Guide | How To Obtain an “Open Source” Masters in Data Science

A Masters in Data Science “Will Hunting Style”. More and more people are learning on-line via the flood of excellent “open source” resources of classes, ebooks, software, etc. Clare Corthell has created a website to allow anybody to take virtually the same curriculum offered for a Masters in Data Science for Free.

Will it be an official Masters? No. But an official Masters is not what is needed, it’s knowledge and experience working with the tools and techniques necessary to actually do Data Science. For some, this free curriculum will allow business-line leaders, Analysts and Programmers from other fields to fill in the education gaps and get better at their job, as well as, one step closer to being an actual Data Scientist. Read More

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Book | “Developing Analytic Talent: Becoming a Data Scientist” (By Vincent Granville)

Author and Data Scientist, Vincent Granville was rated a top 20 “big data” influencer according to Forbes and Co-founded Data Science Central. With 15 years of big data, predictive modeling, and business analytics experience, Granville is no stranger to data science.

In this one-of-a-kind guide, he provides insight into the essential data science skills, such as statistics and visualization techniques, and covers everything from analytical recipes and data science tricks to common job interview questions, sample resumes, and source code. Read More

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Edu-Video |Data Visualization Best Practices (20 Mins)

Watch Webcast (on-demand) | In an increasingly data-oriented business world, the correct use of data visualization techniques is becoming essential to business success, according to consultant William McKnight.

“Your data has a story to tell,” McKnight stated in which he provided tips on creating effective data visualizations that inform business users without confusing them. Watch Video

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Edu-Video | “Using Big Data to Understand Your Customer’s Buying Journey” (Datameer)

Webinar (On-demand) |Join Azita Martin, Chief Marketing Officer at Datameer and Matt Schumpert, Sr. Director of Solutions Engineering, as they discuss and showcase how leading edge companies are leveraging big data to:

▪Combine customer interaction data to understand customer buying journey
▪Understand high-value customer behavior beyond profile segmentation
▪Identify the most common path to customer churn
▪Perform market basket analysis to help with cross-sell and up-sell Watch Video

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EVENT | 5 Reasons “Predictive Analytics World – for Workforce” is Different – And Better! (3/31-4/1/15 ->SF)

If you follow the workforce analytics space, you may have read yet another article about Moneyball and the innovative people analytics companies leading the way around using data to optimize workforce.

The companies covered in that and other articles can (and should) showcase their work at an exciting new event called “Predictive Analytics World – for Workforce”, taking place in San Francisco on March 31-April 1, 2015. Read More

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Edu-Videos | Building Recommender Systems by Netflix Research/Eng Director Xavier Amatriain

Watch 2 Lectures on building Recommender Systems using Machine Learning given by the Director of Research/Engineering at Netflix at Carnegie Mellon University this Summer.

Its 2 parts at 2 hours each, touches on what is practical and important, and worthwhile if you have an interest in personalization and recommender algorithms. Watch Lectures

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Guide |”Which freaking database should I use”? |Infoworld.com

Andrew C. Oliver of InfoWorld.com writes, “There are several types of NoSQL databases and rational reasons to use them in different situations for different datasets. It’s much more complicated than tech industry marketing nonsense like “NoSQL = scale.”

Here is a guide to database landscape as of 2014. Read More

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