Mastering Python Data Analysis
- نوع فایل : کتاب
- زبان : انگلیسی
- نویسندگان : Luiz Felipe Martins, Magnus Vilhelm Persson
- چاپ و سال / کشور: 2016
- تعداد صفحه : 282
- شابک / ISBN : 1783553294
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.
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
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.
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
