![Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python [Book]](https://img.topicks-online.com/ccsimg/dcs/images/2024_07_06/d9e95d44f01f0183226a18bcb0db0f96.webp)
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python [Book]
ADVERTISEMENT
Product Details
Why exploratory data analysis is a key preliminary step in data science||How random sampling can reduce bias and yield a higher-quality dataset, even with big data||How the principles of experimental design yield definitive answers to questions||How to use regression to estimate outcomes and detect anomalies||Key classification techniques for predicting which categories a record belongs to||Why exploratory data analysis is a key preliminary step in data science||How random sampling can reduce bias and yield a higher-quality dataset, even with big data||How the principles of experimental design yield definitive answers to questions||How to use regression to estimate outcomes and detect anomalies||Key classification techniques for predicting which categories a record belongs to||Statistical machine learning methods that "learn" from data||Unsupervised learning methods for extracting meaning from unlabeled data||About the Author