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Suggested by: Coursera (What is Coursera?)
No prior knowledge required
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This specialization is designed for learners who are interested in exploring or advancing careers in data science or understanding some aspects of data science for their current roles. The course will build on previous mathematical foundations and provide important applied tools for analyzing and using big data.
During the internship, learners can practice independently and in groups using Python and the principles of linear algebra. Learners will also engage in programming assignments, peer-graded assignments, quizzes, and discussion topics such as data models and matrices.
What You’ll Learn This course is the first in a series designed for beginners who are interested in learning how to apply basic data science concepts to real-world problems. You could be a student considering a career in data science and want to learn more, or a business professional who wants to apply data science principles to their work. Or maybe you’re simply a curious, lifelong learner drawn to the powerful tools that data science and mathematics offer. No matter what your motivation, we’re here to provide you with the support and information you need to get started.
In this course, we will cover basic principles of linear algebra, including:
Whether you’ve studied some of these concepts before and are looking for a refresher or you’re completely new to these concepts, you’ll find study materials here to help you. Let’s get started!
What you’ll learn in this course: You’ll learn how to find inverses and do matrix algebra using Python. You’ll also practice using row minimization to solve linear equations, and you’ll learn how to define linear transformations. Let’s get started!
What you will learn In this course, you will learn to distinguish between the different types of regression models. You will be able to apply the small box method to a data set by hand and using Python. You will also learn how to use a linear regression model to identify scenarios. Let’s get started!
What you will learn in this course You will review the specifics of the final project. In addition, you will create and run your regression model and share the results with your colleagues. Let’s get started!
