Ace Linear Algebra in 10 Hours (The Complete Course) from Udemy

The course includes videos, notes from whiteboard during lectures, and practice problems (with solutions. ). I also show every single step in examples and proofs. The course is organized into the following topics:

Vectors
Basic Matrix Algebra
Linear Systems
Subspaces, Linear Spans, and Solution Spaces
Linear Dependence, Basis, and Dimension
Projections and Cross Products
Lines and Planes
Intersections and Distances
Square Matrices
Determinants

I share all my solving-problem techniques using examples. I show a variety of math issue you may encounter in class and make sure you can solve any problem by yourself.

Notes: In each section, you will find my notes as downloadable resource that I wrote during lectures. So you can review the notes even when you don't have internet access (but I encourage you to take your own notes while taking the course. ).

Assignments: After you watch me doing some examples, now it's your turn to solve the problems. Be honest and do the practice problems before you check the solutions. If you pass, great. If not, you can review the videos and notes again before moving on to the next section.

#2: Downloadable lecture notes so you can review the lectures without having a device to watch/listen.

#3: Ten problem sets at the end of each section (with solutions. ) for you to do more practice.

#4: Step-by-step guide to help you solve problems.

See you inside the course.

- Gina :)

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Teaches foundational-level linear algebra, which is a cornerstone of mathematics and valuable for understanding the underlying principles of machine learning, data science, computer science, and engineering

Provides a structured and clear approach to learning linear algebra, breaking down concepts into digestible chunks and offering a variety of practice problems to reinforce understanding

Includes downloadable notes for offline review, allowing learners to reinforce their understanding and prepare for exams or projects

Course content is presented in a clear and concise manner, with step-by-step explanations and visual aids

Covers a comprehensive range of topics in linear algebra, from the fundamentals to more advanced concepts

May require additional resources or support for learners with limited background in linear algebra or mathematics

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Ace Linear Algebra in 10 Hours (The Complete Course) with these activities:

Read 'Linear Algebra and Its Applications' by Gilbert Strang

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This book provides a comprehensive overview of linear algebra and its applications.

View Linear Algebra for Everyone on Amazon

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Read the book thoroughly.
Take notes on the important concepts.
Work through the practice problems.

Brush up on matrix algebra

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Reviewing matrix algebra will make the course material much more understandable.

Browse courses on Matrix Algebra

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Read through your old notes or textbook.
Do some practice problems.
Take a practice quiz.

Create a study guide

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Creating a study guide will help you organize the material and focus your studies.

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Gather your notes, handouts, and other course materials.
Organize the material into sections.
Create summaries of the key concepts.
Add practice problems and solutions.

Four other activities

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Solve practice problems

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Solving practice problems will reinforce the concepts you learn in class.

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Find a problem set online or in a textbook.
Work through the problems.
Check your answers.

Form a study group

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Studying with other students to improve your understanding of the material and makes the experience more enjoyable.

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Find a group of students who are taking the same course.
Meet regularly to discuss the material.
Work together on problem sets and projects.

Create a concept map

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Creating a concept map will help you visualize the relationships between the different concepts in the course.

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Identify the main concepts in the course.
Create a diagram that shows the relationships between the concepts.
Add details to the diagram as you learn more about the course material.

Contribute to an open-source linear algebra project

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This is a great way to apply your skills and learn from others.

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Find an open-source project that you are interested in contributing to.
Contact the project leader.
Start contributing to the project.

Career center

Learners who complete Ace Linear Algebra in 10 Hours (The Complete Course) will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use mathematical and statistical techniques to extract insights from data. This course may be useful for aspiring Data Scientists, as it provides a strong foundation in linear algebra, a subject that is heavily used in this field. Linear algebra is used to develop models that can be used to analyze data, identify patterns, and make predictions.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers use mathematical and statistical techniques to develop and implement machine learning algorithms. This course may be useful for aspiring Machine Learning Engineers, as it provides a strong foundation in linear algebra, a subject that is heavily used in this field. Linear algebra is used to develop models that can be used to analyze data, identify patterns, and make predictions.

See salaries and explore the career path for Machine Learning Engineer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical techniques to assess risk and make investment decisions. This course may be useful for aspiring Quantitative Analysts, as it provides a strong foundation in linear algebra, a subject that is heavily used in this field. Linear algebra is used to develop models that can be used to analyze financial data, identify trends, and make predictions.

