The Data Driven Manager specialization offers essential skills for understanding and utilizing data to drive operational improvement. Throughout the program, you will learn how to classify types of data, calculate descriptive statistics, and create graphical representations using R software. This knowledge will enable you to effectively communicate data insights to diverse audiences. Additionally, you will gain expertise in probability and distributions, allowing you to make informed decisions and solve problems, ultimately increasing the likelihood of achieving desired outcomes.
The course covers data acquisition, risk assessment, and estimation, providing you with the tools to create plans to address complex business and engineering questions. You will also learn how to calculate effect size, power, and sample size to mitigate risk in decision-making processes. By distinguishing between best- and worst-case scenarios, you will develop a comprehensive understanding of point and interval estimates.
Furthermore, the specialization focuses on data-driven decision-making, empowering you to analyze data effectively in order to address business and engineering questions. You will gain proficiency in performing statistical tests to determine changes, differences, and relationships within datasets, enabling you to make informed and strategic decisions based on data-driven insights.
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The course modules cover data classification and visualization, risk assessment, planning, and effective data-driven decision-making to drive operational improvement.
Module 1: Defining, Describing, and Visualizing Data
Module 2: Data Acquisition, Risk, and Estimation
Module 3: Data Driven Decision Making
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