DATA SCIENCE ARTIFICIAL INTELLIGENCE MACHINE LEARNING USING R

Learning OutcomesBy the end of the course, students will:Understand the fundamentals of R programming.Work with data structures and visualization techniques in R.Gain knowledge of AI and machine learning concepts.Implement various machine learning algorithms for regression, classification, and clustering.Perform cloud-based ML model deployment.Apply business analytics techniques for data-driven decision making.Complete a full-fledged data science project with proper documentation.Expectations and GoalsThis course aims to:Provide a practical introduction to data science and machine learning using R.Enable students to apply theoretical knowledge to real-world data problems.Develop self-sufficiency in building AI and ML models from scratch.Facilitate hands-on learning through cloud-based model implementation.Equip students with business analytics skills to support data-driven decisions.Prepare students for industry-level projects in AI, Data Science, and Business Analytics.