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Certificate in Understanding the Basics of Exploratory Data Analysis in R

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

Amrit Ratnabham
Amrit Ratnabham
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R is a computer language used for statistical computations, data analysis and graphical representation of data. Created in the 1990s by Ross Ihaka and Robert Gentleman, R was designed as a statistical platform for effective data handling, data cleaning, analysis, and representation.

The Certificate in Understanding the Basics of Exploratory Data Analysis in R aims to understand how the R programming language can be used in data analysis vis-à-vis dot charts, box plots, pie charts, bar plots, histogram and density plot, by means of video lectures, by Mr. Amrit Ratnabham, in association with Enhelion.

WHAT WILL SET YOU APART?

Enrolling for the certificate programme will enable you to:

  • Get a better understanding of the topics by being mentored by various practicing people
  • 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 the use of R programming in data analysis. It highlights the use of basic scatter plots, line plots, bar plots, histograms, density plots, pie charts, grid graphics, lattice graphics, jitter plots, violin plots, among other things.

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

  • Module 1: Dot chart
  • Module 2: Box plot
  • Module 3: Pie chart
  • Module 4: Bar plots
  • Module 5: Histogram and Density plot
Faculty image
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 lectures. 

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 an overall minimum of 40 percent in the Project Assignment.

Certified by image
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.