Data Science and Analytics Certification Program Module D: Predictive Analytics
June 18 @ 8:00 am - June 20 @ 5:00 pm
Schedule:
- June 18-20, 2024, 8:00 AM – 5:00 PM, 3 Days, F2F
Course Description:
- This course surveys the different algorithms for data analytics specifically: classification, regression, feature selection, association, and clustering algorithms for data analytics. You will learn concepts such as problem types, data structure requirements, over and under fitting, and how to evaluate a data analytics model. Advantages and disadvantages of methods are also discussed.
Prerequisite Concepts: College Level Statistics
Course Outline:
- Classification Methodologies
- Frequency Table, Similarity, Perceptron-Based, Ensembles, Model Evaluation
- Regression Methodologies
- Multiple Linear Regression, Model Evaluation, Variable Selection and Model-Building, Indicator Variables, Logistic Regression
- Unsupervised Learning Methodologies
- Market Basket Analysis, Clustering, Text Mining, Social Media Sentiment Analysis
Course Investment:
- Php 15,000.00 per participant
Registration: Click here to register
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