Posted by **ksveta6** at July 19, 2015

2015 | ISBN: 1466570350 | English | 277 pages | PDF | 3 MB

Posted by **hill0** at Aug. 21, 2017

English | 20 Mar. 2017 | ISBN: 3319461605 | 472 Pages | PDF | 5.31 MB

This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical

Posted by **hill0** at March 15, 2017

English | 14 Feb. 2017 | ISBN: 3319461605 | 472 Pages | PDF | 5.25 MB

This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides

Posted by **hill0** at March 2, 2017

English | 14 Feb. 2017 | ISBN: 3319461605 | 472 Pages | PDF | 5.23 MB

This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research,

Posted by **hill0** at Feb. 19, 2017

English | 14 Feb. 2017 | ISBN: 3319461605 | 472 Pages | PDF | 5.69 MB

This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study.

Posted by **hill0** at Feb. 1, 2017

English | 14 Feb. 2017 | ISBN: 3319461605 | 472 Pages | PDF | 8.53 MB

This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis.

Posted by **naag** at Aug. 18, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | 875 MB

Posted by **FenixN** at Jan. 27, 2017

HDRips | MP4/AVC, ~1250 kb/s | 1280x720 | Duration: 03:21:03 | English: AAC, 128 kb/s (2 ch) | 1.41 GB

Pandas Data Analysis with Python Fundamentals LiveLessons provides analysts and aspiring data scientists with a practical introduction to Python and pandas, the analytics stack that enables you to move from spreadsheet programs such as Excel into automation of your data analysis workflows.

Posted by **FenixN** at Dec. 29, 2016

HDRips | MP4/AVC, ~211 kb/s | 1280x720 | Duration: 04:04:39 | English: AAC, 128 kb/s (2 ch) | 643 MB

Learn advanced data analysis techniques to gain insights into real-world data sets using Haskell.

Posted by **house23** at Oct. 25, 2016

MP4 | AVC 462kbps | English | 1280x720 | 30fps | 6 hours | AAC stereo 64kbps | 2.26 GB

Python programmers are some of the most sought-after employees in the tech world, and Python itself is fast becoming one of the most popular programming languages. One of the best applications of Python however is data analysis; which also happens to be something that employers can't get enough of. Gaining skills in one or the other is a guaranteed way to boost your employability – but put the two together and you'll be unstoppable!