See salaries and explore the career path for Quantitative Analyst

Actuary

Actuaries use mathematical and statistical techniques to assess risk and make financial decisions. This course may be useful for aspiring Actuaries, as it provides a strong foundation in linear algebra, a subject that is heavily used in this field. Linear algebra is used to develop models that can be used to analyze financial data, identify trends, and make predictions.

See salaries and explore the career path for Actuary

Artificial Intelligence Engineer

Artificial Intelligence Engineers use mathematical and statistical techniques to develop and implement AI systems. This course may be useful for aspiring Artificial Intelligence Engineers, as it provides a strong foundation in linear algebra, a subject that is heavily used in this field. Linear algebra is used to develop models that can be used to analyze data, identify patterns, and make predictions.

See salaries and explore the career path for Artificial Intelligence Engineer

Statistician

Statisticians use mathematical and statistical techniques to collect, analyze, and interpret data. This course may be useful for aspiring Statisticians, as it provides a strong foundation in linear algebra, a subject that is heavily used in this field. Linear algebra is used to develop models that can be used to analyze data, identify patterns, and make predictions.

See salaries and explore the career path for Statistician

Financial Analyst

Financial Analysts use mathematical and financial techniques to analyze and make investment recommendations. This course may be useful for aspiring Financial Analysts, as it provides a strong foundation in linear algebra, a subject that is heavily used in this field. Linear algebra is used to develop models that can be used to analyze financial data, identify trends, and make predictions.

See salaries and explore the career path for Financial Analyst

Risk Analyst

Risk Analysts use mathematical and statistical techniques to assess risk and make decisions. This course may be useful for aspiring Risk Analysts, as it provides a strong foundation in linear algebra, a subject that is heavily used in this field. Linear algebra is used to develop models that can be used to analyze risk data, identify trends, and make predictions.

See salaries and explore the career path for Risk Analyst

Data Engineer

Data Engineers use mathematical and statistical techniques to design, develop, and implement data systems. This course may be useful for aspiring Data Engineers, as it provides a strong foundation in linear algebra, a subject that is heavily used in this field. Linear algebra is used to develop models that can be used to analyze data, identify patterns, and make predictions.

See salaries and explore the career path for Data Engineer

Investment Analyst

Investment Analysts use mathematical and financial techniques to analyze and make investment recommendations. This course may be useful for aspiring Investment Analysts, as it provides a strong foundation in linear algebra, a subject that is heavily used in this field. Linear algebra is used to develop models that can be used to analyze financial data, identify trends, and make predictions.

See salaries and explore the career path for Investment Analyst

Business Analyst

Business Analysts use mathematical and statistical techniques to analyze business data and make recommendations. This course may be useful for aspiring Business Analysts, as it provides a strong foundation in linear algebra, a subject that is heavily used in this field. Linear algebra is used to develop models that can be used to analyze data, identify trends, and make predictions.

See salaries and explore the career path for Business Analyst

Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to help organizations improve their efficiency and productivity. This course may be useful for aspiring Operations Research Analysts, as it provides a strong foundation in linear algebra, a subject that is heavily used in this field. Linear algebra is used to develop models that can be used to optimize processes, allocate resources, and make decisions.

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Economist

Economists use mathematical and statistical techniques to analyze economic data and make predictions. This course may be useful for aspiring Economists, as it provides a strong foundation in linear algebra, a subject that is heavily used in this field. Linear algebra is used to develop models that can be used to analyze economic data, identify trends, and make predictions.

See salaries and explore the career path for Economist

Software Engineer

Software Engineers use mathematical and logical techniques to design, develop, and implement software systems. This course may be useful for aspiring Software Engineers, as it provides a strong foundation in linear algebra, a subject that is heavily used in this field. Linear algebra is used to develop algorithms and data structures that are used in software systems.

See salaries and explore the career path for Software Engineer

Computer Scientist

Computer Scientists use mathematical and logical techniques to design, develop, and implement computer systems. This course may be useful for aspiring Computer Scientists, as it provides a strong foundation in linear algebra, a subject that is heavily used in this field. Linear algebra is used to develop algorithms and data structures that are used in computer systems.

See salaries and explore the career path for Computer Scientist