1. DQLAB
1.1. R
1.1.1. Introduction to Data Science With R
1.1.1.1. Selesai
1.1.2. R Fundamental of Data Science
1.1.2.1. Selesai
1.1.3. Data Preparation Data Science Using R
1.1.3.1. Sedang diproses
1.1.4. Statistika using R for Data Science
1.1.5. Data Visualization Data Science Using R
1.1.6. Fundamental Data Science Using R
1.1.7. Advanced Data Visualization with ggplot2 using R
1.1.8. Data science in Finance : Credit risk analysis
1.1.9. Data science in Retail : Market Basket Analysis
1.1.10. Data science in Marketing : Customer Segmentation
1.1.11. Data science in finance : Dimension Reduction
1.1.12. Analysis data COVID19 Indonesia
1.1.13. a walk into sensory science
1.2. Python
1.2.1. Introduction to data science with Python
1.2.2. Python fundamental for data science
1.2.3. data wrangling Python
1.2.4. Python for data professional beginner part 1
1.2.5. Python for data professional beginner part 2
1.2.6. Python for data professional beginner part 3
1.2.7. exploratory data analysis with Python for beginner
1.2.8. data visualization with Python matplotplib for beginner part 1
1.2.9. data visualization with Python matplotplib for beginner part 2
1.2.10. data quality with Python for beginner
1.2.11. machine learning with Python for beginner
1.2.12. fundamental data visualization with Python
1.2.13. data manipulation with Pandas part 1
1.2.14. data manipulation with Pandas part 2
1.2.15. statistic using Python for data science part 1
1.2.16. statistic using Python for data science part 2
1.2.17. data visualization using plotnine
1.2.18. basic feature discovering for machine learning
1.2.19. data science in Telco : data cleansing
1.2.20. customer churn prediction using machine learning
1.2.21. data science project : analysis data COVID19 dunia & asean
1.2.22. data analysis project : business decision research
1.2.23. eksplorasi dan analisis data COVID19 Indonesia using Python
1.2.24. data science in marketing : customer segmentation with Python part 1
1.2.25. data science in marketing : customer segmentation with Python part 2
1.3. SQL
1.3.1. fundamental SQL with SELECT statement
1.3.2. fundamental SQL with SELECT statement
1.3.3. fundamental SQL using FUNCTION and GROUP BY
1.3.4. fundamental SQL using INNER JOIN and UNION
1.3.5. fundamental SQL Group By and Having
1.4. Platinum
1.4.1. Excel
1.4.1.1. cara cepat & mudah menguasai Excel dasar
1.4.1.2. cara cepat & mudah menguasai Excel tingkat lanjut
1.4.1.3. data cleaning dengan Excel
1.4.2. Analytic
1.4.2.1. Digital marketing 101
2. DICODING
2.1. Machine Learning
2.1.1. Belajar visualisasi data
2.1.2. Memulai pemrograman dengan Python
2.1.3. Belajar machine learning pemula
2.1.4. Belajar pengembangan machine learning
3. YOUTUBE
3.1. Deep Learning
3.1.1. Mengkategorikan Fashion
3.1.2. Mendeteksi Kecurangan Kartu Kredit