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Certificate in Understanding the Statistical Methods for Decision making

Original price was: ₹4,500.00.Current price is: ₹4,500.00.

Amrit Ratnabham
Amrit Ratnabham
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A perceptive business owner understands the significance of statistical methods for decision making. Statistical methods help in providing an improved understanding of the consumer base which in turn helps in accurately targeting the consumer behaviour. Accordingly, the business entity can design more effective marketing campaigns. This unique Certificate in Understanding the Statistical Methods for Decision Making aims to examine the intricacies involved in decision making by use of statistical methods, by means of video lectures by Mr. Amrit Ratnabham, in association with Enhelion.

 

WHAT WILL SET YOU APART?

The certificate programme will enable you to-

  • Get a better understanding of the topics by being mentored by various practicing people, who also form a part of core Enhelion team
  • Get lifetime access to the recorded lectures which are stored in Enhelion’s database for any future reference
  • Interact with the Enhelion team on one-to-one basis at various intervals
  • Get assessed on the basis of online submission of assignment

The curriculum has been designed to provide an overview of various statistical methods used in decision making- hypothesis testing, the goodness-of-fit test, one-sample t-test, two sample t-test, paired sample t-test and one way analysis of variance.

The following modules are covered under the course [Video lectures only]

  • Module 1: Hypothesis testing
  • Module 2: Chi square
  • Module 3: One sample t test
  • Module 4: Two sample t test
  • Module 5: Paired sample t test
  • Module 6: One-way analysis of variance
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Amrit Ratnabham

Mr. Amrit Ratnabham is a specialized data science/ advanced analytics professional. He has more than 5 years of corporate experience in the data science domain. He is working as an assistant manager - advanced analytics in the travel/hospitality domain. Previously he has worked with American Express & Cognizant Technology Solution as a data scientist. He holds a master’s degree in analytics from Delhi University. He has done his B. Tech in chemical engineering from the National Institute of Technology (NIT) Calicut. He is also a specialized data science trainer having more than two and a half years of experience in delivering end to end training on statistics & machine learning. In his spare time, Amrit likes to participate in various ML hackathon or solve some strategy related problem. 

 

In every walk of life, the process of evaluation takes place in one form or the other. If the evaluation process is eliminated from human life then perhaps the aim of life may be lost. Being in the same line, Enhelion is committed to evaluate the process of learning through its courses.

The enrollee will be evaluated based on a Project Assignment, which would test the analytical understanding of the topics covered in the video lecture.

The most intriguing aspect of the evaluation process is the time flexibility it affords. You can choose to undergo the evaluation process as and when you are ready for the same.

To be eligible to receive a certificate after successful completion of the course, one is required to secure a minimum of 40 percent in the Project Assignment.

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Amrit Ratnabham
Mr. Amrit Ratnabham is a specialized data science/ advanced analytics professional. He has more than 5 years of corporate experience in the data science domain. He is working as an assistant manager - advanced analytics in the travel/hospitality domain. Previously he has worked with American Express & Cognizant Technology Solution as a data scientist. He holds a master’s degree in analytics from Delhi University. He has done his B. Tech in chemical engineering from the National Institute of Technology (NIT) Calicut. He is also a specialized data science trainer having more than two and a half years of experience in delivering end to end training on statistics & machine learning. In his spare time, Amrit likes to participate in various ML hackathon or solve some strategy related problem.