![]() ![]() This class focuses on introducing students to analytical frameworks used for decision making to make sense of the data, starting from the basics of Excel and working up to advanced modeling techniques. The course will prepare managers who are comfortable with translating trade-offs into models, understanding the output of the software, and who are appreciative of quantitative approaches to decision making.īusiness analytics makes extensive use of data and modeling to drive decision making in organizations. For each methodology students are first exposed to the basic mechanics, and then apply the methodology to real-world business problems using Excel.Įmphasis will be not on the "how-to" of Excel, but rather on formulating problems, translating those formulations into useful models, optimizing and/or displaying the models, and interpreting results. Get FREE Excel chart templates from Hubspot. ![]() ![]() These include Linear and Integer Optimization, Decision Analysis, and Risk modeling. Learn the only Excel formulas you need as an Analyst in 2023 to get most things done. This Business Analytics class focuses on the latter: it introduces students to analytical frameworks used for decision making though Excel modeling. SQL is more than just running basic queries like SELECT, FROM, and WHERE. As a data analyst, one of your primary responsibilities is to extract data from databases, and SQL is the language used to do so. A leader in a data driven world requires the knowledge of both data-related (statistical) methods and of appropriate models to use that data. SQL (Structured Query Language) is a critical tool in data analysis. ![]()
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