Business Intelligence & Analytics

О курсе

This week we will begin with module 1- Introduction to AI, BIA and Overview of Data Mining. AI (Artificial Intelligence) is an umbrella term, encompassing various technologies and applications, including ML (Machine Learning) (this also included Deep Learning and Generative AI), Robotics, Computer Vision. Artificial intelligence is a machine’s ability to perform some cognitive functions we usually associate with human minds (e.g., perceiving, reasoning, learning and problem solving). BIA (Business Analytics & Analytics) is essentially applying ML for improving business performance. BIA includes various technologies like Data Mining, Business Forecasting, OLAP. This module will give an overview of some of the aspects of AI. It will also talk about various steps involved in BI&A, involving Requirements, Data Warehouse, Exploratory Data Analysis techniques, Detailed techniques, Bench marking so that business performance before and after incorporating analytics can be compared. It will talk about various skill set under “Data Science”. It will then give an overview of various techniques of Data Mining, namely Supervised Learning (Classification and Regression) Unsupervised Learning (Association, Clustering, and Dimension Reduction). This module will also talk about steps for carrying out supervised learning. By the end of this course, students should be able to: 1. Understand the Business Analytics concepts, tools and techniques 2. Understand how organizations can succeed using data 3. Analyse data using techniques like Data Mining 4. Apply techniques in various business situations 5. Apply two tools, namely R and Orange, along with Excel 6. Strategically think about how to improve business performance

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Dr. Sunil Lakdawala

Dr. Sunil Lakdawala, Ph.D. MS