 Название: Essentials of Data Science: Crash Course for Beginners
Автор: Max Anderson
Издательство:
Год: 2019
Страниц: 162
Язык: английский
Формат: epub, pdf (conv)
Размер: 10.1 MB
This mini course provides a super basic looking to data science.
This mini course provides a super basic looking to data science, what it is, and the three main components that make up data science. Data science is a very mainstream word that gets thrown around a lot, but its actual definition is quite vague. This mini course is designed to help those of you who are curious about data science develop a better and more specific understanding of the topic. There are definitely more advanced techniques within data science such as machine learning, but even these can be traced back to the three essential components that we'll cover in this book.
In this crash course for beginners, you will learn аbout:
- Statistics: we talk about the types of data you'll encounter, types of averages, variance, standard deviation, correlation, and more.
- Data visualization: we talk about why we need to visualize our data, and the different ways of doing it (1 variable graphs, 2 variable graphs and 3 variable graphs.)
- Programming: we talk about why programming helps us with data science including the ease of automation and recommended Python libraries for you to get started with data science.
This mini-course gives you a good basic insight into what the term 'data science' exactly entails, and it will triggers your curiosity to look into a career in data science!
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Essentials of Data Science: Crash Course for Beginners 
