In this course, you will learn the basics of understanding the data you have and why correctly classifying data is the first step to making correct decisions. You will describe data both graphically and numerically using descriptive statistics and R software. You will learn four probability distributions commonly used in the analysis of data. You will analyze data sets using the appropriate probability distribution. Finally, you will learn the basics of sampling error, sampling distributions, and errors in decision-making.
ofrecido por
Managing, Describing, and Analyzing Data
Universidad de Colorado en BoulderAcerca de este Curso
15,571 vistas recientes
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Beginner level; no previous experience necessary.
Aprox. 15 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Qué aprenderás
Calculate descriptive statistics and create graphical representations using R software
Solve problems and make decisions using probability distributions
Explore the basics of sampling and sampling distributions with respect to statistical inference
Classify types of data with scales of measurement
Habilidades que obtendrás
analyzing datadescribing datausing Rgraphing data
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Beginner level; no previous experience necessary.
Aprox. 15 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
Universidad de Colorado en Boulder
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
Comienza a trabajar para obtener tu maestría
Este curso es parte del Master of Science in Data Science completamente en línea de Universidad de Colorado en Boulder.
Si te aceptan en el programa completo, tus cursos cuentan para tu título.
Programa - Qué aprenderás en este curso
2 horas para completar
Data and Measurement
Upon completion of this module, students will be able to use R and R Studio to work with data and classify types of data using measurement scales.
2 horas para completar
7 videos (Total 48 minutos), 1 lectura, 1 cuestionario
4 horas para completar
Describing Data Graphically and Numerically
Upon completion of this module, students will be able to use R and RStudio to create visual representations of data, and calculate descriptive statistics to describe location, spread and shape of data.
4 horas para completar
11 videos (Total 85 minutos)
3 horas para completar
Probability and Probability Distributions
Upon completion of this module, students will be able to apply the rules and conditions of probability and probability distributions to make decisions and solve problems using R and R Studio.
3 horas para completar
8 videos (Total 70 minutos)
3 horas para completar
Sampling Distributions, Error and Estimation
Upon completion of this module, students will be able to use R and RStudio to characterize sampling and sampling distributions, error and estimation with respect to statistical inference.
3 horas para completar
8 videos (Total 55 minutos)
Reseñas
Principales reseñas sobre MANAGING, DESCRIBING, AND ANALYZING DATA
por MW12 de mar. de 2021
The instructor is clear and easy to follow. The lessons are succinct. It helps to be familiar with the topics already.
por BT18 de abr. de 2021
We learned some theory and practiced in R. A perfect combination!
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si compro el Certificado?
Is financial aid available?
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