It is designed to address the core knowledge of data science field by focusing on required statistics, mathematics, computer science, and analytics to allow students to discover the fascinating world of data science.

The program includes theoretical and practical applied approaches preparing students to enter the field of data science profession or continue their education in a professional graduate degree program.

It also guidepost to spur your understanding of data science. This programme will help you manage and maximize a company’s data assets, integrate analytics and machine learning into decisions and processes, and power innovation for businesses. This programme’s focus on real-world examples, case studies, and practical sessions will ensure that you build a strong foundation in business analytics and make high-output business decisions.

Goal of Course

• Demonstrate ability to explore data and identify the best statistical and mathematical model to apply for its analysis.
• Demonstrate an ability to articulate, assess, and apply appropriate theories and principles of Machine Learning.
• Develop and implement data analysis strategies based on theoretical principles, ethical considerations, and detailed knowledge of the underlying data.
• Develop meaningful reports and visualization of data analytics appropriate to a technical and non-technical audience.

Key Modules

• Effective usage of MS Excel
• Querying Database with MS SQL Server
• Understanding Statistical Values
• Data Handling with Python Programming
• Reading data from API
• Image Processing
• Machine Learning with Python Programming
• Deep Learning with Python Programming
• Natural Language Processing