Linear Algebra for Data Science Using Python

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Linear Algebra for Data Science Using Python provided by Coursera is a comprehensive online course, which lasts for 17 weeks long, 2 hours a week. Linear Algebra for Data Science Using Python is taught by Moussa Doumbia. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

Overview
  • This Specialization is for learners interested in exploring or pursuing careers in data science or understanding some data science for their current roles. This course will build upon your previous mathematical foundations and equip you with key applied tools for using and analyzing large data sets.

Syllabus
  • Course 1: Introduction to Linear Algebra and Python
    - Offered by Howard University. This course is the first of a series that is designed for beginners who want to learn how to apply basic data ... Enroll for free.

    Course 2: Fundamental Linear Algebra Concepts with Python
    - Offered by Howard University. In this course, you'll be introduced to finding inverses and matrix algebra using Python. You will also ... Enroll for free.

    Course 3: Building Regression Models with Linear Algebra
    - Offered by Howard University. In this course, you'll learn how to distinguish between the different types of regression models. You will ... Enroll for free.

    Course 4: Capstone: Data Science Problem in Linear Algebra Framework
    - Offered by Howard University. In this course, you'll review the specifics of the Capstone project. In addition, you will create and run your ... Enroll for free.