Power BI, Azure: The future of analytics; Python's outpacing R, SQL in data science
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Special report: How to win with prescriptive analytics (free PDF)

The field of analytics has evolved considerably over the years, moving from rudimentary dashboards to highly sophisticated analyses--including prescriptive analytics, which enables businesses to make better decisions, mitigate future risk, and gain a competitive advantage. This ebook offers a detailed look at what prescriptive analytics is and how companies have been putting it to work.

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The data scientist job interview: Questions to expect and questions to ask (free PDF)

Before you walk into your next interview for a data scientist job, be sure you prep with this ebook. It offers a list of questions interviewers may ask--and a list of questions you can ask them to demonstrate your knowledge and business focus.

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A special feature from ZDNet and TechRepublic

How to win with prescriptive analytics

Analytics has evolved from the basics--visualizations, historicals and dashboards--to the more complex with recommendations and predictions of outcomes. Now it's time to step it up and get prescriptive. How do you set up an analytics infrastructure that sees around corners and gives you options to avoid a head-on crash?

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