Roles in Data Analytics.

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Roles in Data Analytics AssignmentAs you look to start your program and look towards your future job prospects, it is important to have a clear picture of your career. In this assignment, you will research a single job function/role within analyticsAssignment SummaryIn this assignment, provides an overview of the role/job function, importance of the function, and its future demand. Begin by selecting a job role that interests you then, learn as much as you can about the role. Some suggested ideas for information you may highlight in your paper include:1. Number of job postings on LinkedIn for the role2. Market forecast on demand for the role3. Survey information of employer’s related to the role4. Average salary for the role (potentially compared to other professions)5. Number of mentions in academic papers, in LinkedIn, in Twitter, etc.Key skills required for role (potentially from survey data, job postings, etc.)NOTE: This is another opportunity to dive in and showcase your ability to present data, as well as showcase your data skills. Be creative in your paper. Be sure to reference the data visualization best practices resources to create powerful visuals. You should also structure your paper to tell a story, and annotate your data to highlight key points you wish to cover.FormatCite all sources in a Reference using APA style. Be sure to include some research from scholarly sourcesThis is my class information which help you to understand my courseCourse Name: Introduction to Data AnalyticsProgram Learning Outcomes (PLOs)PLO1: Demonstrate the foundational knowledge and skills critical to pursue data analytics as a profession in relation to statistics and math.PLO3: Demonstrate the knowledge of advanced tools in data analytics.PLO4: Articulate and effectively defend the significance of leadership, governance and ethics in data analytics in terms of challenges and trends in a local, national or global context.PLO7: Design and deliver presentations, reports, and recommendations that effectively translate technical results/data solutions and are coherent and persuasive to different audiences.)

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