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Take Your SQL Skills To The Next Level With These Popular SQL Books

datapine

The new version includes details on the latest SQL features such as techniques for wrangling data, as well as two new chapters, one dedicated to setting up your own system, and another for using PostgreSQL and JSON. This piece, published in 2012, offers a step-to-step guide on everything related to SQL.

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Convergent Evolution

Peter James Thomas

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

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Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

This interdisciplinary field of scientific methods, processes, and systems helps people extract knowledge or insights from data in a host of forms, either structured or unstructured, similar to data mining. It’s also one of the best books on data science around.

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Using Geographic Data To Create A Perfect Google Maps Radius

Smart Data Collective

One new feature is the ability to create a radius, which wouldn’t be possible without the highly refined data mining and analytics features embedded in the core of the Google Maps algorithm. The Emerging Role of Big Data with Google Analytics. The highly intuitive data interface provided by Google Maps can be very helpful.

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Mobile Marketing 2015: Rethink Customer Acquisition, Intent Targeting

Occam's Razor

I'm sure you are impressed at the data mining and intent targeting efforts of TripIt. That would have been an easy thing to do based on data mining ( lame data mining!). When I got this email, as a Marketer and Data Mining connoisseur, I had to smile. Let me explain. It was just so smart.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

Estimating Uncertainty for Massive Data Streams. Technical report, Google, 2012. [13] Improving the sensitivity of online controlled experiments by utilizing pre-experiment data. Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, WSDM ’13, page 123–132, New York, 2013. [28]

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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

For the presidential run of 2012, the news network showed the graph below where we see a pie chart displaying a total of 193% which is clearly wrong and misleading as the total should be 100%. In 2012, the global mean temperature was measured at 58.2 It demonstrates the change in air temperature (Celsius) from 1998 to 2012.