Data Science and Machine Learning are the most preferred emerging technologies of the 21st century.With data being vital asset for every organization, it is becoming mandatory for every company to not only store and process data traditionally bu also analyze it using statistical and analytical methods and tools.

Machine Learning shall have its applications across various industry verticals like Banking, Healthcare, Insurance, FMCG, Retail sector and many more. Even Industrial engineering segment also finds the needs of Machine Learning and Data Science methodologies for predictive analytics.

The course 'Machine Learning with R' encompasses various concepts related to introduction to why and what of machine learning, Supervised Vs Unsupervised Machine Learning, Classification and Regression techniques, Market basket association rules algorithm and unsupervised k-means clustering.

All the techniques and methods shall be exercised with hands on real world uses cases and business scenarios providing a real time edge to the participants.

Upon completion of the course, a participant will be able to:

1. Understand the role and importance of data in an organization.

2. Explore data using statistical and analytical methods

3.Visualize large volumes of data

4.Develop predictive and descriptive models

5.Evaluate and deploy the knowledge models on new data to generate predictions.

Also after completion of course a participant can attend the online test for knowing the competencies gained during training.