Online data degrees allow for flexibility to continue working at a full-time job while engaging in course work at times that are convenient for you. The path to data mining careers begins at your entry into undergraduate degree programs. Some students choose bachelors programs that can best complement their future career, such as the Bachelor's in Computer Science or Bachelor's in Information Technology.
Either of these programs could provide you with the knowledge needed to succeed in higher degree programs.
At higher graduate degree levels , you can choose degree specializations that can move you closer to your chosen specialized field, which will be outlined in the next section. Online Masters Degrees in Data Mining can help you prepare for a lifelong career involved with improving the outcome of your organization.
At the masters level, students can learn more about specific techniques in predictive analytics, text mining, and segmentation models. These skills can support your success as you seek out positions in IT and business-related entities after graduation.
Our team of educational experts has reviewed some of the online Masters in Data Mining currently available in the U.
Take a look at a few different available degree programs below. The innovative online data mining program at CCSU was designed to help students gains better insight about the methods of data mining and the many uses of data in the professional field. This program requires that students complete a total of 33 credit hours during their program, which can take around 2 years for most enrollees.
Prerequisites for this program include courses in statistics, which are expected to be completed at the undergraduate level. Indiana University — Online MS in Data Science Geared towards tech-savvy college students, the online MS in Data Science at Indiana University can help you learn more about the uses of data and technology in a wide variety of professional fields today.
This program requires that you complete 30 credit hours — including courses in Data Science, Data Analytics, and Machine Learning. Each of these courses can contribute to your growing expertise in data mining, leading to diverse career opportunities throughout your lifetime. Career Fields in Data Mining If you could imagine the large amounts of data that are transferred via the internet each day, it would be a hard total to fathom.
The information stored within computer information systems can provide researchers and data science professionals with endless information regarding personal preferences, trends, and predictions about IT behavior. Choosing to become a professional data mining specialist can make you eligible for exciting positions in popular fields such as business, IT, communications, education, or even healthcare.
As a data mining specialist in the fields of business and healthcare, you can work on finding solutions to common issues associated with IT, computer programs, or even consumer information storage.
Some data mining professionals can also work to identify buyer trends, which can help during the development of successful marketing programs for different types of products and services. In the business realm, data science professionals can be exceptionally useful during the development of helpful software to be used for daily duties, as well as those intended to connect organizations with the public.
Some professionals with this degree may also choose to pursue careers in the field of information technology. Data science found its home in this field, since a large majority of the work conducted is through the use of IT systems.
System programming, machine learning, and innovative technologies can benefit from the expertise of data mining professionals, since they have the skills necessary to analyze large amounts of data regarding the efficiency and operational benefits of certain software and hardware.
Alternative career paths for graduates in this field include those involving the education of other upcoming data science professionals, which can be done through college degree programs through universities. You could use what you know to help teach others about the processes and procedures used to effectively analyze data and present information for use in other domains. Colleges all over the country may be looking for professionals with your credentials to educate enrolled students in their programs.
Online Data Mining Degree Programs Consider a featured online data science program that is currently taking applications. AD DataSciencePrograms. Featured partner programs and sponsored searches are for schools that give us compensation.
The limits of data mining projects exist only in the imagination. Much of the role of data scientists in any organization is to survey the available data stores and design data mining projects to exploit the information in them for better decision support or increasing insights into business efficiency.
Because the process of data mining is so central to what most data scientists do, almost every aspect of data science education can be seen as a component of the data mining process. It can be difficult to view data mining as a separate topic from other discrete techniques, such as:. Each of these has some role to play in the data mining schema. Different schools may define data mining differently and emphasize or teach different parts of the data science process under the data mining rubric.
The Association for Computing Machinery ACM , a more than year-old trade group whose slightly archaic name betrays its age, established a special interest group SIG in dealing specifically with knowledge discovery and data mining KDD. SIGKDD proposed a formal model curriculum for data mining that helps to define the process and dictate how modern data scientists learn how to use it.
The curriculum has a good breakdown of the elements of data mining, splitting it into foundational and advanced topics that include:. In particular, considerations around ethics and propriety are becoming a focus as various abuses of data mining have come to light in recent years.
Because most of the current sources for data mining were gathered for other purposes initially, there is an issue in some cases over whether or not there was consent provided for the new analyses, or if consent is even a requirement for data mining. In some cases, such as with impersonal, aggregated data like GIS information or anonymized medical data, there are no issues.
This has caused not only public outcry but some soul-searching for data scientists engaged in data mining.
The technique is so powerful and useful that it is not going away any time soon, however.
0コメント