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Foundations of Data Science

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Sampling
Lesson 4

Sampling

Data Science

1 Why Data Science?

2 Cause and Effect

3 New Lesson

Tables

1 Expressions

2 Sequences

3 Data Sets

4 Tables

5 Functions

6 Categories

Visualization

1 Charts

2 Histograms

Sampling

1 Sampling

2 Iteration

3 Estimation and Means

4 Variability

Prediction

1 Correlation

2 Explorations: Privacy

3 Regression

4 Prediction

5 Explorations: Design and Critique

6 Errors

7 Multiple Regression

8 Classification

9 Explorations: Machine Learning

10 Midterm

11 Feature Selection

Inference

1 Confidence Intervals

2 Percentiles

3 Distance Between Distributions

4 Hypothesis Testing

5 Hypothesis Testing II

6 Permutation Tests

7 Implementing Permutation Tests

8 A/B Testing

9 Regression Inference

10 Slope Inference

11 Regression Diagnostics

Probability

1 Probability

2 Conditional Probability

Conclusion

1 Statistics

2 Conclusion

Variability

Reading: 3.5 and 3.6
Examples: 3.5 and 3.6

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