Data is the foundation of our digital world. Acquiring advanced data education will prove beneficial to anyone seeking to reveal where we are and/or where we are going. Understanding data opens the door to addressing business analytics, predictive modeling, data mining, and/or business intelligence.
The article, How to build data literacy in your company explains why data expertise is essential to any organization. Whether the data are public, proprietary, purchased, or hybrid, their uses are crucial for success in today’s economy. Managers will find themselves at a distinct disadvantage if they are not prepared for understanding, handling, and managing data.
Advanced data education is not only helpful for those entering the job market, but it may also qualify graduates for better-paying jobs and/or promotions in their current careers. With this in mind, Drury University created a Graduate Certificate in Data Leadership for professionals who want to move up in their current organizations or move out to a different organization.
Individuals desiring to expand their skill sets to encompass data literacy, strategy, and management may enroll in Drury’s Data Leadership certificate regardless of the industry in which they work or wish to enter.
Those facing data-related challenges in their current roles may bring those projects to class. Students have the opportunity to learn how to manage data while creating value for their employers.
Upon completion of the certificate, graduates will possess a portfolio of professional quality reports and visualizations with the knowledge and confidence to help build and direct data-driven work teams.
After earning a graduate certificate in data leadership, students who decide to continue on for a master’s degree may apply their credits toward the creation of their own personalized Master in Integrative Leadership.
Four courses completed online over nine months will provide the expertise required to take participants to the next level in their careers.
DLST 600: Leading with Data: Case studies from various sectors (e.g., healthcare, marketing, manufacturing, retail, and nonprofit) will showcase how data products can be presented to aid in decision-making. The cases will present common statistical outputs (visualizations, descriptive statistics, and basic statistical tests) and provide students the opportunity to think about the data underpinning them. This course will include basic Excel applications and demonstrate the importance of tracing data back to its often messy sources. Ethical and legal implications of data collection, protection, and use will also be explored.
DLST 605: Statistical Data Analysis and Visualization: This course will focus on helping students understand basic statistical concepts and interpret statistical output through data visualization. Statistical methods for analyzing and presenting data will be applied to real-world data sets.
DLST 610: Advanced Data Analysis and Visualization: This course allows students to hone basic statistical skills and advance to more sophisticated analytic tools and methods, including an introduction to machine learning for both supervised and unsupervised processes. Use of diverse data sets will develop skill in forecasting and communicating probable outcomes in a variety of business and organizational contexts.
DLST 615: Data-Driven Project Management: This course will develop skills in data project organization. Students will apply concepts learned in the certificate program to the design, implementation, and presentation of a data analysis project. The project will demonstrate competencies in problem-solving, evaluating data sources, statistical analysis, data visualization, and interpreting statistical output.
For more information please contact Drury’s College of Graduate Studies.
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