Course Detail

Data science and machine learning are increasingly applied in business contexts to automate processes and aid in data-driven decision-making. All managers, even those not intending on applying data science themselves, can benefit from learning about data science and machine learning jargon, approaches, and how common algorithms are utilized for business insights. This course introduces managers to the technical side of data science by covering the major parts of the data mining process, including data collection, data preparation, machine learning modeling, model evaluation, and model deployment. Emphasis will be placed on modeling and evaluation stages, with examples provided using Excel and the Python programming language. Some experience with programming (in any language) is recommended, but not required.