Packt – Essential Statistics For Non-STEM Data Analysts 2020 RETAiL ePub eBook-LiBRiCiDE
English | Size: 9.24 MB
Category: Tutorial
Statistics remain the backbone of modern analysis tasks, helping you to interpret the results produced by data science pipelines. This book is a detailed guide covering the math and various statistical methods required for undertaking data science tasks.
The book starts by showing you how to preprocess data and inspect distributions and correlations from a statistical perspective. You’ll then get to grips with the fundamentals of statistical analysis and apply its concepts to real-world datasets. As you advance, you’ll find out how statistical concepts emerge from different stages of data science pipelines, understand the summary of datasets in the language of statistics, and use it to build a solid foundation for robust data products such as explanatory models and predictive models. Once you’ve uncovered the working mechanism of data science algorithms, you’ll cover essential concepts for efficient data collection, cleaning, mining, visualization, and analysis. Finally, you’ll implement statistical methods in key machine learning tasks such as classification, regression, tree-based methods, and ensemble learning.
By the end of this Essential Statistics for Non-STEM Data Analysts book, you’ll have learned how to build and present a self-contained, statistics-backed data product to meet your business goals.
Publication date:
November 2020
Publisher
Packt
Pages
392
ISBN
9781838984847
Download code from GitHub
| Packt Publishing – Essential Statistics for Non-STEM Data Analysts: Get |
| to Grips with the Statistics and Math Knowledge Needed to Enter the |
| World of Data Science with Python. |
|____________________________________________________________________________|
| “You don’t have to burn books to destroy a culture. Just get people to |
| stop reading them.” – Ray Bradbury |
| |
|_ .nfo by gRISKOKARE/iMPURE!aSCII 1940. _|
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