Data analytics is a rapidly evolving field. In today's labour market, knowing how to acquire, process, and interpret large amounts of data to make optimal decisions is crucial for many professionals, especially those in business and engineering. This open textbook, "a new online course" if you will, focuses on three key concept areas: data acquisition, data processing, and decision-making models. In this course, students will be able to develop advanced knowledge and skills to acquire related data for operations of business or projects; apply quantitative literacy skills such as statistics and machine learning; and use predictive or prescriptive modeling to make timely, actionable, and meaningful decisio
Data is playing an increasingly important role in business. The demand for skilled data analysts and...
The amount of data collected by businesses today is phenomenal. The analysis of this data is critica...
Aside from statistics courses, accessible data analytics skills are often excluded from traditional ...
Aimed at providing portable usability of the information and effectiveness in decision making proces...
Data analytics is a rapidly emerging interdisciplinary research area that involves advances in engin...
In today’s labor market, employers are seeking candidates with a combination of both workforce speci...
Syllabus for a course in data analytics for business economics, focusing on use of source data sets ...
Abstract \ \ The explosive growth of data analytics has led to a large demand for analytical skil...
The age of data analytics requires data scientists” across a wide range of business disciplines wit...
In the current age of data analytics, there has been a push for the emergence of technologies that a...
The nature of the risks and opportunities facing business has changed over time. Much of the global ...
Companies rely on business intelligence and business analytics to support organizational decision ma...
The book aims to advance global knowledge and practice in applying data science to transform higher ...
While business analytics increases its use in gaining data driven insights in supporting business de...
The question this special issue would like to address is how to harvest big data to help decision-ma...
Data is playing an increasingly important role in business. The demand for skilled data analysts and...
The amount of data collected by businesses today is phenomenal. The analysis of this data is critica...
Aside from statistics courses, accessible data analytics skills are often excluded from traditional ...
Aimed at providing portable usability of the information and effectiveness in decision making proces...
Data analytics is a rapidly emerging interdisciplinary research area that involves advances in engin...
In today’s labor market, employers are seeking candidates with a combination of both workforce speci...
Syllabus for a course in data analytics for business economics, focusing on use of source data sets ...
Abstract \ \ The explosive growth of data analytics has led to a large demand for analytical skil...
The age of data analytics requires data scientists” across a wide range of business disciplines wit...
In the current age of data analytics, there has been a push for the emergence of technologies that a...
The nature of the risks and opportunities facing business has changed over time. Much of the global ...
Companies rely on business intelligence and business analytics to support organizational decision ma...
The book aims to advance global knowledge and practice in applying data science to transform higher ...
While business analytics increases its use in gaining data driven insights in supporting business de...
The question this special issue would like to address is how to harvest big data to help decision-ma...
Data is playing an increasingly important role in business. The demand for skilled data analysts and...
The amount of data collected by businesses today is phenomenal. The analysis of this data is critica...
Aside from statistics courses, accessible data analytics skills are often excluded from traditional ...