This course, "Introduction to Business Analytics: Communicating with Data," offered by University of Illinois at Urbana-Champaign, is a comprehensive exploration of data analytics in the business context. Through a keen eye toward the artful use of numbers in the digital space, students will learn to identify the ideal analytic tool for their specific needs, understand valid and reliable ways to collect, analyze, and visualize data, and utilize data in decision making for their agencies, organizations, or clients. The course delves into the history and growth of data, various methods of data access, and the creation and presentation of compelling data stories. With a focus on communication, students will learn to create inviting and impactful data visualizations, improving their ability to convey insights effectively.
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Get Started / More InfoThis course is divided into four modules, each focusing on different aspects of business analytics and data communication. Students will explore topics such as the history and growth of data, methods of data access, creating compelling data stories, and the art of data visualization.
This module provides an introduction to the course and explores the history of data visualization. Students will learn about today's data visualization tools, making connections with visuals, and evaluating the effectiveness of data visualization. The module also includes readings, quizzes, and assignments to reinforce learning.
Module 2 delves into understanding the growth of data, evaluating methods of data access, and planning data stories. It emphasizes the importance of working fast and thinking slow when it comes to data communication. Students will engage with readings, quizzes, and an honors assignment to apply their knowledge.
Module 3 focuses on finding patterns in data, being planful when creating data visualizations, and understanding the components of visual form. Students will also enrich content through connections and engage in a peer review assignment to develop their data storytelling skills.
The final module concentrates on creating inviting data visualizations, bringing sophistication to charts, improving chart legibility, and presenting data visualizations with impact. It concludes with a course completion and the opportunity to obtain a course certificate.
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