Data Analytics Microcredential

In-person courses provide a social and ethical lens to a traditionally mathematical topic by ensuring that students understand the potential socioeconomic impacts of using and manipulating data to draw conclusions.

Additionally, upon completing this microcredential you will have the ability to:

• Apply tabular and graphical methods to summarize, analyze, and visualize data in practical business situations.
• Compute, examine, and interpret statistical measures.
• Apply probabilistic and stochastic models to quantify uncertainty.
• Build and analyze predictive models.
• Use optimization techniques to identify the best alternatives to minimize or maximize an objective.
• Use data to arrive at informed conclusions and recommend decisions.

Throughout the course, there will be several homework assignments, short quizzes, in-class/online discussion and collaborations, as well as reflections after each topic to check the understanding of the material. A final capstone project will provide the proof of demonstrating the targeted competencies outlined in the learning objectives.

Quizzes can be theoretical or practical, and Excel may be required for some of the problems.

For homework assignments, students will apply the methods discussed in class to analyze data on a topic of interest and discuss their understanding of the problem. Also, students will submit a reflective summary of what they feel have been the most important points covered in the course on each topic.

For the capstone project, students will collect data on a topic of interest – preferably from their workplace – and apply the methods discussed in class to analyze the data. The capstone project will assess the overall competency gained by the participant and determine whether the participant has gained an adequate level of skill to qualify for earning this Microcredential.

The Data Analytics Microcredential is not eligible for academic credit.

Per student cost: $3,450 (group discount available)

The Data Analytics Microcredential is an introduction to Business Analytics and covers descriptive, predictive, and prescriptive analytics.

There are no prerequisites for this non-credit program.

Students can expect to spend 16 weeks towards attaining this microcredential.

Course topics and approximate length of time spent on each topic:

• Introduction to Business Analytics and basic Excel skills (1 week)
• Summarizing and visualizing data in spreadsheets (2 weeks)
• Statistical measures and probability distributions (2 weeks)
• Statistical sampling (2 weeks)
• Hypothesis testing (1 week)
• Regression analysis and forecasting techniques (2 weeks)
• Introduction to data mining (2 weeks)
• Spreadsheet modeling (1 week)
• Risk analysis (1 week)
• Optimization models (2 weeks)