This course provides an overview of the fundamentals of management information systems (MIS) concepts using an integrated framework for describing and analyzing information systems. Trimester-2
The course is intended to guide business analysts and students to the principles, assumptions, strengths, limitations, and application of multivariate methods. This course introduces concepts essential to understanding the rationale of multivariate data analysis. Trimester-3
This course aims to provide a comprehensive understanding of machine learning (ML) techniques and their applications. The diverse applications of ML are based on a common set of ideas, drawing on algorithms, learning theory, statistics, optimization techniques, and more. Trimester-4
The course will improve your analytical abilities and help you understand facts. The course will educate students on how to use analytical tools in Excel and apply basic quantitative methodologies to actual business challenges. Trimester-I
The course intends to familiarize students with the basic principles of data visualization and communication. The grammar of graphics is introduced systematically. The course introduces standard practices for creating dashboards, notebooks, and widgets, as well as other communication modes. Hands-on exercises also include creating interactive and dynamic visualizations. Trimester-6
This course explains how statistical and machine learning models enable computers and digital devices to recognize, understand, and generate text and speech. It teaches how to develop enterprise solutions that help streamline and automate business operations, increase employee productivity, and simplify mission-critical business processes. Trimester-5
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