Curriculum
- 9 Sections
- 73 Lessons
- 24 Hours
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- Live Course1
- Introduction2
- Session 1 : Introduction to Data Science11
- Session 2:Data Mining Tasks11
- 5.1Definition of Data Mining Tasks
- 5.2Classification
- 5.3Regression
- 5.4Clustering
- 5.5Deviation/Anomaly Detection
- 5.6Pattern Discovery
- 5.7Association Rules Mining
- 5.8Challenging Issues
- 5.9Practical: Create Machine Learning Experiment
- 5.10Practical : Apply Classification Techniques
- 5.11Practical : Visualize and Discuss the Results
- Session 3: Data Issues8
- Session 4 :Data Preprocessing10
- 7.1?Why Data Preprocessing is Important
- 7.2Data Preprocessing Tasks
- 7.3Correlation Analysis
- 7.4Data Transformation
- 7.5Data Reduction
- 7.6Data Compression
- 7.7Data Discretization
- 7.8Practical : Open Experiment Workspace
- 7.9Practical : Apply classification Techniques
- 7.10Practical : Visualize and Discuss the Results
- Session 5 :Data Classification11
- 8.1Classification and Prediction
- 8.2Classification Techniques
- 8.3Prediction Techniques
- 8.4Classification Task
- 8.5Classification Applications
- 8.6Overfitting in Classification
- 8.7Prediction Task
- 8.8Regression
- 8.9Practical: Data Prediction: Create Experiment Workspace
- 8.10Practical :Data Prediction : Apply Regression Techniques
- 8.11Practical : Data Prediction : Visualize and Discuss the Results
- Session 6 :Data Clustering10
- 9.1Clustering Approaches
- 9.2Clustering Applications
- 9.3Concepts of Clustering
- 9.4Types of Data in Clustering Analysis
- 9.5Measuring Similarity between Objects
- 9.6Types of Variables in Clustering Analysis
- 9.7Types of Clustering Approaches
- 9.8Practical Data Clustering :Create Experiment Workspace
- 9.9Practical Data Clustering :Apply Clustering Techniques
- 9.10Practical Data Clustering :Visualize and Discuss the Results
- Session 7: Deep Learning9
- 10.1Multiple Layers Neural Network
- 10.2Deep Learning Neural Network
- 10.3Learning Hierarchical Representations
- 10.4Types of Deep Learning Models
- 10.5Convolutional Neural Network
- 10.6Practical Assessment :Project Instructions
- 10.7Practical Assessment : Project Description
- 10.8Practical Assessment : Project Report
- 10.9Practical Assessment Project Assessment Criteria
Objectives
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