Data Science Course in Marathahalli

The upGrad Offline Learning Support Centre - Marathahalli offers structured classroom mentoring to help beginners and working professionals develop strong, job-ready Data Science skills.

With guided mentorship, hands-on technical learning, and industry-focused training in data analysis, machine learning, and AI, the centre provides practical offline support to help learners confidently prepare for data-driven roles.

A key advantage of the program is its Pay After Placement option, allowing learners to focus on gaining in-demand skills without upfront financial stress.

Located at upGrad Learning Support Centre - Marathahalli, Bangalore, No: 205, ACR Greens Outer Ring Road, Munnekolala, above GIVA, Marathahalli, Bangalore, Karnataka 560037, the centre blends offline academic support with flexible online learning and career-focused guidance to support successful career transitions into Data Science and Analytics.

Contact Us: 1800 210 7070
Timings: 10 am – 8 pm

• Blended Classroom + Online Learning: Learners benefit from a hybrid learning model that combines in-person mentoring at the Marathahalli centre with structured online modules for flexibility and continuous support.

• Hands-on Technical Learning: The program emphasizes practical exposure through real-world projects, assignments, and applied exercises to build strong technical foundations.

• Aptitude & Soft Skill Training: Dedicated training sessions focus on aptitude development, communication skills, and professional readiness to enhance employability.

• Resume Building & LinkedIn Profile Evaluation: Structured career guidance helps learners create industry-ready resumes and optimize LinkedIn profiles aligned with Data Science roles.

• Interview Preparation & Question Bank: Learners gain access to a curated interview question bank along with focused GD and interview preparation sessions.

• 1:1 Mock Interview Calls: Personalized mock interviews with experts help learners improve confidence, identify gaps, and refine interview performance.

• Industry-Aligned Curriculum: The curriculum is designed to match current industry requirements, covering data analytics, machine learning, artificial intelligence, and advanced data techniques.

• Career Transition Support: Ideal for fresh graduates and working professionals, the course offers structured learning paths to support smooth transitions into data-driven roles.

The Data Science curriculum is thoughtfully structured to develop strong analytical thinking, technical expertise, and real-world problem-solving abilities. Learners move step by step from essential fundamentals to advanced machine learning and generative AI concepts, supported by practical assignments, hands-on exercises, and industry-aligned projects.

Course 0: Preparatory Foundations

This introductory module focuses on building the essential mindset and foundational skills required for a career in data science. It strengthens mathematical understanding, logical thinking, and structured approaches to solving business problems using data.

Topics included:

• Mathematics for Data Science and Machine Learning

• Logical Thinking in Programming, CRISP-DM Framework, and Excel

• Business Problem Solving Techniques using Excel

Course 1: SQL for Data Analysis

This module develops a strong understanding of databases and data retrieval techniques. Learners gain practical experience in writing efficient SQL queries and designing data models to handle real-world datasets.

Topics included:

• SQL Fundamentals

• Advanced SQL – Part I

• Data Modeling Concepts

• Advanced SQL – Part II

• SQL-Based Assignment

Course 2: Python for Data Science

This course focuses on building hands-on programming skills using Python for data manipulation, analysis, and automation. Learners work with widely used Python libraries essential for data science roles.

Topics included:

• Python Basics and Environment Setup

• Core Programming Concepts in Python

• NumPy and Introductory Pandas

• Pandas for Data Analysis

• Data Structures and Object-Oriented Programming (DSA & OOPs)

• Data Visualization Using Python

• Exploratory Data Analysis (EDA)

• Python-Based Assignment

Course 3: Data Visualization & Business Intelligence

This module trains learners to present insights effectively through visual storytelling and interactive dashboards. It emphasizes popular BI tools commonly used in business environments.

Topics included:

• Data Storytelling and Visualization with Tableau

• Data Visualization Using Power BI

• Dashboard Development Assignment

Course 4: Machine Learning

This course introduces core statistical concepts and machine learning algorithms used to build predictive models and support data-driven decision-making.

