What are the key roles in data science? Here's a look at the various job positions in the data science industry and what they mean.
A data scientist cleans, massages, and organizes Big Data, according to DataCamp in the following infographic.
A database administrator, on the other hand, focuses on backup and recovery, data modeling and design, distributed computing, database systems, and data security.
Another role is statistician. This person "collects, analyzes, and interprets qualitative as well as quantitative data with statistical theories and methods," according to DataCamp.
To find out more about the different roles in data science, click or tap on the infographic.
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COMMENTARY: Data-driven business processes are not a nice-to-have but a need-to-have capability today. So, if you’re an executive, manager, or team leader, one of your toughest assignments is managing and organizing your analytics and reporting initiative.
The days of business as usual are over. Data generation costs are falling everyday. The cost of collection and storage is also falling. The speed of insight-to-action business requirement is increasing. Systems of Record, Systems of Engagement, Systems of Insight are being transformed with consumerization and digital.
With this tsunami of data and new applications, the bottleneck is clearly shifting from transaction processing to Analytics & Insight-driven “sense-and-respond” Action. This slide from IBM’s Investor Briefing summarizes the data-driven transformation underway in most businesses.
Courtesy of an article dated December 8, 2015 appearing in MarketingProfs and an article dated May 28, 2015 appearing in Ravi Kalakota's Practical Analytics
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