1

**Linear Algebra Fundamentals for Data Science

Description

Vectors, Matrices, and Operations

Available

Learning Objectives

  • Understand the fundamentals
  • Apply practical knowledge
  • Complete hands-on exercises
2

**Linear Algebra: Advanced Concepts

Eigenvalues, Eigenvectors, and Matrix Decomposition**

Locked

Learning Objectives

  • Understand the fundamentals
  • Apply practical knowledge
  • Complete hands-on exercises
3

**Calculus for Data Science

Differentiation and Optimization**

Locked

Learning Objectives

  • Understand the fundamentals
  • Apply practical knowledge
  • Complete hands-on exercises
4

**Calculus: Integration and Probability Fundamentals

Locked

Learning Objectives

  • Understand the fundamentals
  • Apply practical knowledge
  • Complete hands-on exercises
5

**Probability and Statistics: Descriptive Statistics and Hypothesis Testing

Locked

Learning Objectives

  • Understand the fundamentals
  • Apply practical knowledge
  • Complete hands-on exercises
6

**Probability and Statistics: Bayesian Statistics and Statistical Inference

Locked

Learning Objectives

  • Understand the fundamentals
  • Apply practical knowledge
  • Complete hands-on exercises
7

**Advanced Mathematics in Data Science: Optimization and Numerical Methods

Locked

Learning Objectives

  • Understand the fundamentals
  • Apply practical knowledge
  • Complete hands-on exercises

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