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.
Ce cours fait partie de la Spécialisation Expressway to Data Science: Essential Math
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Spécialisation Expressway to Data Science: Essential MathUniversité du Colorado à BoulderÀ propos de ce cours
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Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 2 sur 3 dans le
Niveau intermédiaire
Beginning algebra and basic function graphing.
Approx. 8Â heures pour terminer
Anglais
Sous-titres : Anglais
Ce que vous allez apprendre
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
Compétences que vous acquerrez
- Derrivatives
- Integrals
- Algebra
- Matrix Algebra
- Numerical Analysis
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 2 sur 3 dans le
Niveau intermédiaire
Beginning algebra and basic function graphing.
Approx. 8Â heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
Université du Colorado à 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.
Commencez à travailler pour obtenir votre master
Ce cours fait partie du diplôme intégralement en ligne Master of Science in Data Science de Université du Colorado à Boulder.
Si vous êtes admis(e) au programme complet, vos cours sont pris en compte dans votre apprentissage diplômant.
Programme de cours : ce que vous apprendrez dans ce cours
1Â heure pour terminer
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.
1Â heure pour terminer
13 vidéos (Total 74 min)
1Â heure pour terminer
Matrix Algebra
In this module we will learn how to solve a linear system of equations with matrix algebra.
1Â heure pour terminer
6 vidéos (Total 35 min)
2Â heures pour terminer
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.
2Â heures pour terminer
15 vidéos (Total 87 min)
1Â heure pour terminer
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.
1Â heure pour terminer
8 vidéos (Total 51 min)
Avis
- 5 stars82,50Â %
- 4 stars7,50Â %
- 3 stars7,50Â %
- 2 stars2,50Â %
Meilleurs avis pour ESSENTIAL LINEAR ALGEBRA FOR DATA SCIENCE
par SF1 août 2022
Perfect refresher course, gradually increasing in complexity and workload but James make the connections to previous content clear all the way. Highly recommended course!
par LH9 mai 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.
par TA11 août 2022
It is a very informative course, and the coach made it simple and enjoyable.
Thank you, Dr. James, for your innovative explanation of the material.
Take this course and do not hesitate.
par SR29 avr. 2022
A very succint course. It's great for a beginner and can be easily understood. :) The quizzes are easy too.
À propos du Spécialisation Expressway to Data Science: Essential Math
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.
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