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Coursera

Linear Algebra for Data Science Using Python

Howard University via Coursera Specialization

Overview

Prepare for a new career with $100 off Coursera Plus
Gear up for jobs in high-demand fields: data analytics, digital marketing, and more.
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.

Courses

Taught by

Moussa Doumbia

Reviews

1.0 rating, based on 1 Class Central review

Start your review of Linear Algebra for Data Science Using Python

  • Anonymous
    Much of the code in the Jupyter Notebooks has errors. Random matrices are created and those matrices are used to demonstrate finding the inverse of a matrix. Not all matrices have inverses so the code fails. This is just one example of how bad these examples are. It is pretty clear that not much thought was put into these lessons.

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