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ABOUT THE COURSE : Learning Objectives : Introduce R as a programming language Introduce the mathematical foundations required for data science Introduce the first level data science algorithms Introduce a data analytics problem solving framework Introduce a practical capstone case study Learning Outcomes: Describe a flow process for data science problems (Remembering) Classify data science problems into standard typology (Comprehension) Develop R codes for data science solutions (Application) Correlate results to the solution approach followed (Analysis) Assess the solution approach (Evaluation) Construct use cases to validate approach and identify modifications required (Creating) INTENDED AUDIENCE: Any interested learner PREREQUISITES: 10 hrs of pre-course material will be provided, learners need to practise this to be ready to take the course. INDUSTRY SUPPORT: HONEYWELL, ABB, FORD, GYAN DATA PVT. LTD.
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