Data science is an interdisciplinary field that allows you to turn raw data into understanding, insight, and knowledge by using scientific methods, processes, and algorithms. The Data Science course with R Language educates you to grasp the concepts of R programming and would help you to acquire the knowledge of Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes. The objective of “Data Science course with R” is to help you grasp the most significant tools in R that will allow you to do data science. This course will also help you in learning the essential aspects of Artificial Intelligence and you would able to direct your machine based-on real-life scenarios using Machine Learning Algorithms. After course completion, you will be proficient in tools of Data Science with R.
Module 1: Introduction to Data Science
Module 2: Statistical Inference
Module 3: Data Analysis, Extraction, and Exploration
Module 4: Machine Learning and Supervised Learning Techniques
Module 5: Decision Trees, Random Forest, and Naive Bayes
Module 6: Clustering and its types.
Module 7: Recommender Engines
Module 8: Text Mining Algorithms
Module 9: Time Series
Module 10: Reinforced Learning and Artificial Neural Networks