Page 4 - E Modul Data Analytics _Neat

Data Analytics

1.5.6 Interpretasi dan Implementasi hasil................................................................... 12
1.5.7 Monitoring dan Evaluasi ...................................................................................... 12

1.6 Aplikasi data analytics................................................................................................. 13
1.6.1 Microsoft Excel ..................................................................................................... 13
1.6.2 Rapidminer ............................................................................................................ 13

1.6.3 Tableau ...................................................................................................................... 14
1.6.4 Power BI ...................................................................................................................... 15
KEGIATAN PEMBELAJARAN 2 ................................................................................................... 16

Data Analytics Lifecycle dan Data Analytics Maturity ............................................................ 16
2.1 Data Analytics Lifecycle .................................................................................................. 17

2.1.1 Fase 1 Discovery .................................................................................................. 17
2.1.2 Fase 2 Data Preparation ..................................................................................... 18
2.1.3 Fase 3 Model Planning ........................................................................................ 18

2.1.4 Fase 4 Model Building ......................................................................................... 19
2.1.5 Fase 5 Communicate Result .............................................................................. 19
2.1.6 Fase Operationalize ............................................................................................. 20

2.2 Data Analytics Maturity .................................................................................................. 21
2.2.1 Descriptive Analytics ............................................................................................ 21
2.2.2 Diagnostic Analytics ............................................................................................. 22

2.2.3 Predictive Analytics .............................................................................................. 23
2.2.4 Prescriptive Analytics........................................................................................... 24

KEGIATAN PEMBELAJARAN 3 ................................................................................................... 26
Konsep, Teori, Framework Aktivitas Data Analytics ............................................................... 26
3.1 Proses Koleksi Data Internal Dan Data Crawling Dari Internet ............................ 27
3.1.1 Jenis Data Menurut Cara perolehan data ............................................................ 27

3.1.2 Data Crawling ....................................................................................................... 28
3.2 Akses sumber data terbuka seperti: Kaggle, UCI repository, satudata. ............... 28
3.3 Pembagian perlakuan terhadap data tergantung jenis data: high dimensional
data, network data, text data (sentiment analysis), etc .................................................... 31

3.3.1 High Dimensional Data........................................................................................... 31
3.3.2 Analisis Sentimen ................................................................................................... 32
3.3.3 Network Data .......................................................................................................... 33

3.4 Structured vs unstructured data ................................................................................ 34
3.4.1 Structured Data (Data Terstruktur) .................................................................... 35

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