Duration
4 days
COURSE OBJECTIVE
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.
TARGET GROUP
This course caters to those with experience in Data Science and have intentions of becoming full-fledged Data Scientists. Participants should preferably have some knowledge in Python or R and are recommended to have completed the Applied Data Analytics course.
COURSE OUTLINE
- Data Science Overview
- Data Science Lifecycle
- Data Acquisition & Cleansing
- Data Analysis & Statistical Methods
- Introduction to Machine Learning
- Introduction to Spark & MLlib
- Predictive Modeling
- (Linear Regression, Clustering, Decision Tree, Random Forests)
- Building a Recommender System
- Model Evaluation
- Creating Simulation Model & What-If
- Natural Language Processing & Sentiment Analysis
- Geo-Clustering Analysis
- Graph Analysis
Programme scope, delivery arrangements and suitability are confirmed during enquiry.