Smith Benjamin. Data Science: Advanced Guide to Learn the Realms of Data Science Effectively

Independently published, 2020. — 150 p.— ISBN B08RTQRC1C, 9798590251827.Are you interested in learning one of the sexiest jobs of the century? That’s what Harvard Business School terms data science as. Let’s face it; data scientists possess skills and qualities that are in more demand now than ever before and that’s not surprising, given the sheer amount of data the world produces. So, what is data science?It’s all data and it’s about transforming it into something that businesses can use, and data scientists do this with a great deal of skill and knowledge in math, statistics, algorithms and more. At first glance, you might dismiss data science as being far too hard to learn, but it’s like anything else – break it down into smaller parts and you’ll find it much easier to grasp.That’s what I’ve done here – broken the subject down into each of its realms, to give you a better idea of what it is all about.In this book, you will learn:What data science is
How data science relates to and differs from artificial intelligence and machine learning
Math and statistics
Descriptive and inferential analysis
What data engineering is
What data visualization is
The different types of visualization
An introduction to Seaborn
What machine learning is and how it relates to data science
Different types of machine learning
Different ML algorithms
The steps required for successful machine learning
Along the way you will find plenty of practical examples and we finish off with a series of questions you might be asked at a data science interview, along with detailed answers, and a glossary of terms.Math and Statistics in Data Science
Domain Expertise
Data Engineering
Data Visualization
Machine Learning
Data Science Interview Questions and Answers