Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, (Paperback)

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Key item features

Core Statistical Concepts: Covers over 50 essential statistical concepts crucial for data science, bridging the gap for data scientists lacking formal statistical training.
Practical Application Guidance: Provides practical guidance on applying statistical methods to data science, including advice on avoiding misuse and identifying key information.
Programming Language Support: Features comprehensive examples and content using both R and Python programming languages, catering to users familiar with either.
Key Learning Outcomes: Teaches fundamental data science techniques such as exploratory data analysis, random sampling, experimental design, regression, and classification.
Advanced Methodologies Included: Explores statistical machine learning methods that learn from data and unsupervised learning techniques for extracting meaning from unlabeled datasets.
Publication Details: This paperback edition, authored by Peter Bruce, was published on June 16, 2020, and contains 360 pages.

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