Mastering Python Data Analysis: Become an expert at using Python for advanced statistical analysis of data using real-world examples

Vilhelm Persson

₱2806.99

5 (1 Ratings)

Paperback Jun 2016 284 pages 1st Edition

eBook

₱2020.99 ~~₱2245.99~~

Vilhelm Persson

₱2806.99

5 (1 Ratings)

Paperback Jun 2016 284 pages 1st Edition

eBook

₱2020.99 ~~₱2245.99~~

₱2020.99 ~~₱2245.99~~

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Key benefits

Clean, format, and explore data using graphical and numerical summaries
Leverage the IPython environment to efficiently analyze data with Python
Packed with easy-to-follow examples to develop advanced computational skills for the analysis of complex data

Description

Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning. Ever imagined how to become an expert at effectively approaching data analysis problems, solving them, and extracting all of the available information from your data? Well, look no further, this is the book you want! Through this comprehensive guide, you will explore data and present results and conclusions from statistical analysis in a meaningful way. You’ll be able to quickly and accurately perform the hands-on sorting, reduction, and subsequent analysis, and fully appreciate how data analysis methods can support business decision-making. You’ll start off by learning about the tools available for data analysis in Python and will then explore the statistical models that are used to identify patterns in data. Gradually, you’ll move on to review statistical inference using Python, Pandas, and SciPy. After that, we’ll focus on performing regression using computational tools and you’ll get to understand the problem of identifying clusters in data in an algorithmic way. Finally, we delve into advanced techniques to quantify cause and effect using Bayesian methods and you’ll discover how to use Python’s tools for supervised machine learning.

Who is this book for?

If you are a competent Python developer who wants to take your data analysis skills to the next level by solving complex problems, then this advanced guide is for you. Familiarity with the basics of applying Python libraries to data sets is assumed.

What you will learn

Read, sort, and map various data into Python and Pandas
Recognise patterns so you can understand and explore data
Use statistical models to discover patterns in data
Review classical statistical inference using Python, Pandas, and SciPy
Detect similarities and differences in data with clustering
Clean your data to make it useful
Work in Jupyter Notebook to produce publication ready figures to be included in reports

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Mher kazandjian Sep 18, 2016

A book that provides a comprehensive set tools and techniques for real life dataanalysis and lots of examples.Unlike many mainstream books that usually use synthetic data, the examples in thisbook use actual data that is publicly available. The examples and code samplesof the various algorithms and techniques run out of the box requiring minimalsetup.The book starts with a good introduction on statistical distributions followedby modelling techniques to assess the quality and the significance of the models.These are essential tools for any researcher or scientist or developer that wantto make sense of models in academia or industry.The second part of the book is really exciting connecting clustering techniquesto machine learning and time-series analysis that is at the core of big datanowadays.

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Mastering Python Data Analysis: Become an expert at using Python for advanced statistical analysis of data using real-world examples

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