Data Science Course in Delhi

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

With expert-led sessions, hands-on technical learning, and real-world project exposure, learners gain practical knowledge in data analysis, machine learning, and AI through guided offline support.

The centre focuses on both technical and professional development, combining aptitude training, soft skills, and interview preparation to ensure overall career readiness.

Conveniently located in Delhi, the centre provides a blended learning experience that balances in-person mentorship with flexible online resources, enabling learners to confidently transition into data-driven roles.

• Contact Us: 1800 210 7070
• Timings: 10 am - 8 pm

• Classroom + Online Learning Support: Learners benefit from a blended learning model that combines offline mentoring at the Delhi centre with structured online content for continuous guidance and flexibility.

• Hands-on Technical Learning: The course emphasizes practical skill development through live projects, assignments, and tool-based training to build real-world Data Science expertise.

• Aptitude and Soft Skill Training: Dedicated sessions focus on aptitude development, communication skills, and workplace readiness to support professional success.

• Resume Building and LinkedIn Profile Evaluation: Learners receive expert support to create strong resumes and optimized LinkedIn profiles that align with current industry expectations.

• Interview Preparation and Question Bank: Structured GD and interview preparation, along with access to an interview question bank, helps learners build confidence for technical and HR interviews.

• 1:1 Mock Interview Calls: Personalized mock interview sessions provide feedback on performance, helping learners improve responses and interview strategy.

• Career Transition Readiness: The program is suitable for fresh graduates and working professionals looking to transition into Data Science roles with a clear, guided learning path.

• Industry-Aligned Curriculum: The curriculum is designed to meet current industry demands, covering analytics, machine learning, AI concepts, and essential data tools.

The Data Science course in Delhi is designed to build strong analytical, technical, and problem-solving skills through a structured, hands-on curriculum. Learners progress from foundational concepts to advanced machine learning and generative AI, supported by practical assignments and industry-relevant projects.

Course 0: Preparatory Course

This foundational module helps learners develop essential mathematical thinking, logical reasoning, and business problem-solving skills required for a successful career in data science. It prepares learners to approach real-world data challenges in a structured and industry-aligned manner.

Topics covered:

• Mathematics for Data Science and Machine Learning

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

• Business Problem Solving using Excel

Course 1: SQL

This module focuses on database fundamentals and data extraction techniques. Learners build strong SQL querying and data modeling skills to efficiently work with structured datasets used in real business environments.

Topics covered:

• Basics of SQL

• Advanced SQL – I

• Data Modeling

• Advanced SQL – II

• SQL Assignment

Course 2: Python for Data Science

This course develops hands-on programming skills using Python for data analysis, automation, and exploration. Learners work with industry-standard libraries commonly used in data science and analytics roles.

Topics covered:

• Introduction to Python

• Programming Fundamentals in Python

• NumPy and Basic Pandas for Data Science

• Pandas for Data Analysis

• DSA and Object-Oriented Programming (OOPs)

• Data Visualization using Python

• Exploratory Data Analysis

• Python Assignment

Course 3: Data Visualization

This module teaches learners how to present insights effectively through visual storytelling and interactive dashboards. It focuses on business intelligence tools widely used across industries.

Topics covered:

• Data Storytelling and Visualization using Tableau

• Data Visualization using Power BI

• Dashboarding Assignment

Course 4: Machine Learning

This course introduces essential statistical and machine learning techniques used for predictive modeling and data-driven decision-making across industries.

Topics covered:

• Inferential Statistics and Hypothesis Testing

• Linear Regression – I

• Linear Regression – II

• Logistic Regression

• Machine Learning Project

Course 5: Advanced Machine Learning and Generative AI

This advanced module covers modern machine learning algorithms and AI applications. Learners complete a capstone project to demonstrate end-to-end data science and problem-solving capabilities.

Topics covered:

• Decision Trees

• Clustering Techniques

• Ensemble Models

• Natural Language Processing (NLP)

• Neural Networks and Generative AI

• Capstone Project

Choosing the right data science course in Delhi is crucial for building a successful career in today’s data-driven job market. upGrad offers one of the best data science courses in Delhi, combining practical learning, expert mentorship, and strong career support to help learners succeed in analytics, AI, and machine learning roles.

