Diploma in Exploratory Data Analysis in R

R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.

Exploratory data analysis, on the other hand, uses data to discover certain patterns, to spot anomalies or to test a hypothesis. Exploratory data analysis can be conducted using the R language.

The Diploma in Exploratory Data Analysis in R is brought to you by Amrit Ratnabham, specialized data science/advanced analytics professional, in association with Enhelion. It discusses in detail, different aspects of data types and structures in R and provides an overview of how R programming is used in data analysis through dot charts, box plots, pie charts, bar plots, histogram and density plot.

According to our policy, the course fee will not be refunded. 

WHAT WILL SET YOU APART?

Enrolling for the diploma programme will enable you to:

• Get a better understanding of the topics by being mentored by various practicing lawyers having experience of more than 40 years in the profession, 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
• Enjoy the special voice over features in the presentations
• Interact with the Enhelion team on one-to-one basis at various intervals
• Get assessed on the basis of online examination as well as online submission of assignment

The curriculum has been designed to provide a basic understanding of different aspects of R programming ranging from data types in R, data wrangling, merging of datasets in R to logical statement in R. It discusses in detail, dot charts, box plots, pie charts, bar plots, histogram and density plot.

The following are the modules that are covered under the course-

• Module 1: Installation of R & R studio
• Module 2: Data types in R
• Module 3: Data Wrangling in R- 1
• Module 4: Data Wrangling in R- 2
• Module 5: Merging of datasets in R
• Module 6: Logical statement in R
• Module 7: Dot chart
• Module 8: Box plot
• Module 9: Pie chart
• Module 10: Bar plots
• Module 11: Histogram and Density plot

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 evaluating the process of learning through its courses.

The evaluation will be conducted in a two-fold manner. There will be two MCQ tests that would test the basic understanding of the topics covered in the course. Furthermore, there will be one Project Assignment, which would test the analytical understanding of the same.

The most intriguing aspect of the evaluation process is the time flexibility it affords. You can take the MCQ test and submit the project assignment at your convenience.

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

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.