Chevron Left
Volver a Essential Linear Algebra for Data Science

Opiniones y comentarios de aprendices correspondientes a Essential Linear Algebra for Data Science por parte de Universidad de Colorado en Boulder

4.7
estrellas
14 calificaciones
5 reseña

Acerca del Curso

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 designed to prepare learners to successfully complete Statistical Modeling for Data Science Application, which is part of CU Boulder's Master of Science in Data Science (MS-DS) program. Logo courtesy of Dan-Cristian Pădureț on Unsplash.com...

Principales reseñas

LH

9 de may. de 2022

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.

SR

29 de abr. de 2022

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

Filtrar por:

1 - 5 de 5 revisiones para Essential Linear Algebra for Data Science

por SIDRA R

30 de abr. de 2022

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

por ralf p

24 de abr. de 2022

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

por Calvin K L Y

28 de abr. de 2022

Great introduction to Linear Algebra for beginners!

por SR 7

24 de mar. de 2022

Very well done, conducted at just the right pace

por Leon H

10 de may. de 2022

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.