Universidad Nacional Autónoma de México
Introducción a Data Science: Programación Estadística con R
Universidad Nacional Autónoma de México

Introducción a Data Science: Programación Estadística con R

229,693 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.7

(8,318 reviews)

Beginner level
No prior experience required
Flexible schedule
Approx. 46 hours
Learn at your own pace
97%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.7

(8,318 reviews)

Beginner level
No prior experience required
Flexible schedule
Approx. 46 hours
Learn at your own pace
97%
Most learners liked this course

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in Spanish

See how employees at top companies are mastering in-demand skills

Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 5 modules in this course

Una pequeña introducción a lo que veremos en el curso y la instalación de las herramientas a usar en él, tanto para sistemas operativos Windows, Linux y Mac OS.

What's included

9 videos2 readings

En esta primera semana, tendrás tus primeros pasos en el lenguaje, entenderás que son los objetos, las clases, los tipos de datos y podrás leer y escribir datos a distintas fuentes y tipos de archivos.

What's included

10 videos4 programming assignments

En esta semana, aprenderás a utilizar las estructuras de control para agilizar tareas repetitivas, a crear funciones para llevar a cabo tareas específicas o complejas, las reglas de alcance, el manejo de las fechas y variables de fechas, la importancia de utilizar operaciones vectorizadas para hacer tu código más rápido, por qué es importante escribir código con un buen estilo.

What's included

5 videos1 programming assignment

En esta semana primero conocerás una familia de funciones vectorizadas, las cuales te permitirán efectuar operaciones con muy pocas líneas de código, después conocerás el sistema de gráficos y las funciones que permiten realizar modificaciones en él.

What's included

9 videos6 programming assignments

Ensta última semana aprenderás sobre expresiones regulares y cómo utilizarlas con R, graficarás con el paquete de gráficos ggplot2, entenderás cómo encontrar errores y arreglarlos y llevarás a cabo simulación.

What's included

5 videos1 reading3 programming assignments

Instructor

Instructor ratings
4.8 (2,338 ratings)
Carlos Ernesto López Natarén
Universidad Nacional Autónoma de México
1 Course229,693 learners

Offered by

Recommended if you're interested in Data Analysis

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 8318

4.7

8,318 reviews

  • 5 stars

    78.35%

  • 4 stars

    18.35%

  • 3 stars

    2.38%

  • 2 stars

    0.39%

  • 1 star

    0.50%

SG
5

Reviewed on Sep 12, 2020

AC
5

Reviewed on Dec 30, 2017

VR
5

Reviewed on Oct 27, 2016

New to Data Analysis? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions