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- 1. UNDERSTANDING DATA
- 1.1 Numbers & Number System
- 1.2 Rows & Columns
- 1.3 Variable based Classification
- 1.4 Structured, Unstructured & Semi Structured Data
- 1.5 Scalars, Vectors & Tensors
- 1.6 Univariate, Bivariate & Multivariate data
- 1.7 Parametric & Non-parametric data
- 1.8 Batch data vs Streaming data
- 1.9 Small, Large, and Big Data
- 1.10 Deterministic, Random & Stochastic data
- 2.DESCRIPTIVE STATISTICS
- 3.PROBABILITY THEORY
- 4.PROBABILITY DISTRIBUTIONS
- 5. INFERENTIAL STATISTICS
- 6. DESIGN OF EXPERIMENTS
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1.0 R Programming
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2.0 R Essentials