Data Science Big Data Analytics Discussion

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Assignment:

Provide a reflection of at least 500 words (or 2 pages double spaced) of how the knowledge, skills, or theories of this course have been applied, or could be applied, in a practical manner to your current work environment. If you are not currently working, share times when you have or could observe these theories and knowledge could be applied to an employment opportunity in your field of study.

Requirements:

Provide a 500 word (or 2 pages double spaced) minimum reflection.

Use of proper APA formatting and citations. If supporting evidence from outside resources is used those must be properly cited.

Share a personal connection that identifies specific knowledge and theories from this course.

Demonstrate a connection to your current work environment. If you are not employed, demonstrate a connection to your desired work environment.

You should NOT, provide an overview of the assignments assigned in the course. The assignment asks that you reflect how the knowledge and skills obtained through meeting course objectives were applied or could be applied in the workplace. 

Topics covered in this course:

R – Logistic Regression Modle R – Logistic Regression Modle Options

R – Simple Linear Regression Modle R – Simple Linear Regression Modle Options

Apache Hive and Impala Presentation – Apache Hive and Impala Options

Linear and Logistic Regression Presentation – Linear and Logistic Regression Options

Recording – Priori Algorithm & Big Data Recording – Priori Algorithm & Big Data Options

Apriori Support Model Apriori Support Model Options

adv. Anal. Theory and Methods: Association Rules Chapter-05 – Adv. Anal. Theory and Methods: Association Rules Options

Lab#2 Solution Recording – Lab#2 Solution Options

Adv. Anal. Theory and Methods: Clustering Chapter-04 – Adv. Anal. Theory and Methods: Clustering Options

K-Mean Clusters – R Data Analytics Recording – K-Mean Clusters – R Data Analytics Options

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