Topics included:

• Inferential Statistics and Hypothesis Testing

• Linear Regression – Part I

• Linear Regression – Part II

• Logistic Regression

• Applied Machine Learning Project

Course 5: Advanced Machine Learning & Generative AI

The final module covers advanced machine learning techniques and modern AI applications. Learners apply their complete skill set through a comprehensive capstone project showcasing end-to-end problem-solving capability.

Topics included:

• Decision Tree Algorithms

• Clustering Techniques

• Ensemble Learning Models

• Natural Language Processing (NLP)

• Neural Networks and Generative AI

• Capstone Project

Selecting the right data science course in Marathahalli can play a crucial role in shaping your career in analytics and AI. upGrad’s program is designed to deliver practical skills, expert mentorship, and structured career support to help learners succeed in competitive, data-driven roles.

Here’s what makes upGrad’s Data Science Course in Marathahalli a preferred choice:

• End-to-End Placement Assistance: Learners receive dedicated career support, including resume development, interview preparation, mock interviews, and access to opportunities with a wide hiring partner network.

• Pay After Placement Benefit: Begin your learning journey with minimal upfront financial commitment and pay the program fee only after securing a job through placement assistance, reducing financial stress during upskilling.

• Industry-Focused Curriculum: The curriculum is aligned with current industry expectations, covering data analytics, machine learning, and artificial intelligence using relevant tools and real-world methodologies.

• Mentor-Supported Industry Projects: Work on practical, business-oriented projects under expert guidance to gain hands-on experience and confidence in solving real data challenges.

• Structured Learning Methodology: A clearly defined learning framework ensures conceptual clarity through guided instruction, applied practice, and project-based assessments.

• Hands-On Practical Exposure: Regular assignments, case studies, and live projects help learners apply theoretical concepts to real-world scenarios and build job-ready technical skills.

• Extended Career Support Access: Learners benefit from continued access to career portals, job alerts, and placement resources even after program completion.

• Support for Career Shifts: Ideal for fresh graduates and working professionals, the course offers structured pathways and mentoring to support smooth transitions into Data Science, AI, and ML roles.

• Expert-Led Masterclasses: Specialized sessions by industry experts provide insights into emerging technologies, real-world applications, and evolving industry trends.

Data science continues to be one of the most in-demand career paths, and Marathahalli has emerged as a key technology and analytics hub in Bangalore. Enrolling in a data science course in Marathahalli equips learners with practical skills required for roles in analytics, AI, and machine learning.

Key reasons to choose a Data Science Course in Marathahalli:

• High Industry Demand: Data science professionals are increasingly sought after across IT, product, and analytics-driven organizations in and around Marathahalli.

• Strong Career Growth Potential: Data roles offer competitive compensation, long-term career growth, and cross-industry opportunities.

• Thriving Tech Ecosystem: Proximity to major IT parks, startups, and global companies creates strong demand for analytics talent.

• Industry-Relevant Skill Development: Training focuses on practical applications of AI, machine learning, and data analytics aligned with business needs.

• Hands-On Learning Approach: Practical projects, mentorship, and applied learning help learners build confidence and job-ready expertise.

A Data Science course in Marathahalli is well-suited for learners from varied academic and professional backgrounds who want to start, upgrade, or transition into data-focused careers.

This program is ideal for:

• Graduates and Final-Year Students: Looking to begin a career in data analytics, data science, or AI.

• Working Professionals: Seeking to upskill or transition into data-centric roles.

• IT and Non-IT Professionals: Interested in leveraging data for improved business decision-making.

• Business Analysts and Statisticians: Aiming to enhance their expertise with machine learning and artificial intelligence.

• Career Transitioners: Professionals from finance, marketing, operations, or other domains planning a shift into data science.

Completing a Data Science course in Marathahalli equips learners with practical skills in analytics, machine learning, and AI, preparing them for high-growth roles across IT, healthcare, e-commerce, BFSI, and startups. With hands-on experience and industry-aligned training, learners can confidently pursue data-driven careers in Bangalore’s thriving tech ecosystem.

Top Data Science Roles in Marathahalli, Bangalore and Average Salaries

Sourced By: AmbitionBox

Top Recruiters for Data Science Roles:

• Flipkart

• Genpact

• TechMahindra

• KPMG

• Uber