Python for Data Analysis: The Ultimate Beginner's Guide To Learn Programming In Python For Data Science With Pandas And Numpy, Master Statistical Analysis, And Visualization - Couverture souple
Synopsis
Master the Python Programming Language and Data ysis With This Comprehensive Guide!
If you would like to...
Grow your business Get an amazing job Make great business decisions Get rid of the comition...
This book will teach you how to achieve all that with the help of data ysis and data science.
It might sound like a lot of work, but with proper guidance, you don't need to spend hours bent over textbooks and trying to make sense of a huge amount of information.
The goal of this book is not only to learn about data ysis but to go from this theoretical to practical knowledge and application. In other words, you'll be able to complete your own ysis, implement its methods in your business, and master the Python Programming Language!
Here's what you'll learn with this book: The importance of data ysis and why every successful business and industry are using it How to process data with tools and techniques used by data scientists The concepts behind Python programming How to use the "data munging" process How to use Python libraries such as Pandas and NumPy for data ysis The importance of data ualization How to create the right ytical algorithm for predicting the market trends How to write codes, and create programs and databases And much more!
Even if this is the first time you're hearing about Data ysis and Python, you can still successfully learn everything this book offers. The instructions are incredibly simple, the methods explained to the finest details and the guides are presented in a step-by-step way. You don't have to be a computer or math expert to develop this skill. You simply need a straightforward guide on the steps you have to take, with clear background explanations to help you understand those steps.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
