Certificate in Data Science for Lawyers

The last decade has seen a major shift in the way data is produced and is accessible. Big Data has taken a centre stage in the realm of technological advancement. Owing to its potential to help achieve the desired results, it is utilized across most industries, both public and private. Like other industries, the legal system also is creating an ever-increasing amount of data. This data can be used for predictive analytics, case assessment and prediction. This is where Data Science and technologies such as Machine Learning and Big Data analytics come into the picture. They are able to deal with the volume of data that is produced and return actionable results in real-time meaning that legal professionals are able to concentrate more on tasks that require a human touch rather than the grind of fact gathering and analysis.

The Certificate in Data Science for Lawyers is brought to you by Mr. Amrit Ratnabham, in association with Enhelion. It is aimed at providing an overview of how data science can prove to be helpful to the legal profession as well as the legal professionals.

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

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
• 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 practical understanding of how data science can be used in the profession of law. It delves upon the basics of R programming. It further provides a practical understanding of how R can be used for web scraping, data wrangling, citation network analysis, dictionary analysis, similarity analysis, automated content analysis and prediction.

The following modules are covered under the course-

• Module 1: Introduction to R
• Module 2: Data upload and web scraping
• Module 3: Data wrangling and functions
• Module 4: Citation network
• Module 5: Dictionary analysis
• Module 6: Similarity
• Module 7: Automated content analysis through machine learning
• Module 8: Prediction

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 evaluation will be conducted in a two-fold manner. There will be one MCQ test which would test the basic understanding on 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 as per 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.