Diploma in Basic Statistics of Data Science with special focus on Data Science for Lawyers

Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data. It helps you in gathering and displaying your results. Acquisition of new information allows you to observe and apply your findings to the experiment you are working on. Once you review statistics, you have a higher likelihood of having a larger understanding of specific subject matter.

Data science has become a field of great significance to all the sectors, and the legal sector is no exception. By virtue of data science, lawyers are able to deal with volume of data that is produced and return actionable results in real-time. This implies 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 Diploma in Basic Statistics of Data Science with special focus on Data Science for Lawyers is brought to you by Amrit Ratnabham, specialized data science/advanced analytics professional, in association with Enhelion. It provides a basic understanding of the intricacies involved in data science and the techniques in which data science can be made use of in the legal profession.

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

The curriculum has been designed to provide an overview of various statistical methods. 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 are the modules that are covered under the course-

• Module 1: Statistics Data Type
• Module 2: Measure of Central Tendency
• Module 3: Measure of Dispersion
• Module 4: Permutation Combination Probability
• Module 5: Probability Distribution
• Module 6: The Central Limit Theory
• Module 7: Introduction to R
• Module 8: Data upload and web scraping
• Module 9: Data wrangling and functions
• Module 10: Citation network
• Module 11: Dictionary analysis
• Module 12: Similarity
• Module 13: Automated content analysis through machine learning
• Module 14: 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 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.