Description
Book Synopsis: If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly revised book, you’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. You’ll explore distributions, rules of probability, visualization, and many other tools and concepts. New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries. Develop an understanding of probability and statistics by writing and testing code. Run experiments to test statistical behavior, such as generating samples from several distributions. Use simulations to understand concepts that are hard to grasp mathematically. Import data from most sources with Python, rather than rely on data that’s cleaned and formatted for statistics tools. Use statistical inference to answer questions about real-world data.
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Details
Unlock the power of data and gain a competitive edge with Think Stats: Exploratory Data Analysis Book. With the ability to turn data into knowledge, this book equips you with the tools of probability and statistics to make informed decisions. Written in Python, this compact guide takes you on a computational journey of statistical analysis, allowing you to delve into the world of data without getting bogged down in complex math.
Experience the entire process of exploratory data analysis with a comprehensive case study that runs throughout the book. From data collection to generating statistics, identifying patterns, and testing hypotheses – you'll have all the knowledge and techniques at your fingertips. Discover distributions, rules of probability, visualization, and many other fundamental tools that will empower your data-driven decision-making process.
What sets Think Stats apart is its practicality. With new chapters on regression, time series analysis, survival analysis, and analytic methods, you'll have the latest techniques to analyze data effectively. Gain a deeper understanding of probability and statistics by writing and testing code, running experiments, and using simulations to grasp complex concepts that are often hard to understand mathematically.
Forget reliance on pre-cleaned and formatted data – with Python, you'll be able to import data from most sources, giving you ultimate flexibility and control. Make use of statistical inference to answer real-world questions and uncover insights about your data.
Don't waste another minute. Take control of your data and transform it into actionable knowledge. Get your copy of Think Stats: Exploratory Data Analysis Book today and unlock the potential within your data!
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