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[ COVER OF THE WEEK ]
Statistically Significant Source
[ AnalyticsWeek BYTES]
>> Big corporations suck the marrow out of the COVID-19 economy, leaving devastation behind them by awnewsfeed
>> The Bifurcation of Data Science: Making it Work by jelaniharper
>> Measuring Customer Satisfaction and Loyalty (3rd Edition)! by bobehayes
[ FEATURED COURSE]
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[ FEATURED READ]
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
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[ TIPS & TRICKS OF THE WEEK]
Grow at the speed of collaboration
A research by Cornerstone On Demand pointed out the need for better collaboration within workforce, and data analytics domain is no different. A rapidly changing and growing industry like data analytics is very difficult to catchup by isolated workforce. A good collaborative work-environment facilitate better flow of ideas, improved team dynamics, rapid learning, and increasing ability to cut through the noise. So, embrace collaborative team dynamics.
[ DATA SCIENCE Q&A]
Q:What is A/B testing?
A: * Two-sample hypothesis testing
* Randomized experiments with two variants: A and B
* A: control; B: variation
* User-experience design: identify changes to web pages that increase clicks on a banner
* Current website: control; NULL hypothesis
* New version: variation; alternative hypothesis
Source
[ VIDEO OF THE WEEK]
@chrisbishop on futurist’s lens on #JobsOfFuture #FutureofWork #JobsOfFuture #Podcast
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[ QUOTE OF THE WEEK]
It is a capital mistake to theorize before one has data. Insensibly, one begins to twist the facts to suit theories, instead of theories to
[ PODCAST OF THE WEEK]
@AmyGershkoff on building #winning #DataScience #team #FutureOfData #Podcast
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[ FACT OF THE WEEK]
2.7 Zetabytes of data exist in the digital universe today.