Data Science (IBM) Course with Internship (Mentor-Led Learning)

The Data Science (IBM) Course is an integrated, industry-aligned program that covers the entire data science life cycle—from data collection and preparation to predictive modeling and visualization. Designed around real business datasets and analytics pipelines, this program equips learners with practical, job-ready skills for modern data-driven roles. The curriculum follows workflows and best practices aligned with frameworks inspired by IBM, ensuring relevance to current industry expectations.

During the first month of training, learners focus on data preparation and exploration, statistical analysis, and modeling fundamentals. The course emphasizes how to clean, analyze, and interpret data, apply statistical reasoning, and build baseline predictive models that inform decision-making.

The second month is internship-focused, where learners complete a capstone data science project using real-world datasets. This phase includes report writing and portfolio preparation, helping learners present their analytical approach, results, and business insights clearly and professionally.

By the end of this program, learners will be able to:

• Execute end-to-end data science workflows

• Apply statistical analysis and predictive modeling techniques

• Build insights-driven visualizations for stakeholders

• Deliver a portfolio-ready capstone project based on real data

This program is ideal for students, freshers, and professionals aiming to start or transition into roles in Data Science, Business Intelligence, and Analytics Consulting.