Data VisualizationĮxplore techniques to effectively communicate information about data using graphical means. You’ll learn about decision trees for structuring decision problems under uncertainty, Monte Carlo simulation for simulating decision situations with many uncertainties, and optimization for finding the best possible solution in problems with many decision variables and constraints. Gain an overview of modeling frameworks and the art and science of modeling decisions. You'll learn supervised and unsupervised machine learning techniques such as classification, clustering, and text mining. Data Science for Businessĭeeply explore the interplay between data science and business decisions. In this course, you’ll explore the fundamentals of data storage, cleansing, and retrieval in order to facilitate data usage in your organization, examining structured, relational database design, and data integrity issues. Data InfrastructureĮnsuring the validity and availability of data is critical to leveraging it within an organization. You’ll acquire probabilistic and statistical tools for understanding, analyzing, and interpreting data. This course has two goals-to provide a roadmap for understanding how organizations function and to provide basic concepts you can build on later in your career.Įxamine a framework for data-driven decision making under conditions of partial information and uncertainty.
#Mqm how to
Knowing how to analyze and improve performance in organizations and exert your influence for positive results at any level in your organization is important for long-term career success.
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Business Communication 1īegin building your foundation in effective communication in a business setting. This course introduces you to a wide range of principles to ensure you have a basic understanding of issues in accounting, finance, marketing, and strategy. Designed as a core platform that supports your career track studies, these courses provide a broad perspective on business.