Название: Teach Yourself Data Analytics in 30 Days: Learn to use Python and Jupyter Notebooks by exploring fun, real-world data projectsАвтор: David Clinton
Издательство: Leanpub
Год: 2021-04-28
Страниц: 133
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.2 MB
Would you like to learn how to extract useful insights from all the data around you without having to take years' worth of courses? College data science programs teach valuable skills, but sometimes all you need is access to some quick and direct tools. Welcome to Teach Yourself Data Analytics in 30 Days.
The book's curriculum is organized by eight data "stories." The stories are interesting on their own. But there's no doubt what they're really all about is Python data analytics. Each story/chapter contains all the information you would need to go out and get the raw data and then write the Python analytics code necessary to solve a specific problem. Or, in other words, each chapter teaches new Python skills.
This curriculum assumes you’ve got at least a very basic understanding of programming in general and Python programming in particular. If you feel you’re not quite there yet, catching up shouldn’t take you too long.
If you're motivated and have a bit of available time, there's no reason you can't use those stories to teach yourself data analytics in 30 days. You'll find everything you need to build your own basic data analytics skills, including:
* Getting Python up and running on Jupyter Notebooks (or JupyterLab, if you prefer)
* Finding and cleaning data sources
* Plotting your data
* Understanding results through domain knowledge and tools like regression lines
* Python functions
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