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Data Science for Beginners: Comprehensive Guide to Most Important Basics in Data Science
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Data Science for Beginners: Comprehensive Guide to Most Important Basics in Data ScienceНазвание: Data Science for Beginners: Comprehensive Guide to Most Important Basics in Data Science
Автор: Alex Campbell
Издательство: Amazon.com Services LLC
Год: 2021
Язык: английский
Формат: pdf, azw3, mobi, epub
Размер: 10.1 MB

Do you wonder what the fascination is around data these days? How do we obtain insights from this data? Do you know what a data scientist does? What is artificial intelligence and machine learning? Are these the same as data science? What does it take to become a data scientist? If you have ever wondered about these questions, you have come to the right place!

There are many resources and courses online that you can use to learn more about data science, but with so much information available, it can become overwhelming. One of the best ways to learn about data science is to understand different machine learning concepts, statistics, and artificial intelligence to help you design models to perform an analysis. This book has all the information you need to learn what data science is, and what the prerequisites are to become a data scientist. If you’re a beginner or if you already have experience in data science, this book will have something for you.

R is a programming language widely used by data scientists, and many organizations use this language to perform data analysis. Organizations use R widely since it is an object-oriented programming language, and it is used for the analysis of reporting, visual graphic representations and statistics.

Python, like R, is another programming language that has features similar to other object-oriented programming languages. It is used widely in data science and to develop models. Python can be used on different operating systems, and you can develop numerous applications using this language. This programming language is used to develop machine learning models and applications that use artificial intelligence.

Hadoop came into picture when it became difficult for companies to store large volumes of data. This is an open-source application which allows you to store and process big data. You can use a distributed computing framework to analyze the data. It is best to use this application if you want to store data without having to process it. You can store as much data as needed before you decide which variable you need to use.

In this book, you will:

Learn what data science is about.
Discover the difference between data science and business intelligence.
Explore the tools required for data science.
Find out the technical and non-technical skills every data scientist must have.
Figure out how to create a visualization of the data set with clear and easy examples.
Get advice on developing a Predictive Model Using R.
Uncover detailed applications of data science.
And much more!

The book has been structured with easy-to-understand sections to help you learn everything you need to know about data science. In this book you will learn about the prerequisites of data science and the skills you need to become a data scientist. So, what are you waiting for? Grab your copy of this comprehensive guide now!

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