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8 Sections
25 Lessons
Lifetime
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PERSIAPAN
2
2.1
Pre-Test Akademi Data Scientist
10 Minutes
10 Questions
2.2
Download Bundle Materi Akademi Data Scientist
1. PENGANTAR
4
3.1
1.1 Apa dan Mengapa Data Science?
3.2
1.2 Peran Utama dan Metode Data Science
3.3
1.3 Sejarah dan Penerapan Data Science
3.4
1.4 Referensi
2. PROSES
5
4.1
2.1 Proses dan Tools Data Science
4.2
2.2 Penerapan Proses Data Science
4.3
2.3 Evaluasi Model Data Science
4.4
2.4 Proses Data Science berbasis CRISP-DM
4.5
2.5 Referensi
3. PERSIAPAN DATA
5
5.1
3.1 Data Cleaning
5.2
3.2 Data Reduction
5.3
3.3 Data Transformation
5.4
3.4 Data Integration
5.5
3.5 Referensi
4. ALGORITMA
4
6.1
4.1 Algoritma Klasifikasi
6.2
4.2 Algoritma Klastering
6.3
4.3 Algoritma Asosiasi
6.4
4.4 Algoritma Estimasi dan Forecasting
5. TEXT MINING
3
7.1
5.1 Text Mining Concepts
7.2
5.2 Text Clustering
7.3
5.3 Text Classification
6. RESEARCH
3
8.1
6.1 Data Science Research
8.2
6.2 Data Science Laws
8.3
6.3 Data Science Use Cases
PENUTUPAN
1
9.1
Post-test Akademi Data Scientist
10 Minutes
10 Questions
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