Mastering Statistics for Data Science & Business
Mastering Statistics for Data Science & Business: Comprehensive Guide to Analytical Techniques, Predictive Models, and Practical Applications in Professional Settings by R. Parvin
English | January 20, 2024 | ISBN: N/A | ASIN: B0CSXKKWK5 | 251 pages | EPUB | 1.51 Mb
English | January 20, 2024 | ISBN: N/A | ASIN: B0CSXKKWK5 | 251 pages | EPUB | 1.51 Mb
“Mastering Statistics for Data Science & Business” is an essential guide for professionals and students keen on understanding the vital role of statistics in data science and business contexts. This comprehensive book delves deep into analytical techniques, predictive models, and practical applications, making complex concepts accessible to both beginners and seasoned practitioners.
Key Features:
- Extensive Coverage: Spread across eight sections, the book covers everything from the fundamentals of descriptive statistics to advanced concepts in regression analysis.
- Practical Approach: Each chapter is crafted to provide real-world applications, ensuring that theoretical knowledge is effectively translated into professional settings.
- Clear Explanations: Concepts are explained in a straightforward manner, accompanied by examples, making them easy to grasp.
- Descriptive Statistics: Understand data types, measurement levels, and visualization techniques.
- Central Tendency and Dispersion: Learn about mean, median, mode, variance, standard deviation, and more.
- Statistical Distributions: Explore normal distributions, standard error, and the Central Limit Theorem.
- Estimation Techniques: Dive into confidence intervals, point estimation, and interval estimation.
- Hypothesis Testing: Get to grips with formulating hypotheses, setting up rejection regions, and understanding errors.
- Regression Analysis: From fundamentals to advanced concepts, grasp everything about regression, including linear models, R-squared, and diagnostics.