In this course, students will gain the most desired professional skills and expertise in the high demand area of Data Science. In the current dynamic and uncertain business environment, organizations are in constant need of experts who have the required analytical and critical skills to logically examine numerical, textual and qualitative data.

This includes extracting and analyzing raw information and communicating results and their implications to the relevant stakeholders. Throughout the program, students will acquire the skills required to explain and critically assess statistical data mining techniques, machine learning, natural language processing and deep learning.

 Syllabus

Students will gain comprehensive understanding of the following topics:

• Foundations of Data Science
• Statistics in Data Science
• Big Data Management
• Machine Learning
• Python Programming
• Neural Networks

Students will be formally assessed at the end of the course, where an individual assignment of 1500-2000 words needs to be submitted. This is a mandatory requirement for receiving the certificate.