ABOUT THE COURSE: This course is designed to provide participants with a strong foundation in both the theoretical concepts and practical applications of data science, using Python as the programming language. The course will be helpful for a wide audience, such as a beginner eager to explore the data science landscape or a professional aiming to enhance their skills. The course offers a structured and hands-on approach to equip the audience with the skills needed to navigate the data-driven world. Throughout the modules, participants will learn key data science concepts, including data collection and storage, data preprocessing, data analysis, modeling, machine learning, data visualization, and many more.The hands-on exercises and projects will enable participants to apply their understanding of Python to solve real-world data extensive problems effectively.INTENDED AUDIENCE: UG, PG and Industry professionalsPREREQUISITES: No pre-requisites required but prior knowledge of programming language would be helpfulINDUSTRY SUPPORT: IT (Information Technology) Industry
Overview
Syllabus
Week 1: Introduction to Data ScienceWeek 2:Statistical conceptsWeek 3:Basic Python: Part-IIWeek 4:Basic Python: Part-IIWeek 5:Advance Python: Part-IWeek 6:Advance Python: Part-IIWeek 7:Advance Python: Part-IIIWeek 8:Data PreprocessingWeek 9:Supervised LearningWeek 10:Unsupervised LearningWeek 11:Introduction to Deep LearningWeek 12:End to end project
Taught by
Prof. Faisal Anwer, Prof. Mohammad Nadeem