Practical Statistics for Data Scientists

In this comprehensive book, you'll delve into the fundamental concepts and techniques of data science, starting with the importance of exploratory data analysis as a preliminary step.
  • Discover how the strategic use of random sampling can mitigate bias and lead to higher-quality datasets, even when dealing with vast amounts of big data.
  • Uncover the principles of experimental design, enabling you to obtain definitive answers to your research questions.
  • Gain insights into the power of regression analysis, not only for estimating outcomes but also for detecting anomalies within your data.
  • Explore key classification techniques that empower you to predict the categories to which records belong, facilitating informed decision-making.
  • Delve into the realm of statistical machine learning, where algorithms have the ability to learn from data, improving their performance over time.
  • Explore unsupervised learning methods, which allow you to extract meaningful patterns and insights from unlabeled data, paving the way for new discoveries and valuable knowledge.

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