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25.9.2

Process & Applications

Exploring Data Visualization

Key Statistical Concepts

Data Preprocessing

Data Reduction & Exploratory Data Analysis (EDA)

K-Nearest Neighbor (k-NN) & Artificial Neural Networks

A/B Testing, Bayesian Networks, & Support Vector Machine

Data Collection & Exploration

Data Considerations in Analytics

Text Mining & Social Network Analysis

Clustering Techniques

Linear & Logical Regression

Time Series Modeling

Machine Learning, Propensity Score, & Segmentation Modeling

Model Development, Validation, & Evaluation

Random Forests & Uplift Models