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1 | 1 | # Statistics-for-Data-Science-using-Python |
2 | 2 | Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Learning statistical concepts are very important to Data science domain and its application using Python. Learn about Numpy, Pandas Data Frame. |
| 3 | +### Statistics: |
| 4 | +Science of Average and their Estimate |
| 5 | +### Data Science: |
| 6 | +Data Science is primarily used to make decisions and predictions. |
| 7 | + |
| 8 | +### Business Intelligence: |
| 9 | +Enable the business to make intelligent, fact-based decision. |
| 10 | + |
| 11 | + |
| 12 | +# Table of Content |
| 13 | +1. Data and its Types |
| 14 | +2. Variable and it's Types |
| 15 | +3. Sample and Population |
| 16 | +4. Sampling Techniques |
| 17 | +5. Descriptive Statistics |
| 18 | +6. Information Gain and Entropy |
| 19 | +7. Probability and it's Uses |
| 20 | +8. Baye's Theorem |
| 21 | +9. Statistical Inference |
| 22 | +10. Hypothesis Testing |
| 23 | +11. Testing the Data |
| 24 | +12. Data Clustering |
| 25 | +13. Regression Modelling |
| 26 | + |
| 27 | + |
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