Duration
0.5 days
Objective
This course developed by our industry experts will help you develop core competency expected in a Big Data Analytics, skilled at effectively mining, manipulating, and analyzing Big Data, using basic and advanced analytical techniques.
A completely industry relevant Big Data Analytics training and a great blend of analytics and technology, making it quite apt for aspirants who want to develop Big Data Analytics skills and head-start in Big Data.
In this big data 0.5day Coaching, we'll introduce big data and the most widely used technology these days. Further, we'll the type of analytics and Machine Learning we use to manage or handle big data.
Pre-requisite
Not Required.
Target Audience
MINDEF developers
Syllabus
Time
Description
09:00-10:30
- Introduction to Big Data
User shall learn characteristics of Big Data.
Characteristics Big Data (5Vs – Volume, Velocity, Variety, Veracity, Valence)
- Types of Analytics
User shall learn the different types of analytics.
9.1Descriptive Analytics
9.2Diagnostic Analytics
9.3Predictive Analytics
9.4Prescriptive Analytics
9.5Demonstration of Descriptive and Diagnostic Analytics
9.6Hands-on Exercise
11:00-13:00
- Types of Machine Learning
Users shall learn 3 major types of Machine Learning
10.1Supervised Learning
10.2Unsupervised Learning
10.3Reinforced Learning
- 11. Linear Regression
User shall learn the machine learning algorithm of Linear Regression.
11.1Theory behind Linear Regression
11.2Demonstration of Linear Regression
11.3Explanation of K-Mean Model
- 12. K-Mean Clustering
User shall learn the machine learning algorithm of K-Mean Clustering.
12.1Theory behind K-Mean Clustering
12.2Demonstration of K-Mean
12.3Elbow Method
12.4PCA
12.5Explanation of K-Mean Model
Programme scope, delivery arrangements and suitability are confirmed during enquiry.