to move into analytics roles.

Enrolling in the Data Analytics course with upGrad in Marathahalli is a simple, guided process designed to help learners begin their analytics journey smoothly.

Steps to Enroll:

• Check Eligibility: The program is open to college students, recent graduates, non-technical professionals, and entry-level tech professionals planning to build or transition into analytics roles.

• Submit Your Application: Complete the online application form with your personal, academic, and professional details.

• Consult with Learning Advisors: upGrad Learning Advisors will review your profile, explain the course structure, clarify eligibility, and discuss career outcomes.

• Receive Offer and Confirm Admission: Based on eligibility and batch availability, you will receive an offer. Secure your seat by completing the admission process.

• Start Learning: Get access to course content, live sessions, hands-on projects, and learning resources to begin your Data Analytics course in Marathahalli.

Completing a Data Analytics course in Marathahalli prepares learners for high-demand roles across industries such as IT, BFSI, healthcare, e-commerce, consulting, and startups. With practical skills in data analysis, visualization, and business intelligence, learners can confidently start analytics careers in Marathahalli’s thriving tech ecosystem.

Top Data Analytics Jobs in Marathahalli and Average Salaries

Source: AmbitionBox

Top Recruiters

• Flipkart

• Genpact

• Groupm

• TechMahindra

• Public Groupe

• KPMG

• Uber

• tcQo

• ZS