| Business Intelligence and Data Mining | |||
| Module 01: What is Business Intelligence? | 00:05:00 | ||
| Module 02: Starting Case in understanding BI needs in diff phase of business | 00:07:00 | ||
| Module 03: Decision Making Process and Need of IT systems | 00:20:00 | ||
| Module 04: Problem Structure and Decision Support System | 00:11:00 | ||
| Module 05: Introduction to BI Applications | 00:18:00 | ||
| Module 06: Dashboard presentation systems | 00:07:00 | ||
| Module 07: Different Types of Charts used in 131 Dashboards | 00:30:00 | ||
| Module 08: Good Dashboard and BSC | 00:13:00 | ||
| Module 09: Examples of Bad Dashboards 1 | 00:07:00 | ||
| Module 10: Examples of Bad Dashboards 2 | 00:01:00 | ||
| Module 11: Process of KPI Development | 00:26:00 | ||
| Module 12: Overview of Data warehouse | 00:08:00 | ||
| Module 13: More explaining of data warehouse and steps in processing | 00:09:00 | ||
| Module 14: Data Warehouse Architecture –Tiers | 00:18:00 | ||
| Module 15: Data Warehouse – components | 00:15:00 | ||
| Module 16: Approach to develop data structure and Models of database | 00:16:00 | ||
| Module 17: Basics of Data Mining – Meaning | 00:35:00 | ||
| Module 18: Basics of Data Mining – Stages of DM | 00:25:00 | ||
| Module 19: Data Mining Technique – Classification | 00:07:00 | ||
| Module 20: Data mining – Clustering | 00:02:00 | ||
| Module 21: Data Mining – Association Rules | 00:05:00 | ||
| Module 22: Data Mining Applications – Banking | 00:03:00 | ||
| Module 23: Data Mining Applications – CRM | 00:04:00 | ||
| Module 24: Data Mining Applications – other industries | 00:04:00 | ||
| Assignment | |||
| Assignment -Business Intelligence and Data Mining | 2 weeks, 1 day | ||
Business Intelligence and Data Mining is an online course that introduces BI concepts, decision support systems, dashboards, KPIs, data warehouses and data mining techniques. It helps learners understand how organisations use data for reporting, analysis and better decisions.
Yes, this business intelligence course is suitable for beginners and intermediate learners. It starts with core BI ideas and decision-making before moving into dashboards, KPI development, data warehouses, database models and data mining techniques.
Yes, Business Intelligence and Data Mining can be studied online, giving learners flexible access around work, family, job applications or daily routines. It supports learners who want data, reporting and analytics knowledge at their own pace.
The course covers business intelligence, BI needs, decision-making, decision support systems, dashboard presentation, chart types, dashboard quality, KPI development, data warehousing, database models, data mining stages, classification, clustering, association rules and industry applications.
Yes, this course can support career growth in reporting, business intelligence, data analysis, dashboard support, CRM analysis and operations analysis. Career progress depends on your software skills, experience, employer needs and any further learning completed.