Data Mining Certificate Information
Companies today store massive amounts of digital data that is impossible to interpret without advanced computation. A data mining certificate trains students to mine such data sets for patterns and insights that can subsequently be used to make predictions, inform best practices, and increase revenue. Students will learn about the tools and techniques used to effectively make data-driven decisions across industries. This covers the extraction, storage, analysis, and interpretation of large data sets using computing methods. Students will learn to work with information storage systems, such as databases and data warehouses, in addition to learning how to build and test data models.
Undergraduate certificates in data mining specifically are very uncommon; most specialized computer science certificates are offered at the graduate level. More commonly, data mining can be studied at this level via broader programs like data analytics.
Admission Requirements for Data Mining Programs
Some schools apply the same application standards to certificate students as they do to those pursuing a degree. It's common for students to be expected to provide a high school transcript and standardized test scores. Prerequisite coursework or experience in statistics, mathematics, and programming may be required. Institutions may offer the certificate in conjunction with a degree, in which case additional requirements related to the degree may apply. It may also be possible to transfer previously earned credits to waive certain course requirements.
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Data Mining Program Coursework
Certificate programs are relatively short and focus on data mining principles and skills. Students benefit from studying statistics so that they're able to effectively process data. They learn to routinely gather data from databases and other storage devices.
What is data mining and how is data mined? Students will be introduced to the methods and strategies used to access and process large data sets, learning how to turn statistics into actionable information. They will also learn how to organize data effectively.
Big data refers to exceptionally large volumes of data that are difficult to manage. Students in this course will learn about cloud computing as a solution and specific vendor services that allow companies to make use of the cloud. They will also explore how such storage systems impact data mining procedures.
In this course, students learn how to convert the vast amount of unstructured text online into structured data that can be interpreted for specific variables. They work with R programming on topics like sentiment analysis.
How can statistics be used to assess data? Students earning a data mining certificate will learn how to apply statistics to process information. Topics include probability, Bayes Theorem, confidence intervals and relevant statistics software.
In this course, students become familiar with the structure of databases and learn how to work with database programming languages. They study topics in database security, query languages, and database design.
IT Project Management
Students will learn how to prepare business plans for information technology systems. They will learn how to create, implement and oversee operational plans intended to achieve specific business goals.
How to Choose a Data Mining Certificate Program
There are not many undergraduate certificate programs in data mining, so students may opt to pursue related certificate programs in data analysis, data management, data science, or business analytics, which tend to be more common and may include applicable data mining courses.
Some programs offer coursework partially or fully online. Programs may be offered in conjunction with an undergraduate degree or as non-degree educational pursuits with the possibility of transferring credits later. It's important to carefully review admission requirements and program outcomes to ensure that you select a program that fits your academic and professional goals.
Career Options with a Data Mining Certificate
With an undergraduate certificate in data mining, it's possible to become a social science research assistant. Social science research assistants are responsible for maintaining databases and working with large amounts of data. According to the U.S. Bureau of Labor Statistics (BLS), social science research assistants earned a median annual income of $43,190 in 2016. The job growth rate for these professions is expected to be 4% from 2016 to 2026, according to the BLS.
Most relevant computer science, marketing and business analysis professions require at least a bachelor's degree. By itself, an undergraduate data mining certificate may qualify an individual for a few additional careers: