Python for Data Analysis: A Step-By-Step Guide to Master the Basics of Data Science and Analysis in Python Using Pandas, Numpy and Ipython

by Andrew Park

  Everyone talks about data today. You have probably come across the term “data” more times than you can remember in one day. Data as a concept is so wide. One thing that is true about data is that it can be used to tell a story. The story could be anything from explaining an event to predicting the future. Data is the future . Businesses, governments, organizations, criminals—everyone needs data for some reason. Entities are investing in different data approaches to help them understand their current situation, and use it to prepare for the unknown.  The world of technology as we know it is evolving towards an open-source platform where people share ideas freely. This is seen as the first step towards the decentralization of ideas and eliminating unnecessary monopolies.  Therefore, the data, tools, and techniques used in the analysis are easily available for anyone to interpret data sets and get relevant explanations. While most books focus on how to implement advanced predictive models, this book takes the time to explain the basic concepts and all the necessary steps to correctly implement Data Analysis, including Data Visualization and providing practical examples and simple coding scripts. Don't miss the opportunity to learn more about these topics. Even if you never used Data Analysis, learning it is easier than it looks, you just need the right guidance. This practical guide provides all the knowledge you need in a simple and practical way.  Regardless of your previous experience,  you will learn the steps of Data Analysis, how to implement them in Python, and the most important real-world applications.  

Kindle Edition

Published January 20, 2021

Reviews

[Gayla Gomes · Rating 4 out of 5]

data analysis

What is it? Why is it important? Learning Data Analysis through Python will help you to process and extract information from data and make meaningful conclusions from them.

[Sameer Nichite · Rating 1 out of 5]

Theory book

If you want only text then read this book and waste your time. Very few practical examples which are not helpful.