TIM6500 Principles of Data Science Assignment Answers

TIM6500 A week Overview on Data Science

 

Students who need the best quality Assignment Help in Australia, UK and USA should get in touch with our professional writers at Assignment Task. We facilitate students with unmatchable quality, non-plagiarized and error-free assignments. Our live chat team is available 24×7 to instruct and guide you anytime. Make contact with us now if you need an expert for TIM6500 Principles of Data Science Assignment. We also offer our Homework Help for different kinds of subjects.

 

 

Assignment Details:-

  • Course Code: TIM6500
  • Course Title: Principles of Data Science
  • Referencing Styles: APA
  • Words: 1750
  • University: Northcentral University
  • Country: US

 

Task:

 

As a result of your experience in this course/program, you have been invited to provide an overview of data science to the undergraduate Technology Club at the local state university. The request, which came from one of your former professors, was to present this overview in two formats: a slide presentation that would last up to 40 minutes and an executive summary that could be available as a resource to students and faculty. The slide presentation should be visually appealing (not cluttered) with speaker notes attached to each slide. As you review this course to decide what to include, be sure to visit (and include) components from each week of the course. Including examples (perhaps from your proposed research problem) is an expectation of the slide presentation.

For the executive summary, in addition to simply summarizing the content of the course, an assessment component (i.e., why is X important?) and the interconnectivity of the components should also be presented (e.g., how does basic research design related to data management relate to inferential statistics relate to the interpretation of results?). As part of the executive summary, provide two actionable statements that could realistically emerge from your proposed study.

Each week’s components

Week 1: Introduction to Data Science

Week 2: Designing Research

Week 3: The Components of Data Management

Week 4: Data Management in action

Week 5: Descriptive Statistics

Week 6: Inferential Statistics

Week 7: Interpreting Quantitative Results Presentation.