Examine how data is used to convey and communicate results of data analysis, including findings, helpful facts, and data insights.
Business owners have been generating data for years. Yet, analyzing the data has often proven difficult. Recent innovations in technology have increased data for almost every business exponentially. This data explosion ushered in much-needed tools for analyzing data and uncovering valuable insights. The increase in data also allowed for improved data communications through data visualization.
Data-driven communication unlocks the value of everyday business data, creating a powerful asset that a business can use for competitive advantage. Therefore, it is one of the most sought-after skills in companies today. Data-driven communication enables practitioners to select and structure data for visual communication.
- Unit 1: Defining the Business Objective and Sourcing Data
- Unit 2: Data Analysis
- Unit 3: Visualization Principles and Processes
- Unit 4: Visualization Tools and Techniques
- Unit 5: Evaluating Data Visualizations
- Unit 6: Storytelling with Data
- Identify and define data gathering methodologies as well as data analysis processes, methods, and models;
- Differentiate between data-gathering methodologies as well as data analysis processes, methods, and models;
- Apply data gathering methodologies as well as data analysis processes, methods, and models;
- Identify and define basic principles and methods of graphic design and storytelling styles for communicating information;
- Differentiate between basic principles and methods of graphic design and storytelling styles for communicating information;
- Identify and define theoretical aspects of visualization design;
- Differentiate between different theoretical aspects of visualization design;
- Describe interactive visualizations and dashboards; and
- Identify and describe visual presentations of data analysis findings.