LEARNING OUTCOMES: Apply data science techniques to data management challenges Obtain, clean/process and transform data Deploy machine learning algorithms to mine your data Use appropriate models of analysis, assess the quality of input, derive insight from results, and investigate potential issues Interpret analytical models to make better business decisions Formulate and use appropriate models of data analysis to solve hidden solutions to business-related challenges Understand the challenges associated with scaling big data algorithms Convert datasets to models through predictive analytics Think Critically and Creatively, conceptualizing Real-World Problems from different perspectives
MODULES COVERED: Big Data Concepts Database Concepts Microsoft Excel for Data Science Statistics for Data Science Statistical Methods in AI by using MS Excel Statistical Methods in AI by using R Tool for Insurance and Banking Analytics Development of Algorithms by Freeware Tools Capstone Project
