Data Mining & Business Intelligence
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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16 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
Mastering Data Mining & Business Intelligence Techniques
36 lessons
• 5 hours
- Data Mining & Business Intelligence | Tutorial #1 | The KDD Process 09:33
- Data Mining & Business Intelligence | Tutorial #2 | Architecture Of Data Mining System 09:45
- Data Mining & Business Intelligence | Tutorial #3 | Issues in Data Mining 10:56
- Data Mining & Business Intelligence | Tutorial #4 | Forms Of Data Preprocessing 09:49
- Data Mining & Business Intelligence | Tutorial #5 | Measuring Central Tendency 06:29
- Data Mining & Business Intelligence | Tutorial #6 | Measuring Central Tendency (Solved Problem) 06:08
- Data Mining & Business Intelligence | Tutorial #7 | Measuring Data Dispersion 06:31
- Data Mining & Business Intelligence | Tutorial #8 | Data Summarization Techniques 06:17
- Data Mining & Business Intelligence | Tutorial #9 | Measuring Data Dispersion (Solved Problem) 16:49
- Data Mining & Business Intelligence | Tutorial #10 | Data Cleaning Process 09:14
- Data Mining & Business Intelligence | Tutorial #11 | Smoothing by Binning (Solved Problem) 17:43
- Data Mining & Business Intelligence | Tutorial #12 | Data Integration Process 07:23
- Data Mining & Business Intelligence | Tutorial #13 | Data Transformation Process 06:36
- Data Mining & Business Intelligence | Tutorial # 14 | Normalization Techniques (Solved Problem) 08:33
- Data Mining & Business Intelligence | Tutorial #15 | Data Reduction - Data Cube Aggregation 07:10
- Data Mining & Business Intelligence | Tutorial #16 | Data Reduction - Attribute Subset Selection 05:38
- Data Mining & Business Intelligence | Tutorial #17 | Data Reduction - Dimensionality Reduction 07:13
- Data Mining & Business Intelligence | Tutorial #18 | Data Reduction - Numerosity Reduction 06:56
- Data Mining & Business Intelligence | Tutorial #19 | Data Discretization 04:53
- Data Mining & Business Intelligence | Tutorial #20 | Data Reduction - Concept Hierarchy Generation 05:09
- Data Mining & Business Intelligence | Tutorial #21 | Apriori Algorithm (Solved Problem) 23:23
- Data Mining & Business Intelligence | Tutorial #22 | BIRCH 06:40
- Data Mining & Business Intelligence | Tutorial #23 | Kmeans Algorithm (Solved Problem) 09:43
- Data Mining & Business Intelligence | Tutorial # 24 | DBSCAN 06:36
- Data Mining & Business Intelligence | Tutorial #25 | Single Linkage Clustering (Solved Problem) 14:49
- Data Mining & Business Intelligence | Tutorial #26 | OPTICS 07:17
- 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 BI 07:39
- Data Mining & Business Intelligence | Tutorial #30 | BI Architecture 04:29
- Data Mining & Business Intelligence | Tutorial #31 | BI System Development 05:22
- Data Mining & Business Intelligence | Tutorial #32 | BI Decisions 04:00
- Data Mining & Business Intelligence | Tutorial #33 | Decision Support System 06:01
- Data Mining & Business Intelligence | Tutorial #34 | DSS Development 03:58
- Data Mining & Business Intelligence | ML | Tutorial #35 | Bagging (Bootstrap Aggregation) 06:05
- Data Mining & Business Intelligence| ML | Tutorial #36 | Boosting (Adaboost) 04:55
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