Linear Algebra for Data Science in Python [Video]

By 365 Careers Ltd.
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About this video

Vectorizing your code is an essential skill to make your calculations faster and take advantage of the capabilities of modern machine and deep learning packages. This course will get you up and running with linear algebra fundamentals for data science in Python.

In this course, you will learn about scalars, vectors, and matrices and the geometrical meaning of these objects. You will also learn how you should use linear algebra in your Python code. In addition to this, you’ll be able to perform operations such as addition, subtraction and dot product. As you cover further sections, you’ll focus on the different syntactical errors you can encounter while vectorizing your code.

By the end of this course, you will have gained the skills you need to use linear algebra confidently in your data science projects.

All code and supporting files for this course are available at -

Publication date:
July 2019
0 hours 56 minutes

About the Author

  • 365 Careers Ltd.

    365 Careers The company's courses have been taken by more than 203,000 students in 204 countries. People working at world-class firms such as Apple, PayPal, and Citibank have completed 365 Careers trainings. By choosing 365 Careers, we make sure you will learn from proven experts who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time. If you want to become a business executive, an entrepreneur, a business intelligence analyst, a data analyst, or a data scientist, 365 Careers' courses are the perfect place to start.

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