Introduction to Linear Algebra and Python
This course introduces the fundamentals of linear algebra and Python programming, providing a foundation for further exploration of data science. It is ideal for those looking to gain an understanding of the basics of data science and apply them to real-world problems. ▼
ADVERTISEMENT
Course Feature
Cost:
Free
Provider:
Coursera
Certificate:
Paid Certification
Language:
English
Start Date:
29th May, 2023
Course Overview
❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [March 06th, 2023]
This course is the first of a series that is designed for beginners who want to learn how to apply basic data science concepts to real-world problems. You might be a student who is considering pursuing a career in data science and wanting to learn more, or you might be a business professional who wants to apply some data science principles to your work. Or, you might simply be a curious, lifelong learner intrigued by the powerful tools that data science and math provides. Regardless of your motivation, we'll provide you with the support and information you need to get started.
In this course, we'll cover the fundamentals of linear algebra, including systems of linear equations, matrix operations, and vector equations. Whether you've learned some of these concepts before and are looking for a refresher or you're brand new to the ideas we'll cover, you'll find the materials to support you. Let's get started!
(Please note that we obtained the following content based on information that users may want to know, such as skills, applicable scenarios, future development, etc., combined with AI tools, and have been manually reviewed)
This course will teach learners the fundamentals of linear algebra, including systems of linear equations, matrix operations, and vector equations. Learners will gain an understanding of how to apply these concepts to real-world problems and use them to solve data science problems. They will also learn how to use Python to create and manipulate data structures, such as matrices and vectors, and use them to solve linear algebra problems. Additionally, learners will gain an understanding of the importance of linear algebra in data science and how it can be used to create powerful models and algorithms. Finally, learners will be able to use linear algebra to create visualizations and gain insights from data.
Pros & Cons
Interesting framework and stepbystep approach.
Covers knowledge not found in other courses.
Good for those with basic linear algebra knowledge.
SimPy focus makes no sense.
Content not linear.
Quizzes have typos and errors.
Course Provider
Provider Coursera's Stats at AZClass
Discussion and Reviews
0.0 (Based on 0 reviews)
Explore Similar Online Courses
Asynchronous JavaScript Course (Async&Await Promises Callbacks)
Decolonising Education: From Theory to Practice
Python for Informatics: Exploring Information
Social Network Analysis
Introduction to Systematic Review and Meta-Analysis
The Analytics Edge
DCO042 - Python For Informatics
Causal Diagrams: Draw Your Assumptions Before Your Conclusions
Whole genome sequencing of bacterial genomes - tools and applications
Linear Algebra: Help & Tutorials
Eigenvectors and Eigenvalues
Linear Algebra Refresher Course
Related Categories
Quiz
Submitted Sucessfully
1. What is the purpose of this course?
2. What topics will be covered in this course?
3. Who is this course designed for?
4. What type of support will be provided in this course?
Start your review of Introduction to Linear Algebra and Python