100% Plagiarism-Free
+1-727-416-5453

Sign In

Access your dashboard and order activity.

Forgot password?

Create Account

Register to place orders and track every step.

EN.660.322

Decision Analytics

Johns Hopkins University 3 credits Center for Leadership Education

Course Description

Decision analytics encompasses the systematic process of inspecting, cleaning, transforming, and modeling data to uncover valuable insights, draw conclusions, and facilitate effective decision-making. This course serves as an introduction to fundamental statistical and machine learning techniques, equipping students with managerial perspectives on leveraging both small and big data for problem identification, analysis, and decision-making. The curriculum covers a range of topics, including data analysis techniques, the utilization of computing tools for applying these methods, and effectively communicating findings to non-experts through numerical and graphical data presentations. Students are required to use Microsoft Excel and IBM SPSS (Statistical Package for the Social Science which will be taught in the class). The teaching approach will encompass case studies and the Socratic method to illustrate each concept effectively. By the end of this course, students will have gained essential skills in data analysis, machine learning, and decision-making, empowering them to make informed business decisions and communicate their findings in clear and concise reports.

Code
EN.660.322
Credits
3
Subject
Center for Leadership Education

Programs That Include This Course

Get expert help with EN.660.322 Decision Analytics

Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β€” written from scratch to your course requirements.

Get Help Now

Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.

Academic Resources

Latest from the Blog

Expert guides on essay writing, citation styles, study skills, and academic success.

View All Articles