STATISTICS-FOR-DATA-SCIENTISTS-PYTHON

Repository of all the python codes for the Book : Practical Statistics for Data Scientists.

The idea was to re-write the orginal code in R to Python so that it can be used for future reference by me or by other budding data-scientists.

CHAPTER 1 : EXPLORATORY DATA-ANALYSIS

1. Estimates of Location:

1. Mean
2. Median and Robust Estimates

2. Estimates of Variability

1. Standard Devation and Related Estimates

3. Exploring Data Distribution

1. Boxplots
2. Histograms
3. Density Estimates

4. Correlation

1. Scatter Plot
2. Hex Plot	
3. Contour Plot

CHAPTER 2 : Data and Sampling Distributions

1. Random Sampling and Bias

2. Sampling Distribution of a Statistic

1. Regression to the mean

3. Central Limit Theorem

4. Bootstrapping

1. Bootstrapping vs Resampling

5. Confidence Interval

6. Normal Distributions and QQ Plots

7. Long-Tailed Distribution

8. Binomial Distribution

CHAPTER 3 : Statistical Experiments and Significance Testing

TO BE COMPLETED

CHAPTER 4 : Regression and Prediction

TO BE COMPLETED