Data Science & Big Data Analytics

For this assignment, you will baddest a accepted analysis cardboard (published back 2016) to review. You may baddest any analysis cardboard that is accompanying to Data Science or Big Data Analytics. I acerb acclaim that you alpha your chase at Google Academic ( Once you access your chase term(s), baddest the "Since 2016" articulation on the left. Feel chargeless to accept ANY accordant paper. (I would acclaim that you baddest one that you can apprehend and abridge in a reasonable bulk of time. Don't baddest a 100 folio paper!) For APA commendation information, I accept found to be a abundant resource.  Here is a abbreviate account of what I want: 1) Your analysis should be 1/2 to 1-1/2 pages, distinct spaced. (DO NOT beat the folio length! Really. I'm not kidding.) 2) Please upload a Microsoft Word certificate to abide your review. 3) You should briefly abridge the agreeable of the commodity or cardboard and explain how it relates to Data Science and/or Big Data Analytics. 4) IMPORTANT - Accommodate your own appraisal of the article. (Did it accomplish sense? Did you apprentice annihilation from it? Do you accede or disagree with the content?)  5) Use the APA appearance for the cardboard and any references. You MUST use APA in-text references AND accommodate a account of any assets you acclimated in the references account at the end of your paper. (PLEASE do NOT overuse references. More than a brace for such a abbreviate cardboard is overkill.) NOTE: If you aren't adequate with APA citations, email me the commendation you're planning to use BEFORE you abide your paper. I'll accept a attending at it and comment.  And finally, appropriation is BAD! I WILL be blockage these affidavit for plagiarism. Just accord me your own work.  By appointment this paper, you agree: (1) that you are appointment your cardboard to be acclimated and stored as allotment of the SafeAssign™ casework in accordance with the Blackboard Privacy Policy; (2) that your academy may use your cardboard in accordance with your institution's policies; and (3) that your use of SafeAssign will be after recourse adjoin Blackboard Inc. and its affiliates.

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