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Essential Statistics for Non-STEM Data Analysts

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Autor:
Rongpeng Li
Essential Statistics for Non-STEM Data Analysts Rongpeng Li - okładka książki

Essential Statistics for Non-STEM Data Analysts Rongpeng Li - okładka książki

Essential Statistics for Non-STEM Data Analysts Rongpeng Li - okładka audiobooka MP3

Essential Statistics for Non-STEM Data Analysts Rongpeng Li - okładka audiobooks CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
392
Dostępne formaty:
     PDF
     ePub
     Mobi

Ebook

129,00 zł

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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.

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