1.4.2 - Data Analytic Projects

Una universidad ha implementado un análisis de siguiente generación. ¿Qué pregunta probablemente sería respondida por el análisis de siguiente generación que no podrían ser contestadas por herramienta de análisis tradicionales?

• ¿Qué clase tiene más secciones disponibles?

• ¿Cuáles son los 10 libros de texto más caros que se requieren en cualquier clase?

• ¿Cuáles 100 clases se llenan más rápido una vez que la inscripción abierta esté disponible para la población general?

• ¿Qué docente tuvo el mayor número de alumnos matriculados en clases durante el último año?

• ¿Qué secciones de clase consideran más los estudiantes en el entorno en línea sin realmente inscribirse?

Answer explanation

Structured data would be able to answer questions related to how many sections, textbook prices, or enrollment statistics such as courses that fill the quickest or the most number of students. Next generation analytics takes data analysis a step forward in analyzing browsing habits and predictive analytics based on prior data and current data in real time.

Una universidad utiliza un sistema de gestión del aprendizaje (LMS) para alojar materiales de lectura y brindar acceso a tareas y evaluaciones. Un profesor utiliza el LMS para comprobar las actividades completadas por los estudiantes en un curso en particular. ¿Qué método de análisis de datos se está utilizando?

• 
  indicative

• 
  predictive

• 
  descriptive

• 
  prescriptive

• 
  proactive

Answer explanation

Data analytics, applied to Big Data, can be classified in three major types:

• Descriptive - provides information about the past state or performance of a person or an organization

• Predictive - attempts to predict the future, based on data and analysis, or what will happen next

• Prescriptive - predicts outcomes and suggests courses of actions that will hold the greatest benefit to an organization

In this case, the teacher uses the existing data to check the progress of students.

A large online ordering company collects the sales history of its customers. Using this historical data, the online company sends customized sales advertisements to a specific group of customers. Which data analytics method is being used?

• 
  indicative

• 
  predictive

• 
  descriptive

• 
  prescriptive

• 
  proactive

Answer explanation

Data analytics, applied to Big Data, can be classified into three major types:

• Descriptive - provides information about the past state or performance of a person or an organization

• Predictive - attempts to predict the future, based on data and analysis, or what will happen next

• Prescriptive - predicts outcomes and suggests courses of actions that will hold the greatest benefit to an organization

In this case, the company predicts the customers who are more likely to purchase similar products, and sends those customers the targeted sales advertisements.

Es un ejemplo de Analisis Descriptivo de Datos

• 
  predicted oil price increases- - predecir el incrmento del precio del petróleo

• control of highway traffic signals - el control de las señalizaciones en la carretera

• 
  an hourly traffic report for a highway - reporte del tránsito por hora en un carretera

• a weather forecast description - una descripcion de pronóstico del clima

Answer explanation

An example of descriptive data analytics is an hourly highway traffic report because it is based on historical data (traffic patterns over the last hour for example) but does not use that analysis to predict or control future events. Predicted oil price increases and a weather forecast are both examples of predictive data analytics. The use of data analytics to control highway traffic signals is an example of prescriptive data analytics.

What is a benefit of analyzing data in motion rather than a static data set?

• Las decisiones criticas pueden ser tomadas más rápido.

• Los datos son más precisos.

• 
  Todos los datos historicos se usan para tomar a una decisión.

• Los datos son más estructurados.

Answer explanation

Analysis using a static data set uses historical data. Data in motion uses historical data as well as data from sensors, users, machines or any related data that is generated in real time. A benefit of using data in motion is that analysis is being performed on real time data, which provides quicker more accurate results.

Which type of results do data analysts calculate from larger datasets to inform decision making?

• -

  ¿Qué tipo de resultados calculan los analistas de datos a partir de conjuntos de datos más grandes para informar la toma de decisiones?

• converged - convergido

• 
  numerous - cimeroso

• varied - variado

• 
  accurate - preciso

Answer explanation

Larger datasets allow the data analyst to calculate much more accurate results to inform decision making.

What is a characteristic of predictive data analysis?

• 
  establishes a future trend line based on past data

• 
  uses simple math models

• 
  uses a feedback system to track outcome of actions taken

• 
  based solely on historical data

Answer explanation

Predictive analytics is useful when trying to predict the future, based on collected data and statistical techniques. Predictive analytics is also useful when trying to infer missing data and when establishing future trend lines based on past data.

What is the first step in any analytic project?

• Establecer el objetivo del projecto.

• Encontrar datos relevantes para el análisis.

• Crear tablas y gráficos representativos.

• Hacer recomendaciones para realizar cambios.

Answer explanation

In the first step of any analytic project, the goal of the project is defined. Goals for projects can be based on external (client) or internal (stakeholder) business requirements. Understanding the goals of the project is key to successful data analysis.