Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines techniques from statistics, mathematics, computer science, and domain-specific knowledge to analyze and interpret complex data sets.

This comprehensive Data Science course is designed to provide participants with a solid foundation in the key principles, techniques, and tools used in the field of data science. From data collection and preprocessing to advanced machine learning, participants will gain practical skills and knowledge to extract meaningful insights from data.

This Data Science course integrates theoretical knowledge with practical experience through a structured internship. Participants will gain a deep understanding of data science concepts and methodologies while applying them to real-world projects during the internship.

Data science is applied in various industries, such as finance, healthcare, marketing, and more. It plays a crucial role in helping organizations make data-driven decisions, uncovering insights, and solving complex problems. Professionals in data science typically have expertise in programming languages (such as Python or R), statistics, machine learning, and data visualization.