Téléchargez le livre : A Python Data Analyst's Toolkit

A Python Data Analyst's Toolkit

Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics

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Éditeur :

Apress


Paru le : 2020-12-22



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Description
Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write code in Python, and use various Python libraries and functions for analyzing any dataset. The code is presented in Jupyter notebooks that can further be adapted and extended.


This book is divided into three parts – programming with Python, data analysis and visualization, and statistics. You'll start with an introduction to Python – the syntax, functions, conditional statements, data types, and different types of containers.  You'll then review more advanced concepts like regular expressions, handling of files, and solving mathematical problems with Python. 


The second part of the book, will cover Python libraries used for data analysis. There will be an introductory chapter covering basic concepts and terminology, and one chapter each on NumPy(the scientific computation library), Pandas (the data wrangling library) and visualization libraries like Matplotlib and Seaborn. Case studies will be included as examples to help readers understand some real-world applications of data analysis. 


The final chapters of book focus on statistics, elucidating important principles in statistics that are relevant to data science. These topics include probability, Bayes theorem, permutations and combinations, and hypothesis testing (ANOVA, Chi-squared test, z-test, and t-test), and how the Scipy library enables simplification of tedious calculations involved in statistics.




What You'll Learn
Further your programming and analytical skills with PythonSolve mathematical problems in calculus, and set theory and algebra with PythonWork with various libraries in Python to structure, analyze, and visualize dataTackle real-life case studies using PythonReview essential statistical concepts and use the Scipy library to solve problems in statistics 

Who This Book Is For


Professionals working in the field of data science interested in enhancing skills in Python, data analysis and statistics.
Pages
399 pages
Collection
n.c
Parution
2020-12-22
Marque
Apress
EAN papier
9781484263983
EAN PDF
9781484263990
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
39
Taille du fichier
8243 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
56,19 €
EAN EPUB
9781484263990
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
39
Taille du fichier
7322 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
56,19 €

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