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Think STATS
Exploratory Data Analysis
Taschenbuch von Allen Downey
Sprache: Englisch

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Beschreibung
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
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
Über den Autor

Allen Downey is an Associate Professor of Computer Science at the Olin College of Engineering. He has taught computer science at Wellesley College, Colby College and U.C. Berkeley. He has a Ph.D. in Computer Science from U.C. Berkeley and Master's and Bachelor's degrees from MIT.

Details
Erscheinungsjahr: 2014
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: 223 S.
ISBN-13: 9781491907337
ISBN-10: 1491907339
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Downey, Allen
Auflage: 2nd edition
Hersteller: O'Reilly Media
O'Reilly Media, Inc.
Maße: 234 x 179 x 17 mm
Von/Mit: Allen Downey
Erscheinungsdatum: 25.11.2014
Gewicht: 0,38 kg
Artikel-ID: 105245572
Über den Autor

Allen Downey is an Associate Professor of Computer Science at the Olin College of Engineering. He has taught computer science at Wellesley College, Colby College and U.C. Berkeley. He has a Ph.D. in Computer Science from U.C. Berkeley and Master's and Bachelor's degrees from MIT.

Details
Erscheinungsjahr: 2014
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: 223 S.
ISBN-13: 9781491907337
ISBN-10: 1491907339
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Downey, Allen
Auflage: 2nd edition
Hersteller: O'Reilly Media
O'Reilly Media, Inc.
Maße: 234 x 179 x 17 mm
Von/Mit: Allen Downey
Erscheinungsdatum: 25.11.2014
Gewicht: 0,38 kg
Artikel-ID: 105245572
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