Certificate in University Storytelling: Data-Driven Approach
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⢠Data Collection for Storytelling: This unit will cover various methods and techniques for collecting data, including surveys, interviews, and public datasets, to be used in university storytelling.
⢠Data Cleaning and Preparation: This unit will focus on the essential steps of data cleaning and preparation to ensure the accuracy and effectiveness of the data-driven storytelling.
⢠Data Analysis and Interpretation: In this unit, students will learn how to analyze and interpret data using statistical methods and data visualization techniques to uncover insights and patterns.
⢠Storytelling with Data: This unit will cover the principles and best practices for using data to tell compelling stories, including how to choose the right data, present it effectively, and create a narrative that resonates with the audience.
⢠Data Visualization Techniques: This unit will explore various data visualization techniques and tools, including charts, graphs, and infographics, to present data in an engaging and informative way.
⢠Writing for Data-Driven Storytelling: This unit will focus on the writing skills required for data-driven storytelling, including how to craft a clear and concise narrative that highlights the key insights from the data.
⢠Ethics in Data-Driven Storytelling: This unit will cover the ethical considerations of using data to tell stories, including issues related to privacy, bias, and accuracy.
⢠Case Studies in Data-Driven Storytelling: This unit will examine real-world examples of successful data-driven storytelling in university settings to provide students with inspiration and guidance for their own projects.
⢠Final Project: In this unit, students will apply the skills and knowledge gained throughout the course to create their own data-driven story, which they will present and defend to their peers and instructors.
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