| Python Data Analysis For Beginners 2021: A Step-By-Step Guide to Master the Basics of Data Science And Analysis In Python, Using Pandas, Numpy And Ipy Contributor(s): Williams, Steven (Author) |
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ISBN: 1801324042 ISBN-13: 9781801324045 Publisher: Steven Williams OUR PRICE: $17.96 Product Type: Paperback Published: November 2020 * Not available - Not in print at this time * |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Computers | Data Processing - Computers | Programming Languages - Python |
| Physical Information: 0.4" H x 6" W x 9" (0.56 lbs) 186 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Master the Python Programming Language and Data Analysis With This Comprehensive Guide! If you want to learn more about Data Analysis or how to master it with the Python Programming Language, then keep reading. This book will teach you how to achieve all that with the help of data analysis and data science. 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. The goal of this book is not only to learn about data analysis but to go from this theoretical to practical knowledge and application. In other words, you'll be able to complete your own analysis, 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 analysis 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 analysis - The importance of data visualization - How to create the right analytical algorithm for predicting the market trends - How to write codes, and create programs and databases - And much more! 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. If you want to modernize your company and your skills, make the most of your data and become a competitive force on the market, |