Big Data solutions provide great insights into maximizing the yield of biopharmaceuticals, as well as optimizing the process to reduce time and cost for both process development and manufacturing. In this course, you will learn basic python coding including variables, control flows, functions, and modules including Numpy, Pandas and Matplotlib. You will apply the coding techniques for maintaining bioprocessing data integrity and quality through data cleaning, manipulation, and wrangling. Finally, you will learn to use analytical tools including multivariate analysis and linear regression models, as well as advanced tools such as machine learning and hybrid models to aid in the analysis of bioprocessing big datasets. (MEB 309)
MATH 5100
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