- Python Programming
- Data Model
- Eigenvalues And Eigenvectors
- Matrices
- Linear Algebra
ofrecido por


Qué aprenderás
Use Python to solve vector equations
Apply linear algebra concepts such as the inverse of a matrix, row reduction, and eigenvalues and eigenvectors
Use regression models
Apply linear algebra to analyze data, create, and make predictions based off of a regression model
Habilidades que obtendrás
Acerca de este Programa Especializado
Proyecto de aprendizaje aplicado
Throughout this specialization, learners can practice individually and with peers using Python and linear algebra concepts. Learners will also engage in programming assignments, peer-graded assignments, quizzes, and discussion topics such as data modeling and matrices. For the Capstone project, learners will employ linear regression models to solve real-world problems, apply skills to analyze data, and develop linear regression models to make predictions.
Familiarity with mathematical thinking and concepts, some knowledge of Calculus, and a basic understanding of Python (all of these are not required)
Familiarity with mathematical thinking and concepts, some knowledge of Calculus, and a basic understanding of Python (all of these are not required)
Cómo funciona el programa especializado
Toma cursos
Un programa especializado de Coursera es un conjunto de cursos que te ayudan a dominar una aptitud. Para comenzar, inscrÃbete en el programa especializado directamente o échale un vistazo a sus cursos y elige uno con el que te gustarÃa comenzar. Al suscribirte a un curso que forme parte de un programa especializado, quedarás suscrito de manera automática al programa especializado completo. Puedes completar solo un curso: puedes pausar tu aprendizaje o cancelar tu suscripción en cualquier momento. Visita el panel principal del estudiante para realizar un seguimiento de tus inscripciones a cursos y tu progreso.
Proyecto práctico
Cada programa especializado incluye un proyecto práctico. Necesitarás completar correctamente el proyecto para completar el programa especializado y obtener tu certificado. Si el programa especializado incluye un curso separado para el proyecto práctico, necesitarás completar cada uno de los otros cursos antes de poder comenzarlo.
Obtén un certificado
Cuando completes todos los cursos y el proyecto práctico, obtendrás un Certificado que puedes compartir con posibles empleadores y tu red profesional.

Hay 4 cursos en este Programa Especializado
Introduction to Linear Algebra and Python
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.
Fundamental Linear Algebra Concepts with Python
In this course, you'll be introduced to finding inverses and matrix algebra using Python. You will also practice using row reduction to solve linear equations as well as practice how to define linear transformations. Let's get started!
Building Regression Models with Linear Algebra
In this course, you'll learn how to distinguish between the different types of regression models. You will apply the Method of Least Squares to a dataset by hand and using Python. In addition, you will learn how to employ a linear regression model to identify scenarios. Let's get started!
Capstone: Data Science Problem in Linear Algebra Framework
In this course, you'll review the specifics of the Capstone project. In addition, you will create and run your regression model and share your results with your peers. Let's get started!
ofrecido por

Universidad de Howard
Founded in 1867, Howard University is a private, research university that is comprised of 14 schools and colleges. Students pursue more than 140 programs of study leading to undergraduate, graduate and professional degrees. The University operates with a commitment to Excellence in Truth and Service and has produced one Schwarzman Scholar, three Marshall Scholars, four Rhodes Scholars, 12 Truman Scholars, 25 Pickering Fellows and more than 165 Fulbright recipients. Howard also produces more on-campus African American Ph.D. recipients than any other university in the United States. For more information on Howard University, visit www.howard.edu.
Preguntas Frecuentes
¿Cuál es la polÃtica de reembolsos?
¿Puedo inscribirme en un solo curso?
¿Hay ayuda económica disponible?
¿Puedo tomar este curso de manera gratuita?
¿Este curso es 100 % en lÃnea? ¿Necesito asistir a alguna clase en persona?
¿Recibiré crédito universitario por completar el programa especializado?
¿Cuánto tiempo se necesita para completar un programa especializado?
Do I need to take the courses in a specific order?
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