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[ COVER OF THE WEEK ]
Accuracy check Source
[ AnalyticsWeek BYTES]
>> #FutureOfData With Nathaniel Lin, Chief Data Scientist, NFPA – Playcast â Data Analytics Leadership Playbook Podcast by v1shal
>> Escalating Data Governance and Regulatory Compliance Pressure: The California Consumer Privacy Act of 2018 by jelaniharper
>> Taking Lessons Learned To Improve Productivity Levels by awnewsfeed
[ FEATURED COURSE]
Deep Learning Prerequisites: The Numpy Stack in Python
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[ FEATURED READ]
Big Data: A Revolution That Will Transform How We Live, Work, and Think
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[ TIPS & TRICKS OF THE WEEK]
Data Analytics Success Starts with Empowerment
Being Data Driven is not as much of a tech challenge as it is an adoption challenge. Adoption has it’s root in cultural DNA of any organization. Great data driven organizations rungs the data driven culture into the corporate DNA. A culture of connection, interactions, sharing and collaboration is what it takes to be data driven. Its about being empowered more than its about being educated.
[ DATA SCIENCE Q&A]
Q:Compare R and Python
A: R
– Focuses on better, user friendly data analysis, statistics and graphical models
– The closer you are to statistics, data science and research, the more you might prefer R
– Statistical models can be written with only a few lines in R
– The same piece of functionality can be written in several ways in R
– Mainly used for standalone computing or analysis on individual servers
– Large number of packages, for anything!
Python
– Used by programmers that want to delve into data science
– The closer you are working in an engineering environment, the more you might prefer Python
– Coding and debugging is easier mainly because of the nice syntax
– Any piece of functionality is always written the same way in Python
– When data analysis needs to be implemented with web apps
– Good tool to implement algorithms for production use
Source
[ VIDEO OF THE WEEK]
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[ QUOTE OF THE WEEK]
Data are becoming the new raw material of business. Craig Mundie
[ PODCAST OF THE WEEK]
Want to fix #DataScience ? fix #governance by @StephenGatchell @Dell #FutureOfData #Podcast
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[ FACT OF THE WEEK]
Data production will be 44 times greater in 2020 than it was in 2009.