- day 1: mengulang webbinar python for data science membuat visualisasi data matplotlib x pandas dan melanjuntak course dasar statistik untuk data science
- day 2: skill academy "dasar programing untukl data science" : sql
- day 3: skill academy: dasar r studio
- day 4: skill academy: data frame & visualisasi data
- day 5: skill academy: advance visualisasi data
- day 6: skill academy: dasar-dasar python, dataframe python dan dasar visualisasi data
- day 7: skill academy: advance data visualization python
- day 8: dqlab "intro sql, dan python for data science 1"
- day 9: dqlab "python for data science 1"
- day 10: dqlab "python for data science 2"
- day 11: dqlab "python for data science 2"
- day 12: dqlab "python for data science 2"
- day 13: dqlab "python for data science 3"
- day 14: dqlab "python for data science 3"
- day 15: dqlab "Fundamental SQL with SELECT Statement"
- day 16: dqlab "Fundamental SQL Using FUNCTION and GROUP BY"
- day 17: dqlab "Fundamental SQL Using INNER JOIN and UNION
- day 18: dqlab "Exploratory Data Analysis with Python for Beginner"
- day 19: dqlab "Data Manipulation with Pandas"
- day 20: dqlab "Data Manipulation with Pandas 2"
- day 21: dqlab "Data Manipulation with Pandas 2"
- day 22: dqlab "Data Visualization with Python Matplotlib for Beginner - Part 1"
- day 23: dqlab "Data Visualization with Python Matplotlib for Beginner - Part 2"
- day 24: dqlab "Data Visualization with Python Matplotlib for Beginner - Part 2"
- day 25: dqlab "Data Visualization with Python Matplotlib for Beginner - Part 2"
- day 26: dqlab "Machine Learning With Python for Beginner: Supervised Learning"
- day 28: statistika inferensia
- day 29: statistika inferensia: confidence interval
- day 30: statistika hypotesis testing
- day 31: statistika regresi linier
- day 32: statistika regresi linier
- day 33: dqlab "Statistic using Python for Data Science "
- day 34: dqlab "Statistic using Python for Data Science part 2"
- day 35: dqlab "Machine Learning With Python for Beginner"
- day 36: udemy "data preprocessing : missing value,scaler,train test split"
- day 37: udemy "ML_regression: simple regresi linier"
- day 38: udemy "ML_regression: multiple linier regression"
- day 39: udemy "ML_regression: Polynomial regression"
- day 40: dqlab "Machine Learning With Python for Beginner: Unsupervised Learning"
- day 41: dqlab "Data Quality with Python for Beginner"
- day 42: dqlab "Data Analyst Project: Business Decision Research"
- day 43: udemy "ML_regression: Support Vector Regression (SVR)"
- day 44: udemy "ML_regression: Decission tree"
- day 45: udemy "ML_regression: Random forrest"
- day 46: udemy "ML_Classification: logistic regression"
- day 47: udemy "ML_Classification: K-NN"
- day 48: udemy "ML_Classification: SVM"
- day 49: udemy "ML_Classification: Kernel SVM"
- day 50: udemy "ML_Classification: naive bayes"
- day 51: udemy "ML_Classification: Decission tree clasification"
- day 52: udemy "ML_Classification: Random forest"
- day 53: udemy "ML_Clustering: KMeans"
- day 54: udemy "ML_Clustering: Hierarchical_Clustering "
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