Author Description

Have you ever wondered what the fuss about data is all about? What do data scientists do? What is machine learning and artificial intelligence exactly? Are they the same? Do you love working with data? If your answer is yes, then you are in the right place.Data science helps make predictions and provides insights by using data analysis, statistics, and machine learning. A data scientist is an individual who can perform the duties of a data analyst, statistician, and a machine learning engineer. There are four main pillars of data science: domain expertise, mathematics, communication, and computer science. Once you get the hang of these four components, you will be closer to enhancing your overall understanding of data science. Are you wondering how you can do this? Well, you don't have to look any further because this book has all the answers you need.For learning data science, you will find numerous resources online, and hence it can be very overwhelming. A good way to learn data science and technology related to it regarding machine learning and artificial intelligence is to make a structure on how to go about it and learn the topics related to data science one by one. This book will provide you with all the information you need about data science and has a few tips and tricks that would make your learning easier. Throughout this book, you will learn more about: What is data science?Why learning data science in the 21st century makes senseTools required for data scienceTechnical and non-technical skills every data scientist must haveArtificial intelligence and machine learningUsing tools like Hadoop, R, Python, and SQLHow to create a visualization of the data setVarious cases and applications of data scienceStep by step examplesWith 19 chapters and various subsections, this book will help anyone who wants to learn about data science. You will find tips for learning pre-requisites and also tips regarding the use of various tools and programming languages that are m