Fakta

Publisher	Springer Nature
Language	English
Book type	Paperback
Utgiven	2020-12-16
Edition	1
Pages	391
ISBN	9781484263983
Kategori(er)

Add to cart

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 Python
Solve mathematical problems in calculus, and set theory and algebra with Python
Work with various libraries in Python to structure, analyze, and visualize data
Tackle real-life case studies using Python
Review 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.

So far, we have reused

books.

Sweden's friendliest and environmental friendliest bookshop with the lowest priced textbooks.

This is our ambition, and we do what it takes to get there. We are here to help students to save and earn money on their textbooks while we at the same time save the environment. We were started in 2005 by two students and have since strived to constantly make it easier to buy and sell used textbooks for as many as possible.

Opening Hours