Introduction to Data Analytics
King Mongkut's Institute of Technology Ladkrabang (CE KMITL). Interactive lecture portal seamlessly combining formatted Markdown notes and original presentation slide materials.
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Course Lectures & Material Bundles
LECTURE 01
01. Introduction to Data Analytics
DIKW Hierarchy, 4 Analytics Types, CRISP-DM Process, Analytics Roles
LECTURE 02
02. Data Processing & Cleansing
Data Quality, Outliers & IQR, Scaling (Min-Max, Z-score), Encoding
LECTURE 03
03. Data Exploration & Visualization
5-Number Summary, Box Plots, Histograms, Correlation & Heatmaps
LECTURE 04
04. AI & Machine Learning Foundations
Supervised vs Unsupervised, Linear Regression, Loss Functions, Gradient Descent
LECTURE 05
05. Decision Tree Classification
Shannon Entropy, Conditional Entropy, Information Gain, Tree Pruning
LECTURE 06
06. Cluster Analysis (Unsupervised)
K-Means, Lloyd Algorithm, Elbow & Silhouette, DBSCAN, PCA Dimensionality Reduction
LECTURE 07
07. Classification Evaluation & Metrics
Confusion Matrix, Accuracy, Precision, Recall, F1-Score, ROC/AUC