Data Science

Content Outline

Algebra

- Basic algebraic operations
- Equations and inequalities
- Functions and graphs

Lab

- Solving algebraic equations, graph plotting

Calculus

- Limits and continuity
- Differentiation and integration
- Applications of derivatives and integrals

- Lab 

- Solving calculus problems using Python

Probability

- Basic probability concepts
- Conditional probability and Bayes' theorem
- Probability distributions (binomial, normal)

Linear Algebra

- Vectors and matrices
- Matrix operations
- Eigenvalues and eigenvectors

Lab 

- Matrix operations using NumPy


 

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