4018 | On Demand | Intermediate | Scheduled
Data Visualization Certificate
Thursday, October 24, 2019 - Thursday, April 30, 2020
The Data Visualization Certificate will guide you through every major facet of one of the most important areas of your data practice — data visualization. Building from underlying technology, architecture, and analysis considerations, you will learn how to translate data into meaningful information, visualize the information, and communicate findings and lessons.
You will learn fundamental types of visualization techniques such as charts and graphs and explore a sampling of the most common reporting tools for producing meaningful visualizations. You will continue by developing an understanding of business intelligence (BI) — the overall architecture by which organizational data can be managed and understood. Additionally, you will examine the various components and technologies that make up effective BI and understand how they fit within the larger business.
Finally, you will be guided through fundamental design principles and communication concepts behind effective dashboards and reports and how to present findings from data to other business stakeholders. This certificate ensures that your data analysis skills are demonstrated effectively so the leaders of your organization understand your strategic value.
- Formulate a data story with visualizations.
- Identify key stakeholder perspectives.
- Determine organizational data needs.
- Differentiate between common BI frameworks.
- Use visualization tools to share data stories across the organization.
- Recall visualization best practices
Accounting and finance professionals, especially those interested in learning and applying data analysis techniques to help their organizations make informed, data-driven business decisions
- Communicating insights from data
- Making decisions from data
- Ways to visualize data
- Design principles for visualizing data
- Setting up business intelligence in organizations
- Components of BI platforms
- How underlying data architecture affects reporting and predictive analytics techniques