Design Strategies for Maximizing Total Data Quality

Por: Coursera . en: , ,

  • Introduction and Maximizing Validity and Data Origin Quality
    • Welcome to Design Strategies for Maximizing Total Data Quality! This is the third and final course in the Total Data Quality Specialization. After viewing a short welcome video, reviewing the course syllabus, and taking a course pre-survey, we’ll begin the course by exploring the topic of validity. You’ll learn how to maximize validity for both designed and gathered data through a series of video lectures, readings, and case studies. We’ll conclude our exploration of validity with a quiz on design strategies for maximizing validity. The second half of Week 1 will focus on data origin. You’ll learn how to maximize data origin quality for designed and gathered data through a series of lectures, examples, and case studies. Week 1 will conclude with a quiz on design strategies for maximizing data origin quality.
  • Maximizing Processing and Data Access Quality
    • In Week 2, we’ll learn how to optimize data processing quality. We’ll begin the week with video lectures on how to maximize processing quality for designed and gathered data, along with an example for each type of data. We’ll conclude our discussion of processing with a quiz on design strategies for maximizing processing quality. Then, we’ll learn how to maximize data access quality for designed and gathered data while exploring each type of data through video examples and readings. Week 2 will conclude with a short quiz on strategies for maximizing access quality.
  • Maximizing Data Source Quality and Minimizing Data Missingness
    • This week, we’ll learn how to optimize the quality of a data source and minimize missing data rates. First, we’ll explore how to maximize data source quality for designed and gathered data. We’ll mix in a series of examples, readings, and case studies throughout our data source unit and conclude this unit with a quiz on strategies for maximizing source quality. Then, we’ll move on to a discussion of data missingness. We’ll learn how to minimize data missingness for designed and gathered data through a series of video lectures and examples. Week 3 will conclude with a short quiz on strategies for minimizing data missingness.
  • Maximizing the Quality of Data Analysis
    • Welcome to the final week of Design Strategies for Maximizing Total Data Quality and the Total Data Quality specialization! We’ll wrap up the series by learning how to optimize data analysis quality for both designed and gathered data. This exploration will include a series of video lectures and case studies. After you take a quiz on how to maximize data analysis quality, you’ll work on a peer review assignment that asks you to review a study of Wordle performance. The week will conclude with a specialization recap video and a course and specialization post-survey.

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