Data Science: Simple and Effective Tips and Tricks to Learn Data ScienceКНИГИ » ПРОГРАММИНГ
Название: Data Science: Simple and Effective Tips and Tricks to Learn Data Science Автор: Benjamin Smith Издательство: Amazon.com Services LLC Год: 2020 Страниц: 119 Язык: английский Формат: pdf, azw3, epub Размер: 10.1 MB
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 sense - Tools required for data science - Technical and non-technical skills every data scientist must have - Artificial intelligence and machine learning - Using tools like Hadoop, R, Python, and SQL - How to create a visualization of the data set - Various cases and applications of data science - Step by step examples
With 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 mentioned in the book. By the end of this book, you would have gathered all the necessary information that would help you to become a data scientist. The tips will be very useful to you during programming, analyzing, or visualizing data. If you are eager and want to learn more about data science, take matters into your hands, and grab your copy today!
Introduction Chapter One: History of Data Science Chapter Two: Data Dominance and Data Revolution – The Value of Data Chapter Three: Why Data Science? Advantages and Disadvantages of Data Science Chapter Four: Predictive Analytics Chapter Five: Prerequisites for Data Science Chapter Six: Tools Required for Data Science Chapter Seven: Data Science and Artificial Intelligence Chapter Eight: Data Science and Machine Learning Chapter Nine: Hadoop Chapter Ten: R Programming Language Chapter Eleven: Building Simple Programs in R Chapter Twelve: Python for Data Science Chapter Thirteen: Building Simple Python Programs Chapter Fourteen: SQL for Data Science Chapter Fifteen: Math for Data Science Chapter Sixteen: Data Science in an Organization Chapter Seventeen: Creating Data Visualization to Communicate the Insight Chapter Nineteen: Applications of Data science Conclusion References
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Data Science: Simple and Effective Tips and Tricks to Learn Data Science 
Название: Data Science: Simple and Effective Tips and Tricks to Learn Data Science 
