Imprimir

Programa

CURSO:INTRODUCCION A MANEJO DE DATOS EN EL MUNDO REAL
TRADUCCION:INTRODUCTION TO REAL WORLD DATA MANAGEMENT
SIGLA:SOL4034
CREDITOS:10 
MODULOS:02
CARACTER:OPTATIVO
TIPO:CATEDRA
CALIFICACION:ESTANDAR
DISCIPLINA:SOCIOLOGIA
PALABRAS CLAVE:METODOLOGIA DE ENCUESTAS, CIENCIA DE DATOS
NIVEL FORMATIVO:MAGISTER 


I.DESCRIPCIÓN DEL CURSO

Data is omnipresent in the contemporary world coming in different shapes and sized: from survey data to found data. In order to make use of such data through analysis it is necessary first to import and clean it. This is often one of the most time consuming and difficult parts of data analysis. In this course you will learn both the conceptual steps needed in preparing data for analysis as well as the practical skills to do this. The course will cover all the essential skills needed to prepare data be it survey data, administrative data or found data.


II.OBJETIVOS DE APRENDIZAJE 

1.Identify the stages involved in preparing data for analysis

2.Will learn the concept of tidy data

3.Will Understand the basics of using R

4.Will know how to write their own functions and loop over them

5.Will know how to import and export data

6.Will know how to clean data in R

7.Will know how to merge data

8.Will know how to manipulate textual data

9.Will know how to manipulate date/time data

10.Will know how to use tables and graphs to explore data


III.CONTENIDOS

1.The basics of R

2.Data importing and cleaning

3.Exploring data

4.Learning how to deal with text and date information


IV.METODOLOGIA PARA EL APRENDIZAJE 

-Flipped-classroom 

-Lectures delivered through pre-recorded online video sessions

-Live meetings, via a web platform, with discussions

-Quizzes and Homeworks

-Readings


V.EVALUACION DE APRENDIZAJES 

-Online assignments: 60%

-Online final project: 30%

-Class participation in online meetings and forum: 10%


VI.BIBLIOGRAFIA

Required readings (books)

Wickham, H., & Grolemund, G. (2017). R for Data Science. O?Reilly UK Ltd. (http://r4ds.had.co.nz/)

Grolemund, G. (2017). Hands-On Programming with R. Write Your Own Functions and Simulations. O?Reilly UK Ltd.

Required readings (articles)

Wickham, H. (2014). Tidy Data. Journal of Statistical Software, 59(10). https://doi.org/10.18637/jss.v059.i10

Additional required and recommended readings will be made available on the course website. None of the information in the recommended readings will be included on a homework assignment or the final exam.


PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE
INSTITUTO DE SOCIOLOGIA / NOVIEMBRE 2018