[ COVER OF THE WEEK ]
Data Storage Source
[ AnalyticsWeek BYTES]
[ FEATURED COURSE]
Machine Learning is a first-class ticket to the most exciting careers in data analysis today. As data sources proliferate along with the computing power to process them, going straight to the data is one of the most stra… more
[ FEATURED READ]
What are the jobs of the future? How many will there be? And who will have them? As technology continues to accelerate and machines begin taking care of themselves, fewer people will be necessary. Artificial intelligence… more
[ TIPS & TRICKS OF THE WEEK]
Strong business case could save your project
Like anything in corporate culture, the project is oftentimes about the business, not the technology. With data analysis, the same type of thinking goes. It’s not always about the technicality but about the business implications. Data science project success criteria should include project management success criteria as well. This will ensure smooth adoption, easy buy-ins, room for wins and co-operating stakeholders. So, a good data scientist should also possess some qualities of a good project manager.
[ DATA SCIENCE Q&A]
Q:You are compiling a report for user content uploaded every month and notice a spike in uploads in October. In particular, a spike in picture uploads. What might you think is the cause of this, and how would you test it?
A: * Halloween pictures?
* Look at uploads in countries that dont observe Halloween as a sort of counter-factual analysis
* Compare uploads mean in October and uploads means with September: hypothesis testing
[ VIDEO OF THE WEEK]
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[ QUOTE OF THE WEEK]
With data collection, the sooner the better’ is always the best answer. Marissa Mayer
[ PODCAST OF THE WEEK]
[ FACT OF THE WEEK]
In late 2011, IDC Digital Universe published a report indicating that some 1.8 zettabytes of data will be created that year.