
Data Science Tools
Description
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- Analyzes data using popular applications such as Excel, R, KNIME, and OpenOffice
- Covers statistical concepts including confidence intervals, normal distribution, T-Tests, linear regression, histograms, and geographic analysis
- Capstone exercises analyze data using the different software packages
More details
Other editions
Additional editions


Content
- Data Science Tools_Ch00_FM.pdf
- Data Science Tools_Ch01.pdf
- Data Science Tools_Ch02.pdf
- Data Science Tools_Ch03.pdf
- Data Science Tools_Ch04.pdf
- Data Science Tools_Ch05.pdf
- Data Science Tools_Ch06.pdf
- Data Science Tools_Ch07.pdf
- Data Science Tools_Ch08_Index.pdf
System requirements
File format: PDF
Copy-Protection: Adobe-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Install the free reader Adobe Digital Editions prior to download (see eBook Help).
- Tablet/smartphone (Android; iOS): Install the free app Adobe Digital Editions or the app PocketBook before downloading (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Adobe-DRM, a „hard” copy protection. If the necessary requirements are not met, unfortunately you will not be able to open the eBook. You will therefore need to prepare your reading hardware before downloading.
Please note: We strongly recommend that you authorise using your personal Adobe ID after installation of any reading software.
For more information, see our eBook Help page.