Here’s what makes upGrad’s data science offline course in Delhi a strong choice:

• Comprehensive Placement Support: Learners receive structured career assistance, including resume building, interview preparation, LinkedIn profile optimization, and access to hiring opportunities with leading companies in Delhi NCR.

• Pay After Placement Option: Start your learning journey with minimal financial burden and pay fees only after securing a job through placement assistance, making the data science course fees in Delhi more manageable.

• Industry-Relevant Curriculum: The program is aligned with current industry requirements and covers Data Science, Machine Learning, Artificial Intelligence, and analytics using modern tools and real-world use cases.

• Mentor-Guided Industry Projects: Learners work on real business problems under expert guidance, gaining hands-on experience that strengthens practical skills and confidence.

• Structured Learning Framework: A well-defined learning approach ensures concept clarity through guided sessions, applied problem-solving, and project-based learning.

• Hands-On Practical Training: Continuous assignments and live projects help learners apply theoretical concepts in real scenarios, building job-ready technical expertise.

• Extended Career Portal Access: Learners enjoy long-term access to career resources, job listings, and hiring updates even after completing the program.

• Support for Career Transitions: Ideal for graduates and working professionals, this data science course in Delhi supports smooth transitions into analytics, AI, and ML roles.

• Expert-Led Masterclasses: Gain industry insights through masterclasses conducted by experienced data science and AI professionals.

Data science is one of the fastest-growing career fields, and Delhi has become a major hub for technology, consulting, and analytics-driven organizations. Enrolling in a data science offline course in Delhi helps learners gain practical, industry-ready skills aligned with local and global job market needs.

Key Reasons to Choose a Data Science Course in Delhi:

• High Industry Demand: Data science skills are increasingly required across IT, BFSI, healthcare, e-commerce, and consulting sectors in Delhi NCR.

• Strong Career Growth: Data science roles offer competitive salaries, long-term stability, and growth opportunities.

• Diverse Industry Ecosystem: Delhi’s strong presence of enterprises, startups, and MNCs creates consistent demand for data professionals.

• Industry-Relevant Skills: Training encompasses data analytics, machine learning, and AI applications utilized in real-world business environments.

• Practical Learning Approach: Offline mentoring, projects, and expert guidance help build job-ready expertise.

A data science course in Delhi is suitable for learners from diverse academic and professional backgrounds who want to build, upskill, or transition into data-driven roles.

Here’s who should consider enrolling in the best data science course in Delhi:

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

• Working Professionals: Seeking to upskill or move into analytics, AI, or ML roles.

• IT and Non-IT Professionals: Interested in using data for better decision-making and business insights.

• Business Analysts and Statisticians: Wanting to enhance their skills in machine learning and AI.

• Career Switchers: From finance, marketing, sales, or operations aiming to transition into data science.

Enrolling in the data science course in Delhi with upGrad is a simple and guided process designed to help learners start smoothly.

Steps to Enroll in a Data Science Course:

• Check Eligibility: Candidates should be college students, fresh graduates, or professionals with 0–2 years of work experience.

• Complete the Application: Fill out the online application form with basic personal and academic details.

• Consult with Learning Advisors: upGrad Learning Advisors explain the program structure, career outcomes, and data science course fees in Delhi.

• Receive Offer and Confirm Admission: Based on eligibility and batch availability, an offer letter is issued. Confirm admission by completing enrollment formalities.

• Start Learning: Get access to course content, live sessions, assignments, and offline mentoring at the Delhi centre.

Completing a data science offline course in Delhi prepares learners for high-growth roles across IT, consulting, BFSI, healthcare, e-commerce, and startup ecosystems. With hands-on skills in analytics, machine learning, and AI, learners can confidently pursue data-driven careers in the Delhi NCR region.

Top Data Science Jobs in Delhi and Average Salaries:

Sourced By: AmbitionBox

Top Recruiters for Data Science Roles:

• Flipkart

• Genpact

• TechMahindra

• KPMG

• Uber