This course caters to those with experience in data science and have intentions of becoming full-fledged data scientists. Participants should have knowledge in Python or R and are recommended to have completed the course in Big Data Analytics for Data Engineers.
Participants will develop a deep and profound understanding of Big Data Analytics (BDA) and the data science lifecycle, and be able to develop predictive models and recommendation engines.
Data Science Overview
Data Science Lifecycle
Data Acquisition and Cleansing
Data Analysis and Statistical Methods
Introduction to Machine Learning
Introduction to Spark and MLLib
(Linear Regression, Clustering,
Decision Tree, Random Forests)