Course Description
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Module 01: What is Business Intelligence?00:05:00
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Module 02: Starting Case in understanding BI needs in diff phase of business00:07:00
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Module 03: Decision Making Process and Need of IT systems00:20:00
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Module 04: Problem Structure and Decision Support System00:11:00
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Module 05: Introduction to BI Applications00:18:00
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Module 06: Dashboard presentation systems00:07:00
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Module 07: Different Types of Charts used in 131 Dashboards00:30:00
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Module 08: Good Dashboard and BSC00:13:00
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Module 09: Examples of Bad Dashboards 100:07:00
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Module 10: Examples of Bad Dashboards 200:01:00
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Module 11: Process of KPI Development00:26:00
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Module 12: Overview of Data warehouse00:08:00
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Module 13: More explaining of data warehouse and steps in processing00:09:00
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Module 14: Data Warehouse Architecture –Tiers00:18:00
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Module 15: Data Warehouse – components00:15:00
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Module 16: Approach to develop data structure and Models of database00:16:00
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Module 17: Basics of Data Mining – Meaning00:35:00
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Module 18: Basics of Data Mining – Stages of DM00:25:00
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Module 19: Data Mining Technique – Classification00:17:00
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Module 20: Data mining – Clustering00:02:00
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Module 21: Data Mining – Association Rules00:05:00
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Module 22: Data Mining Applications – Banking00:03:00
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Module 23: Data Mining Applications – CRM00:04:00
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Module 24: Data Mining Applications – other industries00:04:00
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Assignment – Business Intelligence and Data Mining
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