Applied Econometrics

In the course "Applied Econometrics," I learned a range of methods for causal analysis in order to build an understanding of the variables driving business processes and outcomes. This course was a valuable addition to my analytical skillset, as it helped me to understand how to adapt statistical methods such as linear and logistic regression for different situations.

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One of the main objectives of the course was to master software and programming skills in order to efficiently implement a causal analysis of business data. We covered four major components in the course: regression studies, experiments and quasi-experiments, panel data, and time series data.

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Throughout the course, I gained an understanding of the common examples of causal analysis in business analytics and how to identify opportunities and appropriate strategies for causal analysis when solving unstructured business problems. I also learned how to communicate accurately and effectively about the technical and business implications of causal analyses.

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By the end of the course, I had developed a strong foundation in econometric analysis and was well-equipped to apply these techniques to real-world business problems. I highly recommend this course to anyone interested in gaining a deeper understanding of causal analysis and how it can be used to inform business decision-making.