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COURSE : REGRESSION ANALYSIS
Course Overview Regression analysis is a way of mathematically sorting out which of those variables does indeed have an impact. It answers the questions: Which factors matter most? Which can we ignore? How do those factors interact with each other? And, perhaps most importantly, how certain are we about all of these factors?
In regression analysis, those factors are called variables. The factors you suspect have an impact on your dependent variable.
Training Duration Total Training Hours : 28-30 Hours
Training Duration : 1 Week
Total Training Days : 4-5 Working Days
Training Schedules Weekdays (Sunday to Thursday)Regular Sessions : 4 Hrs Per day 
WeekEnds (Friday & Saturday)Fast Track Sessions: 6-8 Hours per day 

Certifications: Weekdays (Sunday to Thursday)Regular Sessions : 4 Hrs Per day 
WeekEnds (Friday & Saturday)Fast Track Sessions: 6-8 Hours per day 
Tests Yes
Learning Aids Yes
Course Material Hard & Soft Copies of Study Material
Language of Instruction English
Instructor Helpline Yes
1. Email
2. Social Media (For Emergency requirements)
Registration Requirements 1. Passport Copy
2. Curriculum Vitae
3. Passport size photographs
4. Course Fee
Mode of Payment: Cash / Cheque / Credit Card / Bank Transfer.
Eligibility Criteria
(Who should attend this training)
This course has been designed for students in business or engineering who want to discover the fundamental principles of Lean, and also for professionals who want to leverage Lean to improve their working environment or transform their company.
Course Benefits

Explore the tools that can help you identify causes, understand processes, collect and analyze data, generate ideas, keep projects on track, and make informed decisions for all of your continuous improvement activities.


Course Contents / Outline

What is Regression Analysis?

Why do we use Regression Analysis?

What are the types of Regressions?

Linear RegressionLogistic Regression

Polynomial Regression

Stepwise Regression

Ridge Regression

Lasso Regression

ElasticNet Regression

How to select the right Regression Model?

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