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.
Why a data certificate?
According to a 2019 Deloitt survey, 67% of executives are not comfortable accessing or using data from their organizations tools or resources. The Data Leadership Certificate is designed to build confidence and help today's leaders learn to use data to articulate actionable insight.
- If you are running a company or organization and know you need to use more data, but not sure where to begin.
- If you are collecting data in Excel but the volume and complexity of information has grown too much and you need something more.
- If you are using a lot of digital media but challenged to interpret the confusing online analytics.
- If you want to KNOW confidently what the sales, marketing and operations data is saying about your business.
- If you are a professional in government, public safety, or for-profit or non-profit who seeks the efficiencies and innovations that emerge from a clear data strategy.
- If you are an individual responsible for an organization's data governance, investment, or partnerships.
- If you are a leader responsible for developing sound business strategy, leading innovation, and communicating business performance to stakeholders.
What makes this program different?
This program features practical application taught by experienced instructors who have worked in a variety of organizations. Students will engage in hands-on learning with relevant data sources applicable to a variety of industries, making it ideal for professionals who want to hone their current skills or develop new skills to gather, organize, and interpret data to improve business operations.
This can be a standalone program or be applied to a Master in Integrative Leadership degree. This certificate is transcripted upon completion, allowing you to show documented evidence of your credential and graduate level credits earned in as little as a year.
For information on Drury's other leadership related certificates and programs, visit the Drury Leadership Collaborative.
This certificate includes four courses (8-week sessions), 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.