dimension reduction techniques

Course Objective

This course provides a comprehensive understanding of various dimension reduction techniques. It helps participants in understanding pros & cons of techniques as per the data availability.

Learning Outcomes

After the successful completion of the program, you would be able to:

  • Understand the analysis process and techniques.
  • Exercise their hands on experience gained in data analysis.
  • Ability to compare and choose the optimal dimension reduction technique based on the use case.
  • Attain proficiency in dimension reduction techniques.

Course Description

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Improved tracking of data sources mutli-dimensionality has become problem in statistical analysis. This Advance analytics course provides an in-depth knowledge of techniques which effeective in handling mutli-dimensioality problem It provides you with niche knowledge in data analytics backed with online and offline training in theories and practical implementation in software labs.

Factor Analysis
  • Overview of Factor Analysis
  • Exploratory FA
  • Confirmatory FA
  • Performing FA in SAS
  • Interpreting the Results
Linear Discriminant Analysis
  • Introduction to LDA
  • LDA Assumptions
  • Case Study on LDA
  • Interpreting the Results
Principal Component Analysis
  • Introduction to PCA
  • Difference between PCA & EFA
  • PCA in SAS
  • Interpreting the Results

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Course Extract

  Level Beginner / Intermediate
    Methodology Online / Offline / Self Learning
    Duration 15 hrs
    Price ₹ 9999 – Offline
₹ 6999 - Online
₹ 3999 - Self Learning
  Pre-requisites None
  Batch size 10-15 students
  Classes On weekend / Sunday
  Certificate Yes
  Placement Assistance Yes

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