Advanced Predictive Modelling in R Certification Training

  • Advanced Predictive Modelling in R Certification Training

Edureka’s Advanced Predictive Modeling in R course will cover the Advanced Statistical and Analytical techniques. This course focuses on case study approach for learning various Analytical techniques and there will be a project to be done at the end of the course.

Why this course ?

Advanced Predictive Modeling in R will allow one to gain an edge over other Data analysts and present the data in a much better and insightful manner. This would help the learner to immediately implement these technique and create analysis and support decision making in the most scientific manner.

After the completion of the Advanced Predictive Modelling in R Certification Training at Edureka, you will be able to: 

1. Understand the need for Statistical Predictive Modeling

2. Work on Logistic and Linear Regression

3. Do Forecasting with Time series data and decomposition

4. Implement ARIMA models

5. Understand Survival Analysis and Neural Networks

 Course Features:

1. Instructor-led Sessions

24hrs of Online Live Instructor-led Classes. Weekend class: 8 sessions of 3 hours.

2. Real-life Case Studies

Towards the end of the training, you will be working on a live project .

3. Assignments

Each class has practical assignments which shall be finished before the next class and helps you to apply the concepts taught during the class.

4. Lifetime Access

You get lifetime access to Learning Management System (LMS) where presentations, quizzes, installation guide & class recordings are there.

5. 24 x 7 Expert Support

We have 24×7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime.

6. Certification

Towards the end of the course, you will be working on a project. Edureka certifies you as an Certified Node.js Expert based on the project.

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In Short

Learn to develop Predictive Models in R using Advanced Analytics concepts i.e. Logistic and Linear Regression, Neural network , Forecasting and Churn Analysis.

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