Participants will develop a deep and profound understanding of Big Data Analytics and the Data Science lifecycle, and the ability to develop a wide range of machine learning models (in the areas of Regression, Classification and Clustering), optimize and evaluate model quality. Participants will also gain the experience of using Natural Language Processing (NLP) techniques, and building Product Recommendation Systems.
Target Audience
This course caters to those with some experience in Data Analytics and Data Science, have the intentions of becoming full-fledged Data Scientists. Participants should preferably have some knowledge in Python Programming and are recommended to have completed the Applied Data Analytics course.