What Is a Data Mining Specialist?
Master of Science in Business Analytics
Earn your MS in Business Analytics online from Pepperdine University. Learn advanced tools like Python, Tableau, SQL, Hadoop, and Excel.
- Complete in as few as 16 months
- Delivered by an AACSB-accredited school
- Earn a specialized business master’s degree
What Is Data Mining?
What Does a Data Mining Specialist Do?
Skills for Data Mining Specialists
Common Ways to Study Data Mining
Earn a Bachelor’s Degree in a STEM field
Get Trainings in Bootcamp Programs
Obtain an Advanced Degree in a STEM field
Study Short-Term Online Courses
Consider Certifications for Data Mining
Data Mining Specialist FAQs
The amount of time it takes to become a data mining specialist can range from a few months to four years depending on the path you choose and your background. An undergraduate degree in data science or computer science typically takes four years, and a graduate degree takes one to two years. If you choose to enroll in a bootcamp, it may take a few months to a year.
For many, pursuing data mining may lead to a lucrative career, but it depends on the individual’s preferences and experience. Like other data science roles, earning potential is closely related to industry choice. For example, would you rather pursue a career in the nonprofit sector or a for-profit startup? Additionally, individuals may consider other factors beyond earnings, such as a company’s mission, to determine whether this career is worthwhile.
Data mining skills include technical (or “hard”) skills and non-technical (“soft”) skills. Technical skills could include an understanding of statistics, programmatic modeling and data engineering. Soft skills among successful data mining specialists could include strong communication abilities and creative problem solving.
Overall, a successful data mining specialist should be able to balance a strong technical understanding with the competency to act on and communicate those findings.
Compared with business intelligence or data analytics, data mining is a branch of data science, while business intelligence focuses on tracking key performance indicators for an executive audience.
Data mining is often focused on more specific business problems. Data mining also involves more open-ended exploration of data and pattern recognition than a field like data analytics, which focuses on hypothesis testing and analytical methods.