Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1711| Title: | Become a Python Data Analyst |
| Other Titles: | Perform exploratory data analysis and gain insight into scientific computing using Python |
| Authors: | Fuentes, Alvaro |
| Keywords: | Become a Python Data Analyst |
| Issue Date: | Aug-2018 |
| Publisher: | Packt Publishing |
| Series/Report no.: | 1310818; |
| Abstract: | Python is one of the most common and popular languages used by leading data analysts and statisticians for working with massive datasets and complex data visualizations. Become a Python Data Analyst introduces Python's most essential tools and libraries that you need to work with the data analysis process, right from preparing data to performing simple statistical analyses and creating meaningful data visualizations. |
| URI: | http://hdl.handle.net/123456789/1711 |
| ISBN: | 978-1-78953-170-1 |
| Appears in Collections: | E-Books |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Become a Python Data Analyst.pdf | 6.57 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
