Mastering Data Mining & Business Intelligence Techniques
Master the Art of Data Mining and Business Intelligence: Unlock Insights, Drive Decisions, and Transform Data into Actionable Knowledge with RANJI RAJ's Comprehensive Tutorials!
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274 learners
What you'll learn
Understand the KDD process and its role in data mining.
Apply data integration and transformation techniques for data preparation.
Implement various data reduction strategies to optimize data handling.
Explore diverse classification and clustering algorithms for effective data analysis.
This course includes
5 hours of video
Certificate of completion
Access on mobile and TV
Course content
1 modules
• 36 lessons
• 5 hours of video
Mastering Data Mining & Business Intelligence Techniques
36 lessons
• 5 hours
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Data Mining & Business Intelligence | Tutorial #1 | The KDD Process09:33
Data Mining & Business Intelligence | Tutorial #2 | Architecture Of Data Mining System09:45
Data Mining & Business Intelligence | Tutorial #3 | Issues in Data Mining10:54
Data Mining & Business Intelligence | Tutorial #4 | Forms Of Data Preprocessing09:49
Data Mining & Business Intelligence | Tutorial #5 | Measuring Central Tendency06:29
Data Mining & Business Intelligence | Tutorial #6 | Measuring Central Tendency (Solved Problem)06:07
Data Mining & Business Intelligence | Tutorial #7 | Measuring Data Dispersion06:31
Data Mining & Business Intelligence | Tutorial #8 | Data Summarization Techniques06:16
Data Mining & Business Intelligence | Tutorial #9 | Measuring Data Dispersion (Solved Problem)16:48
Data Mining & Business Intelligence | Tutorial #10 | Data Cleaning Process09:13
Data Mining & Business Intelligence | Tutorial #11 | Smoothing by Binning (Solved Problem)17:34
Data Mining & Business Intelligence | Tutorial #12 | Data Integration Process07:22
Data Mining & Business Intelligence | Tutorial #13 | Data Transformation Process06:36
Data Mining & Business Intelligence | Tutorial # 14 | Normalization Techniques (Solved Problem)08:32
Data Mining & Business Intelligence | Tutorial #15 | Data Reduction - Data Cube Aggregation07:10
Data Mining & Business Intelligence | Tutorial #16 | Data Reduction - Attribute Subset Selection05:38
Data Mining & Business Intelligence | Tutorial #17 | Data Reduction - Dimensionality Reduction07:12
Data Mining & Business Intelligence | Tutorial #18 | Data Reduction - Numerosity Reduction06:55
Data Mining & Business Intelligence | Tutorial #19 | Data Discretization04:53
Data Mining & Business Intelligence | Tutorial #20 | Data Reduction - Concept Hierarchy Generation05:09
Data Mining & Business Intelligence | Tutorial #21 | Apriori Algorithm (Solved Problem)23:23
Data Mining & Business Intelligence | Tutorial #22 | BIRCH06:40
Data Mining & Business Intelligence | Tutorial #23 | Kmeans Algorithm (Solved Problem)09:42
Data Mining & Business Intelligence | Tutorial # 24 | DBSCAN06:36
Data Mining & Business Intelligence | Tutorial #25 | Single Linkage Clustering (Solved Problem)14:49
Data Mining & Business Intelligence | Tutorial #26 | OPTICS07:16
Data Mining & Business Intelligence | Tutorial #27 | Decision Trees (Solved Problem)13:22
Data Mining & Business Intelligence | Tutorial #28 | Naive Bayes Classification (Solved Problem)11:34
Data Mining & Business Intelligence | Tutorial # 29 | Introduction to BI07:38
Data Mining & Business Intelligence | Tutorial #30 | BI Architecture04:29
Data Mining & Business Intelligence | Tutorial #31 | BI System Development05:22
Data Mining & Business Intelligence | Tutorial #32 | BI Decisions03:59
Data Mining & Business Intelligence | Tutorial #33 | Decision Support System06:00
Data Mining & Business Intelligence | Tutorial #34 | DSS Development03:57
Data Mining & Business Intelligence | ML | Tutorial #35 | Bagging (Bootstrap Aggregation)06:05
Data Mining & Business Intelligence| ML | Tutorial #36 | Boosting (Adaboost)04:55
