Course Description-
Cluster analysis is one of the most widespread techniques used in data mining for marketing needs. The thought behind cluster analysis is to find natural groups within data in such a way that each element in the group is as similar to each other as possible.
At the same time, the groups are as dissimilar to other groups as possible. Through this course we are going to learn in detail about what is cluster analysis and its use.
After which we would learn about the various data in cluster analysis, categorization of major clustering methods- partitioning methods, hierarchical methods, density-based methods, grid-based methods, model-based methods. Next we will be learning the clustering of high-dimensional data, constraint-based clustering and Outlier analysis.
Course Objective:
In this online course, “Cluster Analysis,” you will understand how to use various cluster analysis methods to identify possible clusters in multivariate data.
In marketing applications, clusters of customer records are called market segments (and the process is called market segmentation).
The course looks at the implications of a wide array of clustering techniques currently available in SAS. It covers cluster analysis concepts and methods that can be used to combine similar objects into groups or clusters.
In particular, this training will assist those of you who have to conduct some kind of statistical analysis but do not perhaps have access to such courses, or for those of you who feel you would like extra support for self-improvement.
No prior knowledge or experience is required to take this course and as such, the course is for everyone.
What are the requirements for the Cluster Analysis – Data Mining using Cluster Analysis course?
Analytical mind
Understanding of basic data analytical techniques
Passion to learn
A computer with internet connection
What am I going to get from this Cluster Analysis – Data Mining using Cluster Analysis course?
Over 12+ lectures and 2 hours of content!
To study the various data in cluster analysis.
To learn about categorization of major clustering methods.
To learn clustering of high-dimensional data, constraint-based clustering.
What is the target audience?
Students
Research professionals
Statistical analysts
Data analysts
Data miners
Anyone who wants to method to learn statistical analysis
Curriculum
Section 1 Introduction
1 Meaning of Cluster Analysis
2 Understanding Cluster Analysis through example
3 Example on Cluster Analysis (continues)
Section 2 Types of Clustering
4 Hierarchical method of Clustering
5 Single link clustering
6 1-Linkage method,Wards method,k means clustering
7 K means and Example of K means, difference between heirarchic
8 Example of K means no. of cluster, Statistical tests, Dendogram, scree plot
9 Two step cluster analysis.,Evaluation
10 Example for Listwise and Pairwise deletion of missing values , SPSS windows of output
11 K means cluster theory, spss windows for k means, listwise and pairwise deletion
12 Two step cluster analysis
How to access:-
Step 1 - eduCBA sends the redemption coupon along with the registration link.
Step 2 - Student will register with his register email id and coupon
Step 3 - Student receive the course access and password on his/her email id
Step 4 - Login using your email id and password and start learning
Benefits of online course:
1. High Quality Content
2. Learn Anywhere Anytime & at Your Pace
3. 24X7 Customer Support
4. Complete Student Support throughout the Program
5. Online Video Training Material
6. Lifetime course access
For any query call-
Mob-+918587999769/9818826705
Sample Certificate:
