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 Applied Data Analytics.
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)
Building a Recommender System
Creating Simulation Models and What-If
Natural Language Processing
Level 12, Tower A, Plaza 33, 1 Jalan Kemajuan, Section 13, 46200 Petaling Jaya, Selangor, Malaysia