This bundle is for those who wants to learn Statistics for Data Science. Beginners to Experts can take up this material to explore and understand statistics from high to granular level.
Statistics is a fundamental skill that data scientists use every day. It is the branch of mathematics that allows us to collect, describe, interpret, visualise, and make inferences about data. Data scientists will use it for data analysis, experiment design, and statistical modelling.
Statistics is also essential for machine learning. We will use statistics to understand the data prior to training a model. When we take samples of data for training and testing our models we need to employ statistical techniques to ensure fairness. When evaluating the performance of a model we need statistics to assess the variability of the predictions and assess accuracy.
“If statistics are boring, you’ve got the wrong numbers.”, Edward Tufte
These are just some of the ways in which statistics are employed by data scientists. If you are studying data science it is therefore essential to develop a good understanding of these statistical techniques.
This is one area where books can be a particularly useful study tool as detailed explanations of statistical concepts is essential to your understanding.
In this bundle, you will get top 5 books for learning statistics for data science.