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Data Science 101

Data Science 101

My first article on “How To Become A Data Scientist” explored the basic four different types of Data Scientist – Data Business People, Data Creatives, Data Developers and Data Researchers (as per the O’Reilly study “Analysing the Analysers”). It highlighted the need for a data science team with diverse and

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Big Data Online Course
Data Science 101

The explosion of hype around the term “big data” ushered in a rabid desire in companies big and small to get their hands on employees with a data science skill set. For evidence, you need look no further than Indeed’s graph of the number of big data-related job postings: If you

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Data ScienceData Science 101

Part of the field of predictive analytics has recently been thrust into the spotlight under a new name: Big Data. As specialist recruiters in this fast developing sector, we often fulfil an educational role with our clients – helping them define role requirements and understanding what sort of candidate would

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Data Science 101infographics

   

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BI & AnalyticsData Science 101

Our three part Business Intelligence series has looked at the key developments in BI from the 1960’s all the way to the late 1990’s. In the first edition, we focused on the way data storage changed from hierarchical database management systems (DBMS), like IBM’s IMS in the 60’s, to network

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BI & AnalyticsData Science 101

In part one of our History of BI series, we looked at the origins of BI, the way it developed over the 1960’s and 70’s, and the key technologies that emerged within these era’s. The article began by mapping the way data storage changed from hierarchical database management systems (DBMS), like

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Data Science 101Understanding Big Data

‘SQL is outdated’. ‘RDBMS can no longer meet businesses’ data management needs’. ‘New database technologies like NoSQL are the solution for today’s enterprises’. We hear statements like these alot, both inside and outside the database technologies industry. But are they accurate? Is SQL a thing of the past, and are

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BI & AnalyticsData Science 101Uncategorized

Business intelligence, or BI as it is commonly referred to, has gained considerable popularity over the past decade. Although the term was first introduced in 1865, and picked up momentum in the mid-late 1980’s, it was only up until the early 1990’s that the phrase entered public discourse. Now it

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Carla Gendry
Data ScienceData Science 101

This article was first posted by Carla Gentry here. Carla is currently owner and data scientist at Analytical Solution.She has worked in the field of data science for over 15 years, and has worked for Fortune 100 and 500 companies such as Johnson & Johnson, Hershey, Kraft, Kellogg’s and Firestone.

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Data Science 101

Coined only 6 years ago by D.J. Patil and Jeff Hammerbacher, the title “Data Scientist” has grown to prominence in recent times. Indeed, data scientists are some of most sought after people on the planet. Companies like Google, Facebook, LinkedIn and Netflix have relied heavily on the expertise of data

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