Duration
2 days
Overview
This course is designed to expose the participants, with the concept, techniques, issues and challenges involved in Big Data Analytics. Exposure will also be provided to the participants on big data characteristics, data analysis and management techniques, which is applied to massive datasets that enables real-time decision making in distributed environments, and scientific discovery at large scale. In particular, the participants would be able to examine the big data management techniques that make possible analysis of large volumes of data at the end of the course. At the same time, the course prepares the participants to be technically competent in analyzing and managing big data.
Objectives
The course is aimed:
- To offer the knowledge and skills to examine big data using techniques that allow analysis of large volumes of data in near real time.
Course Content
Topic
Sub-topic
Module 1: Introduction to Big Data Analytics
- What is Big Data?
- How does it differ from Regular Analytics?
- Descriptive Analytics
- Predictive Analytics
- Prescriptive Analytics
Module 2: Making sense of Data
- Big Data and Machine Learning
-Supervised and Unsupervised Learning
- Big Data Analytics Case Studies- Group exercise
- Project Sharing session
Module 3: Data visualization
- Introduction to Data Visualozation
- Environment setup- Power Bi
- Report and Dashboard
Programme scope, delivery arrangements and suitability are confirmed during enquiry.