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Data Visualization and the Art of Storytelling - Bachelor's

Курс от Illinois Tech

Начальный≈ 64.7 чАнглийский

О курсе

This course introduces the core principles of data visualization and how to use them to craft compelling narratives. Over eight modules, students will learn how to visualize data effectively, select appropriate charts, and integrate advanced techniques such as interactivity, geospatial mapping, and storytelling. By the end of the course, students will have created a portfolio of visualizations that communicate data-driven stories.

Навыки, которые вы освоите

Data Storytelling Data Visualization Software Data Ethics Histogram Geospatial Information and Technology Geospatial Mapping Box Plots Visual Storytelling Interactive Data Visualization Scatter Plots Storytelling Data Literacy Statistical Visualization Dashboard Creation Graphic and Visual Design Data Presentation Exploratory Data Analysis Design Elements And Principles Spatial Data Analysis

Программа курса

9 модулей · 192 учебных материалов

01Module 1: Fundamentals of Data Visualization33 материалов

Course Welcome

Course OverviewВидео Instructor IntroductionВидео SyllabusЧтение Meet and Greet DiscussionОбсуждение

Module 1 Introduction

Учитесь у экспертов

Bo Rodda

Преподаватель курса

Data Visualization and the Art of Storytelling - Bachelor's

О курсе

Навыки, которые вы освоите

Программа курса

Course Welcome

Module 1 Introduction

Учитесь у экспертов

Bo Rodda

Lesson 1: Introduction to Data Visualization: Why It Matters

Lesson 2: History and Key Milestones in Data Visualization

Lesson 3: The Role of Visual Perception in Understanding Data

Module 1 Summative Assessment

Module 1 Summary

Module 2 Introduction

Lesson 1: Understanding Qualitative Vs. Quantitative Data

Lesson 2: Nominal, Ordinal, Interval, and Ratio Data Explained

Lesson 3: Selecting Visualizations for Different Data Types

Module 2 Summative Assessment

Module 2 Summary

Module 3 Introduction

Lesson 1: Scatter Plots and Bubble Charts for Relationships

Lesson 2: Histograms and Box Plots for Distributions

Lesson 3: Identifying Trends, Correlations, and Outliers in Data

Module 3 Summative Assessment

Module 3 Summary

Module 4 Introduction

Lesson 1: The Role of Storytelling in Data Visualization

Lesson 2: Designing a Data-Driven Nature

Lesson 3: Creating a Visual Hierarchy to Guide Your Audience

Module 4 Summative Assessment

Module 4 Summary

Module 5 Introduction

Lesson 1: Introduction to Interactive Visualizations and Dashboards

Lesson 2: Creating Interactive Visuals with Free Tools (Tableau Public or Power BI)

Lesson 3: Incorporating Animation into Visualizations to Enhance Engagement

Module 5 Summative Assessment

Module 5 Summary

Module 6 Introduction

Lesson 1: Introduction to Geospatial Data and Visualization

Lesson 2: Using Choropleth Maps, Heatmaps, and Scatter Maps

Lesson 3: Introduction to Free Tools Like QGIS for Geospatial Visualization

Module 6 Summative Assessment

Module 6 Summary

Module 7 Introduction

Lesson 1: Best Practices for Designing Accessible Visualizations

Lesson 2: Choosing Accessible Color Schemes and Layouts

Lesson 3: Avoiding Misleading Visualizations and Ethical Storytelling

Module 7 Summative Assessment

Module 7 Summary

Module 8 Introduction

Lesson 1: Reviewing the Steps of Crafting a Data Narrative

Lesson 2: Combining Multiple Visualization Techniques

Lesson 3: Structuring a Comprehensive Data Story for a Specific Audience

Module 8 Summative Assessment

Module 8 Summary

Summative Course Assessment