- 1
- 8 weeks long
- Swayam
- English
Course 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.
Course Circullum
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
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This Course Include:
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
- Provider:Swayam
- Certificate:Paid Certificate Available
- Language:English
- Duration:8 weeks long
- Language CC: