Data Leadership Certificate
Available Fall 2020 - Start in August, Finish in May
This 12-credit hour certificate will enable students to organize, analyze and use the vast amount of data available in today’s business environment to create evidence-based solutions to their organization’s problems.
This program features practical application and hands-on learning with data obtained from a variety of industries, making it ideal for professionals who want to hone their ability to use data to improve organizational decision making and performance.
This can be a standalone program or be applied to a Master in Integrative Leadership degree.
This certificate includes four courses, all offered online:
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.
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.
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.
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.
Admissions note: Previous exposure to statistics is preferred, but not required. Individuals with a limited background in statistics are encouraged to discuss educational resources in statistical foundations that can be consulted prior to enrollment.