Business Intelligence is a set of processes, architectures, and technologies that convert raw data into meaningful information that drives profitable business actions. It is a suite of software and services to transform data into actionable intelligence and knowledge. BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts and maps to provide users with detailed intelligence about the state of the business. Data Science will develop necessary skills among students to empower them with ability to gain insights and understanding from data. Students will be able to use statistical analysis, quantitative techniques, explanatory, and predictive modelling on data to generate information and insights to help make actionable decisions.
| Lecture Name | Download |
|---|---|
| Course Outline | BIDS- Course Outline - IPM_v0.02(1).docx |
| Session 1,2 and 3 - Aritra | Session 1-3 IPM.pptx |
| Session 4 to 7 - Aritra | Session 4 to 7.pptx |
| Session 4 to 7 Datasets - Aritra | Weekday.csv |
| Session 4 to 7 Datasets - Aritra | Weekend.csv |
| Session 4 to 7 Problem Set - Aritra | Problem for Practice.pdf |
| Session 4 to 7 R Package Installations - Aritra | packages for installations.txt |
| Session 8 and 9 Deck | Session 8 and 9.pptx |
| Session 8 and 9 Dataset Economic | economics_data.RData |
| Session 8 and 9 Dataset Economic DD | Economics Data Description.txt |
| Session 8 and 9 Dataset Waffle Divorce | Waffle_Divorce.RData |
| Session 8 and 9 Dataset Waffle Divorce DD | Waffle Divorce Data Description.txt |
| Session 8 and 9 Dataset Credit Card 1 | Customer Acqusition.csv |
| Session 8 and 9 Dataset Credit Card 2 | Repayment.csv |
| Session 8 and 9 Dataset Credit Card 3 | spend.csv |
| Session 8 and 9 Dataset Credit Card DD | DD.txt |
| Session 8 and 9 Dataset Healthcare | data.csv |
| Session 8 and 9 Dataset Healthcare DD | data_dictionary.csv |
| Session 8 and 9 Dataset Healthcare DD 2 | DD.txt |
| Session 10 to 13 Deck | Session 10 to 13.pptx |
| Session 10 to 13 NB Computation | Naive Bayes.xlsx |
| Session 10 to 13 Data | customer_personality.csv |
| Session 10 to 13 Code Customer Personality | customer_personality.R |
| Session 10 to 13 Code Grocery | Grocery_data.r |
| Session 14 to 17 Deck | Regression.pptx |
| Data for Regression - Data 1 | scatterplot_data.xlsx |
| Data for Regression - Data 2 | data for regression.csv |
| Data for Regression - Data 3 | advertising.csv |
| Data for Regression - Data Description Data 2 | data for regression DD.txt |
| Data for Regression - Code | Code2.R |
| Session 10 to 13 Naive Bayes New Example and Compu | Naive Bayes New Example.pptx |
| Session 18 to 20 Deck | Clustering.pptx |
| Session 18 to 20 Data | Wholesale customers data.csv |
| Session 18 to 20 Data Description | Wholesale customers data DD.txt |
| Session 18 to 20 Code | clustering.R |
| Quiz 2 - BIDS | Quiz 2.pdf |