Twelve Myths About Data Science.
(Online Course)
Author
Contributors
Published
Carpenteria, CA linkedin.com, 2017.
Format
Online Course
Status
Description
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Language
English
Notes
General Note
1/10/201712:00:00AM
Participants/Performers
Presenter: Ben Sullins
Description
Data science expert Ben Sullins busts 12 common myths in the field of data science, separating fact from fiction about what big data really is.
Description
In this course, Ben Sullins debunks 12 common misconceptions within the field of data science. Busy engineers, data miners, programmers, and other systems specialists who want to bolster their skills can benefit from Ben's succinct, practical insights. Separate data science fact from fiction, and learn what big data actually is, and why—contrary to what media coverage often suggests—it's not a singular thing. Ben also explains why big data can't instantly yield great insights, how to make analytics clearer, when to replace your relational databases, and more.
System Details
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
Citations
APA Citation, 7th Edition (style guide)
Sullins, B. (2017). Twelve Myths About Data Science . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Sullins, Ben. 2017. Twelve Myths About Data Science. linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Sullins, Ben. Twelve Myths About Data Science linkedin.com, 2017.
MLA Citation, 9th Edition (style guide)Sullins, Ben. Twelve Myths About Data Science linkedin.com, 2017.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.