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Udacity

Data Storytelling

via Udacity

Overview

In this course, you will learn the end-to-end process for telling a story and providing a recommendation based on data. You’ll learn to create a “ghost deck” to define a problem statement, scope possible analyses, and outline a set of potential solutions, along with next steps. You’ll also learn to identify what type of data analysis tool is appropriate for specific types of visualizations. You will learn how to identify limitations and biases in data. Lastly, you’ll learn to create a polished deck that uncovers the story from within the data through data visualizations.

Syllabus

  • Introduction to Story Telling
    • In this lesson, we will introduce the topic of Story Telling and also go over the course outline, including a sneak peek at the 2 projects that are part of the course.
  • Define Problem Statement
    • In this lesson students will understand how to clearly articulate the problem statement that is driving the analysis, and why it matters.
  • Issue Trees and Building a Ghost Deck
    • In this lesson students will learn to build an analysis roadmap to stay efficient with your analysis time. An analysis roadmap consists of two key elements: (1) an issue tree and (2) a ghost deck.
  • Build a Data Story Midterm Project
    • In this mid-term project, apply the skills in structuring a data story on a Movies Metadata and practice defining your own problem statement and the analyses you plan to do.a
  • Limitations and Biases
    • The data you work with is flawed and in this lesson students will learn where bias can be introduced in the collection, processing, and analysis process and call these caveats out.
  • Visualizations and Tying it Together
    • This lesson ties everything together. It covers effective visualizations depending on the problem you are solving, and reviewing a data presentation end to end.
  • Build a Data Story Final Project
    • Building on the ghost deck, you will perform various analyses to identify the limitations and biases in data that affect the recommendations, and you will now create a final presentation.

Taught by

Malavica Sridhar

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