Curriculum
- 9 Sections
- 47 Lessons
- 10 Weeks
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- Data Warehouse and Data Mining [Module 1]:- Data Warehousing Fundamentals10
- 16.1Introduction to Data Warehouse11 Minutes
- 16.2Meta Data5 Minutes
- 16.3Data Mart6 Minutes
- 16.4Data Warehouse Architecture7 Minutes
- 16.5How to Draw Star , Smowflake and Fack Constelation Basics10 Minutes
- 16.6Numericals on Star , Snowflake and Fact Constelation [ Part 1 ]16 Minutes
- 16.7Numericals on Star , Snowflake and Fact Constelation [ Part 2 ]11 Minutes
- 16.8What is Olap Operations8 Minutes
- 16.9OLAP VS OLTP8 Minutes
- 16.10Extract Transform and Load (ETL)9 Minutes
- Data Warehouse and Data Mining [Module 2]:- Introduction to Data Mining, Data Exploration7
- Data Warehouse and Data Mining [Module 3]:- Classification4
- Data Warehouse and Data Mining [Module 4]:- Clustering6
- 19.1K Mean clustering with Example [ Type 1 ]12 Minutes
- 19.2K Mean clustering with Example [ Type 2 ]23 Minutes
- 19.3K Mean Numerical Solved Example [ May 2022 , May 2023 ] [ 10 Marks ]
- 19.4K Medoid with Example21 Minutes
- 19.5Agglomerative Clustering Algorithm with Example13 Minutes
- 19.6Agglomerative Adjacency Matrix using Euclidean Distance with Solved Example5 Minutes
- Data Warehouse and Data Mining [Module 5]:-Mining frequent patterns and associations2
- Data Warehouse and Data Mining [Module 6]:- Web Mining4
- Data Warehouse and Data Mining [Notes]:-2
- Data Warehouse and Data Mining [Viva Question]:-6
- Data Warehouse and Data Mining [ Importance ] :-6
Meta Data
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