This link shall take you to a webpage outside For any query regarding the contents of the linked page, please contact the webmaster of the concerned website.
Old Code: QG-05-IT-04447-2025-V2-ASAP
This comprehensive, application-oriented program is designed to equip learners with the critical knowledge and technical skills required to drive data-driven decision-making in modern businesses. The course blends statistical foundations, data management, machine learning, and storytelling into one integrated learning journey. Through core modules in R, Python, Excel, and modern business tools, students master techniques in data wrangling, visualization, statistical inference, predictive modeling, and cloud-based big data analytics. Learners are also introduced to emerging technologies like Generative AI for business insights and explore real-time analytics using cloud and big data platforms. The program emphasizes domain relevance with sector-based electives (e.g., Finance, HR, Pharma, E-commerce) and culminates in a capstone project where students apply their learning to solve real-world business problems using end-to-end analytics workflows. With focused training on project management, communication, and data storytelling, graduates are prepared to lead impactful analytics initiatives across industries.