Noah Joss had received a full-time job offer from Genesis Consulting, following his summer internship there. While a full-time offer had been his goal, Joss started to think critically about the compensation package and the working hours expected of him. Worried about making the wrong decision, Joss worked with his study group to come up with a compensation survey for those working in consulting that could be used as a reference point when deciding .....more

Teaching note for product W38323.

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Data cleaning, data preparation, and model development are the crucial steps in data analytics. The first two steps aim to improve data quality for higher accuracy, improved productivity, and better efficiency in modelling and obtaining results. The last step, model development, seeks to improve accuracy of prediction, especially in predictive modelling. In this technical note, we use a sample to illustrate how to work with a multivariate dataset .....more

Data preparation is a necessary pre-processing step in analytics. It aims to clean the data from various resources and improve its quality for better productivity. This process includes many tasks such as fusion, cleaning, and augmentation of data. This teaching note will focus on illustrating data cleaning using the programming language Python, with all codes completed in Google Laboratory. Different solutions using the programming languages R and .....more

Instructor spreadsheet for product 8B16E038.

Student spreadsheet for product 9B16E038.

Teaching note for product 9B16E038.