Data Science for Engineers
Offered By: Indian Institute of Technology Madras via Swayam
Course Description
Overview
Learning Objectives :Introduce R as a programming languageIntroduce the mathematical foundations required for data scienceIntroduce the first level data science algorithmsIntroduce a data analytics problem solving frameworkIntroduce a practical capstone case studyLearning 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 learnerPREREQUISITES: 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.
Syllabus
Week 1: Course philosophy and introduction to RWeek 2: Linear algebra for data science
- Algebraic view - vectors, matrices, product of matrix & vector, rank, null space, solution of over-determined set of equations and pseudo-inverse)
- Geometric view - vectors, distance, projections, eigenvalue decomposition
Taught by
Shankar Narasimhan and Raghunathan Rengasamy
Tags
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