Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will teach you the most fundamental Linear Algebra that you will need for a career in Data Science without a ton of unnecessary proofs and concepts that you may never use. Consider this an expressway to Data Science with approachable methods and friendly concepts that will guide you to truly understanding the most important ideas in Linear Algebra.

This course is part of the Expressway to Data Science: Essential Math Specialization

Offered By

## About this Course

Beginning algebra and basic function graphing.

### What you will learn

Solve real-world problems using the foundational concept of matrices and explain where those problems might arise.

Recognize what a matrix represents in n-dimensional space and how transformations act in that space

Identify key properties of any system of equations, such as independence, basis, rank, and more, and what they mean for the overall system.

Demonstrate your understanding of projections in lower dimensions, while being able to carry out higher dimension projections for real-world problems

## Skills you will gain

- Derrivatives
- Integrals
- Algebra
- Matrix Algebra
- Numerical Analysis

Beginning algebra and basic function graphing.

## Offered by

### University of Colorado Boulder

CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.

## Start working towards your Master's degree

## Syllabus - What you will learn from this course

**1 hour to complete**

## Linear Systems and Gaussian Elimination

In this module we will learn what a matrix is and what it represents. We will explore how a system of linear equations can be expressed in a neat package via matrices. Lastly, we will delve into coordinate systems and provide visualizations to help you understand matrices in a more well-rounded way.

**1 hour to complete**

**1 hour to complete**

## Matrix Algebra

In this module we will learn how to solve a linear system of equations with matrix algebra.

**1 hour to complete**

**2 hours to complete**

## Properties of a Linear System

In this module we will explore concepts and properties of linear systems. This includes independence, basis, rank, row space, column space, and much more.

**2 hours to complete**

**1 hour to complete**

## Determinant and Eigens

In this module we will discuss projections and how they work. We will build on a foundation using 2-dimensional projections and explore the concept in higher dimensions over time.

**1 hour to complete**

## Reviews

- 5 stars81.25%
- 4 stars12.50%
- 3 stars6.25%

### TOP REVIEWS FROM ESSENTIAL LINEAR ALGEBRA FOR DATA SCIENCE

A very succint course. It's great for a beginner and can be easily understood. :) The quizzes are easy too.

Simple to follow. Easily explained. Good for revision as well as starting fresh

Well-explained and comprehensive. I thought it was going to be a rough course but Professor Bird is very thorough and concise in his lectures.

## About the Expressway to Data Science: Essential Math Specialization

Data Science is growing rapidly, creating opportunities for careers across a variety of fields. This specialization is designed for learners embarking on careers in Data Science. Learners are provided with a concise overview of the foundational mathematics that are critical in Data Science. Topics include algebra, calculus, linear algebra, and some pertinent numerical analysis. Expressway to Data Science is also an excellent primer for students preparing to complete CU Boulder’s Master of Science in Data Science program.

## Frequently Asked Questions

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