Module 1 – Foundations For Data Science
- Introduction to Data Science
- Statistical Thinking
- Digital Leadership
- Feature Engingeering
- Exploratory Data Analysis (EDA)
- Graphical and Numerical Analysis
- Automated Exploratory Data Analysis (EDA)
- Automated Exploratory Data Analysis
- Reproducible Data Analysis
Module 3 – Machine Learning
- Hypothesis & Modeling
- Introduction to Supervised Learning - Regression
- Model Evaluation- Cross Validation and Bootstrapping
- Introduction to Unsupervised Learning-Classification
Module 4 – Model Performance Analytics
- The Science of Predictive Modeling
- Learning Curve
- ROC Analysis
Module 5 – Actionable Insights And Storytelling
- Data Storytelling and Communication
- Jenis-Jenis Grafik
- Gestalt Principles of Visual Perception
- Machine Learning Visualization (ML Insight & Storytelling)
- Mengukur kualitas Visualisasi
Module 1 : Level Beginner
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