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Think STATS: Exploratory Data Analysis by Downey, Allen B.

Description: 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

Price: 19.78 GBP

Location: Gloucester

End Time: 2024-11-10T10:29:59.000Z

Shipping Cost: 21.69 GBP

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Think STATS: Exploratory Data Analysis by Downey, Allen B.Think STATS: Exploratory Data Analysis by Downey, Allen B.

Item Specifics

Return postage will be paid by: Buyer

Returns Accepted: Returns Accepted

After receiving the item, your buyer should cancel the purchase within: 60 days

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EAN: 9781491907337

UPC: 9781491907337

ISBN: 9781491907337

MPN: N/A

Item Length: 23.3 cm

Number of Pages: 226 Pages

Language: English

Publication Name: Think Stats 2e

Publisher: O'reilly Media, INC International Concepts USA

Publication Year: 2014

Subject: Computer Science, Mathematics

Item Height: 233 mm

Item Weight: 390 g

Type: Textbook

Author: Allen Downey

Item Width: 178 mm

Format: Paperback

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