Lecturer, “Data Science for Economists”

The candidate will be expected to teach a class on Data Science to a maximum of 50 students who are enrolled in a graduate economics program.The candidate will provide instruction to students introducing them to Exploratory Data Analysis, Machine Learning, Big Data Processing, Sentiment Analysis, and Multi-dimensional Data Visualization–with a specific focus on problems in Applied Economics.The candidate will teach R Programming Language for enabling students to solve data analysis and basic Machine Learning algorithms including: Linear Regression, Naive-Bayes, Clustering, and Classification, and Tableau for Data Visualization. The Candidate will also teach the importance of Data Science as a discipline in multiple application domains.The candidate will address Data Privacy and Regulatory Compliance in the use of data.The candidate will help define term projects for each student and will supervise their…

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