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The Advanced Predictive Modelling in R Certification Training course provides an overview of the predictive modeling techniques and their core principles. The course covers the models used in solving predictive analytics problems such as auto-regressive integrated moving average, multiple linear regression, decision trees and logistic regression.

The Machine Learning Certification Training using Python course provides an overview of the concepts of Machine Learning. The delegates will gain a thorough knowledge of Machine Learning and its mechanism.

Decision Tree Modelling is a type of supervised learning algorithm and a popular Analytic technique. It can be implemented in various business fields like automobile, telecom or money lending business.

The Analytics for Retail Banks provides in-depth knowledge about the analytics lifecycle, data infrastructure, customer lifecycle and digital trends. The delegates will understand about the analytics applications at a retail bank.

Statistics Essentials for Analytics training provides complete knowledge to delegates about the Statistical Techniques. The delegates will learn how every technique is employed on a real-world data set to analyse and conclude insights.

Python is one of the open-source, flexible and premier languages that has powerful libraries for data analysis and data manipulation.During training, the delegates will learn basic to advanced concepts of Python including writing Python scripts, file operations and much more.

Data Analytics with R Certification Training is designed to provide essential knowledge and skills for becoming a successful analytics professional.The course includes data manipulation, exploratory data analysis, data virtualisation, data mining, linear and logistic regression and many more.

 

Data Science Certification Course using R is a two-day course which is designed to provide delegates with the knowledge and skills required to perform various data analytics methods and techniques using R.