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1
1. Fundamental Python (00:00)
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Pengenalan Python
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Percabangan dan Perulangan
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Function, Module, dan Package
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2
2. Numpy and Pandas (00:00)
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NumPy
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Pandas
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3
3. Data Cleaning with Pandas (00:00)
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Data Cleaning with Pandas
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4
4. Data Visualization (00:00)
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Data Visualization
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Assignment 1: Publication-Grade Plot
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5
5. Docker (00:00)
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Introduction to Docker
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6
6. ETL with Python (00:00)
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ETL with Airflow I
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7
7. ETL with Python (00:00)
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ETL with Airflow II
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Assignment 2: Data Pipelines with Airflow
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8
8. Descriptive Statistics (00:00)
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Descriptive Statistics part 1
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Descriptive Statistics part 2
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9
9. Inferential Statistics (00:00)
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Inferential Statistics
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Assignment 3: Statistical Treatment for Retail Datasets
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10
10. Machine Learning - Regression (00:00)
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Introduction to Machine Learning
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Regression Models
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11
11. Machine Learning - Classification (00:00)
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Classification 1
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12
12. Machine Learning - Classification (00:00)
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Classification 2
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13
13. Machine Learning - Unsupervised (00:00)
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Unsupervised Learning
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Final Project
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