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phase_0
phase_0
 
 
1. Data Scince, install anaconda & Vsc.ipynb
1. Data Scince, install anaconda & Vsc.ipynb
 
 
10. Eigen decomposition.ipynb
10. Eigen decomposition.ipynb
 
 
11. Calculus.ipynb
11. Calculus.ipynb
 
 
12. Math Solving Cases.ipynb
12. Math Solving Cases.ipynb
 
 
13. SQL Basic - SQL Syntax.sql.sql
13. SQL Basic - SQL Syntax.sql.sql
 
 
14. SQL(Groupby,Join) & GCP - SQL Syntax.sql.sql
14. SQL(Groupby,Join) & GCP - SQL Syntax.sql.sql
 
 
16. Probability & Distribution.ipynb
16. Probability & Distribution.ipynb
 
 
17. Descriptive Statistics.ipynb
17. Descriptive Statistics.ipynb
 
 
18. Latihan Descriptive Statistics.ipynb
18. Latihan Descriptive Statistics.ipynb
 
 
19. Practical Statistics _ Descriptive with SQL.ipynb
19. Practical Statistics _ Descriptive with SQL.ipynb
 
 
2. Data Type, Variable &Operator.ipynb
2. Data Type, Variable &Operator.ipynb
 
 
20. Latihan Inferential Statistics.ipynb
20. Latihan Inferential Statistics.ipynb
 
 
21. Inferential Statistics.ipynb
21. Inferential Statistics.ipynb
 
 
22. Latihan Inferential Statistics.ipynb
22. Latihan Inferential Statistics.ipynb
 
 
23. Web Scraping Project.py
23. Web Scraping Project.py
 
 
24. Data Visualisasi.ipynb
24. Data Visualisasi.ipynb
 
 
25. Interactive Data Visualization.py
25. Interactive Data Visualization.py
 
 
3. Conditionals & Loops.ipynb
3. Conditionals & Loops.ipynb
 
 
4. Functions, Modules & Packages.ipynb
4. Functions, Modules & Packages.ipynb
 
 
5. Latihan NumPy.ipynb
5. Latihan NumPy.ipynb
 
 
6. Pandas Basic.ipynb
6. Pandas Basic.ipynb
 
 
7. Pandas NBA & Solving.ipynb
7. Pandas NBA & Solving.ipynb
 
 
8. Vector.ipynb
8. Vector.ipynb
 
 
9. Matrix.ipynb
9. Matrix.ipynb
 
 
README.md
README.md
 
 

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Learning-Journal-0

Introduction to Data Science, Probability, Statistics & Mathematics. This folder Learn the fundamentals of Python, NumPy, Pandas, and SQL for analyzing data. Draw conclusions from data with probability, descriptive and inferential statistics, and mathematics such as calculus and algebra. Data Visualization to create interactive dashboards.

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Introduction to Data Science, Probability, Statistics & Mathematics. This folder Learn the fundamentals of Python, NumPy, Pandas, and SQL for analyzing data. Draw conclusions from data with probability, descriptive and inferential statistics, and mathematics such as calculus and algebra. Data Visualization to create interactive dashboards.

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conditional-statementsdata-sciencedescriptive-statisticsdistributedeigen-vector-decompositioninferential-statisticsloopsmatrixpandaspandas-basicprobabilitysolvingproblemssqlvectorvisualization

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