Data Science

26 lessons View examples

๋ฐ์ดํ„ฐ ๊ณผํ•™ ํ•™์Šต ๊ฐ€์ด๋“œ

00_Overview.md

1. NumPy ๊ธฐ์ดˆ

01_NumPy_Basics.md

2. NumPy ๊ณ ๊ธ‰

02_NumPy_Advanced.md

3. Pandas ๊ธฐ์ดˆ

03_Pandas_Basics.md

4. Pandas ๋ฐ์ดํ„ฐ ์กฐ์ž‘

04_Pandas_Data_Manipulation.md

5. Pandas ๊ณ ๊ธ‰

05_Pandas_Advanced.md

6. ๋ฐ์ดํ„ฐ ์ „์ฒ˜๋ฆฌ

06_Data_Preprocessing.md

7. ๊ธฐ์ˆ ํ†ต๊ณ„์™€ EDA (ํƒ์ƒ‰์  ๋ฐ์ดํ„ฐ ๋ถ„์„)

07_Descriptive_Stats_EDA.md

8. ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™” ๊ธฐ์ดˆ (Matplotlib)

08_Data_Visualization_Basics.md

9. ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™” ๊ณ ๊ธ‰ (Seaborn)

09_Data_Visualization_Advanced.md

ํƒ์ƒ‰์  ์ž๋ฃŒ ๋ถ„์„์—์„œ ํ†ต๊ณ„์  ์ถ”๋ก ์œผ๋กœ

10_From_EDA_to_Inference.md

11. ํ™•๋ฅ ๋ก  ๋ณต์Šต (Probability Review)

11_Probability_Review.md

12. ํ‘œ๋ณธ๊ณผ ์ถ”์ • (Sampling and Estimation)

12_Sampling_and_Estimation.md

13. ์‹ ๋ขฐ๊ตฌ๊ฐ„ (Confidence Intervals)

13_Confidence_Intervals.md

14. ๊ฐ€์„ค๊ฒ€์ • ์‹ฌํ™” (Advanced Hypothesis Testing)

14_Hypothesis_Testing_Advanced.md

15. ๋ถ„์‚ฐ๋ถ„์„ (ANOVA - Analysis of Variance)

15_ANOVA.md

16. ํšŒ๊ท€๋ถ„์„ ์‹ฌํ™” (Advanced Regression Analysis)

16_Regression_Analysis_Advanced.md

17. ์ผ๋ฐ˜ํ™” ์„ ํ˜•๋ชจํ˜• (Generalized Linear Models)

17_Generalized_Linear_Models.md

18. ๋ฒ ์ด์ง€์•ˆ ํ†ต๊ณ„ ๊ธฐ์ดˆ (Introduction to Bayesian Statistics)

18_Bayesian_Statistics_Basics.md

19. ๋ฒ ์ด์ง€์•ˆ ์ถ”๋ก  (Bayesian Inference)

19_Bayesian_Inference.md

20. ์‹œ๊ณ„์—ด ๋ถ„์„ ๊ธฐ์ดˆ (Time Series Analysis Fundamentals)

20_Time_Series_Basics.md

21. ์‹œ๊ณ„์—ด ๋ชจํ˜• (Time Series Models)

21_Time_Series_Models.md

22. ๋‹ค๋ณ€๋Ÿ‰ ๋ถ„์„ (Multivariate Analysis)

22_Multivariate_Analysis.md

23. ๋น„๋ชจ์ˆ˜ ํ†ต๊ณ„ (Nonparametric Statistics)

23_Nonparametric_Statistics.md

24. ์‹คํ—˜ ์„ค๊ณ„ (Experimental Design)

24_Experimental_Design.md

25. ์‹ค์ „ ํ”„๋กœ์ ํŠธ - ๋ฐ์ดํ„ฐ ๋ถ„์„ ์ข…ํ•ฉ ์‹ค์Šต

25_Practical_Projects.md