Linear Algebra for Beginners: Open Doors to Great Careers 2 (Udemy.com)
Learn the core topics of Linear Algebra to open doors to Computer Science, Data Science, Actuarial Science, and more!
Created by: Richard Han
Last updated May 2018
What you will learn
- Refresh your math knowledge.
- Gain a firm foundation in Linear Algebra for furthering your career.
- Learn one of the mathematical subjects crucial for Computer Science.
- Learn one of the mathematical subjects crucial for engineering, computer science, physics, economics, computer animation, and cryptography among many others.
- Learn one of the mathematical subjects needed for Data Science.
- Learn a mathematical subject useful in becoming a Quant on Wall Street.
How it compares
Against the other 127 rated Udemy courses in Math on CourseDuck:
- Rating4.4 out of 5higher than 18% of them
- Reviews85#113 of 128 by number of reviews
- Length11.6 hoursshorter than 50% of them
- Last updatedMay 2018earlier than 88% of them
Course Description
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The sequel to the course Linear Algebra for Beginners: Open Doors to Great Careers.
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Would you like to learn a mathematics subject that is crucial for many high-demand lucrative career fields such as:
- Computer Science
- Data Science
- Actuarial Science
- Financial Mathematics
- Cryptography
- Engineering
- Computer Graphics
- Economics
If you're looking to gain a solid foundation in Linear Algebra, allowing you to study on your own schedule at a fraction of the cost it would take at a traditional university, to further your career goals, this online course is for you. If you're a working professional needing a refresher on linear algebra or a complete beginner who needs to learn Linear Algebra for the first time, this online course is for you.
Why you should take this online course: You need to refresh your knowledge of linear algebra for your career to earn a higher salary. You need to learn linear algebra because it is a required mathematical subject for your chosen career field such as computer science or electrical engineering. You intend to pursue a masters degree or PhD, and linear algebra is a required or recommended subject.
Why you should choose this instructor: I earned my PhD in Mathematics from the University of California, Riverside. I have extensive teaching experience: 6 years as a teaching assistant at University of California, Riverside, over two years as a faculty member at Western Governors University, #1 in secondary education by the National Council on Teacher Quality, and as a faculty member at Trident University International.
In this course, I cover the core concepts such as:
- Inner Product Spaces
- Linear Transformations
- Eigenvalues and Eigenvectors
- Symmetric Matrices and Orthogonal Diagonalization
- Quadratic Forms
- Singular Value Decomposition
After taking this course, you will feel CARE-FREE AND CONFIDENT. I will break it all down into bite-sized no-brainer chunks. I explain each definition and go through each example STEP BY STEP so that you understand each topic clearly. I will also be AVAILABLE TO ANSWER ANY QUESTIONS you might have on the lecture material or any other questions you are struggling with.
Practice problems are provided for you, and detailed solutions are also provided to check your understanding.
30 day full refund if not satisfied.
Grab a cup of coffee and start listening to the first lecture. I, and your peers, are here to help. We're waiting for your insights and questions! Enroll now!
Instructor Details
- 4.4 Rating
85 Reviews
Richard Han
Hi there! My name is Richard Han. I earned my PhD in Mathematics from the University of California, Riverside. I have extensive teaching experience: 6 years as a teaching assistant at University of California, Riverside, over two years as a faculty member at Western Governors University, #1 in secondary education by the National Council on Teacher Quality, and as a faculty member at Trident University International. My expertise includes calculus and linear algebra. I am an instructor on Udemy for the courses Philosophy of Language: Solidify Critical Thinking Skills and Linear Algebra for Beginners: Open Doors to Great Careers.
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Reviews
By Francesco Paolo Lezza on 9/18/2020
Maybe it would be called "Linear Algebra Workbook Step By Step"; if you are at beginner level this isn't for you, 'cause no theory is explained, just enough to solve exercises.
By Bryan Butler on 5/18/2020
This is a good course to get you introduced to linear algebra. I used it as a refresher since it has been a long time for me. There is a good bit of theory and he gives lots of examples as well as problems and solution sets. I would have preferred it to be a little more applied or at least connect some of the topics to their applications, but I understand that this course was more to learn the fundamentals.
By Keshav Pant on 8/27/2019
very easy to digest complex topics, loved that it was broken down into small chunks so I could go at my own pace.
By Rodolfo De Nadai on 1/31/2019
I'm enjoying the course... the lectures are easy to learn. It's a good reminder of what i already study in class long ago.
By Marco Bravo on 5/23/2018
Much better than te previous course. Still, I would like to see the proofs of some of the properties and facts used.
By Teddy DeWitt on 3/12/2018
This is a very clear and careful introduction or review of linear algebra. The teacher gives great explanations, good examples and pretty thoroughly worked out problems. I gave it 4.5 stars as opposed to only 5 because a few more practice problems would make this even more useful. Richard, if you would like to make additional linear algebra courses or maybe do a course on tensor calculus and differential geometry, you have at least one guaranteed buyer!
By Life-Long Data Science Learner on 2/13/2018
I am enjoying this course. The instructor, Dr. Han, has a knack for explaining complex concepts in an easy manner. I feel that Dr. Han should add even more content to this already fun course.
By Philippe Proctor on 1/4/2017
Well made series although it would be nice to inform how certain sections are valuable in practical applications and draw out more visual representations. Also found it much better to watch in 2X speed.
By Patrick Jamieson on 12/28/2016
Instructor is very knowledgeable, but at times make certain assumptions such as transforming a matrix using reduced row echelon form without providing much explanation.
By Daniel Suteja on 4/21/2016
I continue from Linear Algebra for beginners 1 to 2. I haven't completed the course. As far, this course really helps me to understand linear algebra. The concept is explained clearly and straight to the core, without to much proof exercise. I can understand the mechanics and the concept easily.
Quality Score
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Overall Score : 88 / 100








