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Cybersecurity
Case StudiesCybersecurityResources

In today’s world of never ending cybersecurity threats, companies must be more diligent than ever in protecting their data from external and internal threats. The question of dealing with cybersecurity incidents is not a matter of if but WHEN. How a company responds to a breach is vital – the

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Programming With R - How To Get A Frequency Table Of A Categorical Variable As A Data Frame
Data ScienceData Science 101Resources

Categorical data is a kind of data which has a predefined set of values. Taking “Child”, “Adult” or “Senior” instead of keeping the age of a person to be a number is one such example of using age as categorical. However, before using categorical data, one must know about various

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How To Boost Your Career In Big Data And Analytics
BI & AnalyticsinfographicsResources

The world is increasingly digital, and this means big data is here to stay. In fact, the importance of big data and data analytics is only going to continue growing in the coming years. It is a fantastic career move and it could be just the type of career you

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The Mathematics Of Machine Learning
Data ScienceMachine LearningResourcesTopics

In the last few months, I have had several people contact me about their enthusiasm for venturing into the world of data science and using Machine Learning (ML) techniques to probe statistical regularities and build impeccable data-driven products. However, I’ve observed that some actually lack the necessary mathematical intuition and

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The Internet Of Things Entrepreneur Checklist - A Guide For The Budding Iot Mogul
Data ScienceInternet of ThingsResourcesTech Trends

2017 is set to be a success for the IoT industry, as the number of connected things grows at soaring speeds. The time has come for businesses, consultancies, and entrepreneurs to tap into this opportunity, if they want to stay in the vanguard. Of the projected 8.4 billion IoT-enabled devices

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Infographic: The 4 Types Of Data Science Problems Companies Face
BI & AnalyticsData ScienceResourcesUnderstanding Big Data

There’s a part of data science that you rarely hear about: the deployment and production of data flows.  Everybody talks about how to build models, but little time is spent discussing the difficulties of actually using those models. Yet these production issues are the reason many companies fail to see

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Turning Big Data Disillusionment Into An Opportunity With Data-As-A-Service Products
BI & AnalyticsBig DataResources

Following the success of our Creating Data-as-a-Service Products at Data Natives, Elizabeth Press from D3M Labs and Dataconomy are joining forces to give your organization the opportunity to jump start your next innovative data product. Contact us to book a training specifically designed for your organization. Even though analysts publish optimistic

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How-To: Migrate A Database From On-Premise To The Cloud
Big DataContributorsResources

Migrating from an on-premise server to a cloud server will offer you a wide range of benefits. They range from a reduction to your involvement in database management to getting more advanced features from a third party whose main job is to offer the best database services. All in all,

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Getting Off To A Great Start In Your Big Data Career
Big DataContributorsResources

Big data isn’t just a career for the future, it’s a promising field today with room for incredible growth. More businesses have come to realize the numerous benefits they stand to gain through adopting big data analytics, and that has lead to a surge in hiring data scientists and those

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London Vs. Berlin - The Startup City Battle Infographic
infographicsResourcesStartups

London has reigned undisputed as Europe’s digital startup king since the first rise of the digital economy in the old continent. However, Berlin has recently established itself as London’s chief rival, even before the UK’s EU referendum. According to UK Prime Minister Theresa May, the implementation of Brexit will not occur

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