Ir al contenido principal

MITx: Introduction to Computational Thinking and Data Science

6.00.2x is an introduction to using computation to understand real-world phenomena.

Introduction to Computational Thinking and Data Science
9 semanas
14–16 horas por semana
Al ritmo del instructor
Con un cronograma específico
Gratis
Verificación opcional disponible

Hay una sesión disponible:

¡Ya se inscribieron 245,151! Una vez finalizada la sesión del curso, será archivadoAbre en una pestaña nueva.
Comenzó el 20 mar
Termina el 23 may
Inscríbete
Introduction to Computational Thinking and Data Science

Sobre este curso

Omitir Sobre este curso

6.00.2x will teach you how to use computation to accomplish a variety of goals and provides you with a brief introduction to a variety of topics in computational problem solving . This course is aimed at students with some prior programming experience in Python and a rudimentary knowledge of computational complexity. You will spend a considerable amount of time writing programs to implement the concepts covered in the course. For example, you will write a program that will simulate a robot vacuum cleaning a room or will model the population dynamics of viruses replicating and drug treatments in a patient's body.

Topics covered include:

  • Advanced programming in Python 3
  • Knapsack problem, Graphs and graph optimization
  • Dynamic programming
  • Plotting with the pylab package
  • Random walks
  • Probability, Distributions
  • Monte Carlo simulations
  • Curve fitting
  • Statistical fallacies

De un vistazo

  • Institution MITx
  • Subject Informática
  • Level Intermediate
  • Prerequisites

    6.00.1x or equivalent (some prior programming experience in Python and a rudimentary knowledge of computational complexity)

  • Language English
  • Video Transcript English
  • Associated programs
  • Associated skillsProblem Solving, Data Science, Python (Programming Language), Computational Thinking, Population Dynamics, Viruses

Lo que aprenderás

Omitir Lo que aprenderás
  • Plotting with the pylab package
  • Stochastic programming and statistical thinking
  • Monte Carlo simulations

Preguntas frecuentes

Omitir Preguntas frecuentes
  • What type of computing environment do I need for this course?
    • You need to have a computer running one of the following operating systems:
    • Microsoft Windows, version XP or greater (XP, Windows Vista, or Windows 7)
    • Apple OSX, version 10.2 or greater
    • Linux - most distributions that have been released within the past two years should work
    • In addition, you will need the ability to download, install, and run software on your computer.
  • Is there a course textbook?
  • What browser should I use?
    • We strongly recommend that you use the Chrome browser while visiting the edX site. This site is optimized for viewing in Chrome.
    • If you cannot use Chrome, you should use the Firefox browser. Be advised you may have trouble with site functionality if you choose to use an alternate browser.
  • What programming language(s) will this course use?
    • 6.00x will be using the Python programming language, version 3.5.
    • You are not expected to have any prior programming knowledge - this course is intended for students who have little to no experience with any programming language.
  • What is the format of the class?
    • The class will consist of lecture videos, which are broken into small chunks, usually between eight and twelve minutes each. Some of these may contain integrated "check-yourself" questions.
    • There will also be programming assignments and standalone exams/quizzes, which are not part of the video lectures.
  • Will the text of the lectures be available?
    • Yes, transcripts of the course will be made available.
  • Do I need to watch the lectures live?
    • No. You can watch the lectures at your leisure - you do not need to watch the lectures at any set time.
  • How much does it cost to take the course?
    • Nothing: the course is free.

¿Quién puede hacer este curso?

Lamentablemente, las personas residentes en uno o más de los siguientes países o regiones no podrán registrarse para este curso: Irán, Cuba y la región de Crimea en Ucrania. Si bien edX consiguió licencias de la Oficina de Control de Activos Extranjeros de los EE. UU. (U.S. Office of Foreign Assets Control, OFAC) para ofrecer nuestros cursos a personas en estos países y regiones, las licencias que hemos recibido no son lo suficientemente amplias como para permitirnos dictar este curso en todas las ubicaciones. edX lamenta profundamente que las sanciones estadounidenses impidan que ofrezcamos todos nuestros cursos a cualquier persona, sin importar dónde viva.

Este curso es parte del programa Computational Thinking using Python XSeries

Más información 
Instrucción por expertos
2 cursos de alta calidad
Dictado por instructores
Las tareas y los exámenes tienen fechas de entrega específicas
5 meses
14 - 16 horas semanales

Formas de realizar este curso

Elige tu camino al inscribirte.

Verified Track

Audit Track

Costo

75 US$

Free

Acceso a los materiales del curso

Ilimitado

Limitado

Caduca el 22 may

World class institutions and universities

Asistencia de edX

Certificado para compartir al finalizar

Tareas con calificación y exámenes

Visita la sección de Preguntas frecuentesen una pestaña nueva con preguntas frecuentes sobre estas modalidades.

¿Te interesa este curso para tu negocio o equipo?

Capacita a tus empleados en los temas más solicitados con edX para Negocios.
ComprarSolicitar información