# Fundamental Math for Data Science

- 13 Courses | 13h 10m 57s
- 8 Labs | 8h

**Track 1: Descriptive Statistics and Probability**

In this track of the Fundamental Math for Data Science Aspire Journey, the focus will be on summary statistics, basic rules of probability, probability distributions, and sampling distributions.

- 2 Courses | 2h 23m 15s
- 2 Labs | 2h

**Track 2: Hypothesis Testing**

In this track of the Fundamental Math for Data Science Aspire Journey, the focus will be on hypothesis testing, including one-sample and two-sample t-tests and ANOVAs.

- 3 Courses | 1h 12m 4s
- 2 Labs | 2h

**Track 3: Linear Algebra and Calculus**

In this track of the Fundamental Math for Data Science Aspire Journey, the focus will be on linear algebra computations, matrix algebra and decomposition, and calculus derivatives and integrals.

- 5 Courses | 6h 12m 30s
- 2 Labs | 2h

**Track 4: Regression**

In this track of the Fundamental Math for Data Science Aspire Journey, the focus will be on linear regression, gradient descent, and multiple linear regression.

- 3 Courses | 3h 23m 8s
- 2 Labs | 2h

**COURSES INCLUDED**

**Core Statistical Concepts: An Overview of Statistics & Sampling**

**Core Statistical Concepts: Statistics & Sampling with Python**

**COURSES INCLUDED**

**Statistical & Hypothesis Tests: Getting Started with Hypothesis Testing**

**COURSES INCLUDED**

**Matrix Decomposition: Getting Started with Matrix Decomposition**

**Matrix Decomposition: Using Eigendecomposition & Singular Value Decomposition**

**Calculus: Getting Started with Derivatives**

**Calculus: Derivatives with Linear and Quadratic Functions & Partial Derivatives**

**Calculus: Understanding Integration**

**COURSES INCLUDED**

**Regression Math: Getting Started with Linear Regression**

**Regression Math: Using Gradient Descent & Logistic Regression**

**EARN A DIGITAL BADGE WHEN YOU COMPLETE THESE TRACKS**

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