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Predictive Analytics Made Last Summer The Season Of Altcoins

Smart Data Collective

In 2018, a study from the University of Bremen in Germany discussed some of the implications of big data for the altcoin industry. The simple definition of an altcoin is any digital currency that is not Bitcoin. Data analytics has been the basis for the cryptocurrency market for years.

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Becoming A Data Scientist In 2020: Skills, Degrees, And Work Experience

Smart Data Collective

So, despite the fact that the data science field welcomes candidates with a graduate degree, a Master’s will definitely increase your chances of success. And that’s remained a consistent trend over the past two years (40% in 2018 and 43% in 2019). 27%) as their highest academic qualification. What about the Ph.D. Coding Languages.

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Big Data Leads to the Possibility of a Cashless Society

Smart Data Collective

That rose to 19% by 2018. In the last two years the trend towards contactless payments has definitely been accelerated by Covid-19. In 2016, just 7% of payments were made by a debit or credit card. By 2020, half of all payments in the UK were made by card, more than a quarter (27%) using contactless.

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Protecting Your Cryptocurrency Wllets with Machine Learning

Smart Data Collective

In 2018, researchers used data mining and machine learning to detect Ponzi schemes in Ethereum. In spite of its sometimes contentious reputation, cryptocurrency has the potential to grow your assets and is definitely worth exploring if you’d like to enhance your investment portfolio.

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A List Of Business Analysis Events For 2018

Business Analyst Learnings

If you’re ready for socializing and networking or just looking for professional development opportunities, here are some business analysis events to get you started in 2018. BBC 2018 - This event is termed, “Building Business Capability” and is scheduled to hold from November 5 to November 9 2018 in San Antonio, Texas.

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What is SSDP and Can it Truly Make Analytics Self-Serve?

ElegantJ BI

The traditional definition of data preparation describes an iterative process, typically executed by IT staff or analysts to extract and transform raw data so that the data can be used for discovery, analytics and reporting.

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What is SSDP and Can it Truly Make Analytics Self-Serve?

ElegantJ BI

The traditional definition of data preparation describes an iterative process, typically executed by IT staff or analysts to extract and transform raw data so that the data can be used for discovery, analytics and reporting.