Introduction to Business Data Science and AI with Python

About

The course Introduction to Business Data Science and AI with Python contains the learning materials, practices and case studies to develop the knowledge and skills of the students in the field of data science and its application in the real business/work world. The students will learn how to apply analytical techniques and scientific principles to extract valuable information from business data for decision-making, strategic planning. This skills-based specialization is intended for learners who have a basic programming background and want to apply statistical, machine learning, information visualization, and data analysis techniques through python programming language and other tools.

Course leader

Prof. Dr. Hamid Mostofi

Target group

The Bachelor graduates and Master/PhD students of:

Business and Economics
Industrial, IT and Computer Science,
All Engineering programs

Course aim

-Understanding statistical association and the difference between causation and correlation
-Understanding and developing the skills to apply descriptive techniques and Statistical inference in the real business cases, social and marketing studies
-Structural Equation Modeling SEM, Confirmatory Factor analysis CFA , Path analysis
Time-series Analysis
-Advanced visualization techniques as an initial step to solve data analysis problems, including Geo-based visualization and Network visualization
-Machine Learning (ML) process, supervised vs unsupervised, validation approaches, over/ under fitting
-Introduction to basic Clustering approaches
-Introduction to basic Classification approaches
-Introduction to Social Network concept and its principles and applications.

Fee info