Turn Your Interest in Data into a Career
Using data in decision-making is an essential skill1 in today’s workplace. DeVry’s Certificate program in Data Mining and Analytics helps prepare you with the skills needed for a career in a data-focused field. This data mining certificate teaches the skills often necessary to build, verify and test data models in order to make sound business decisions. No prior experience is required.
In this program you will:
- Dive into working with databases using SQL
- Learn to use Python coding to generate analytical results
- Explore practical uses of data mining tools to manage, manipulate and present data
- Learn strategies for data acquisition, storage, interpretation and analysis
As part of this data mining and analytics undergraduate certificate, you will be equipped with DeVry’s Internet of Things (IoT) Kit2, which provides hands-on learning to help you develop the skills needed for today’s IoT economy.
Once you’ve earned your certificate, don’t stop there! All of your data mining courses apply toward a qualifying bachelor’s degree program at DeVry.
When you earn a certificate in Data Mining and Analytics from DeVry, you can apply 1/3 of those credits to a specific bachelor’s degree from DeVry, which can save you both time and money in earning your degree. Specifically, the 43 credits from this data mining certificate stack into DeVry’s Bachelor’s Degree in Software Development with a specialization in Big Data and Analytics.
Classes Start Every 8 Weeks
Earn your Undergraduate Certificate in Data Mining and Analytics in as little as 1 year and 4 months*—or even more quickly with qualifying transfer credits.
*Not including breaks. Assumes year-round, full-time enrollment.
Graduates of DeVry’s online Data Mining and Analytics Certificate Program may consider, but are not limited to, opportunities in positions such as:
Software Application Developer
Software Programmer and Analyst
Software Programmer Data Analyst
Data Systems Developer
|MATH114||Algebra for College Students|
|MATH221||Statistics for Decision-Making|
|CEIS101C||Introduction to Technology and Information Systems|
|CEIS106||Introduction to Operating Systems|
|CEIS110||Introduction to Programming|
Coding and Programming
|CIS170C||Programming with Lab|
|CEIS236||Database Systems and Programming Fundamentals|
|CEIS312||Introduction to Artificial Intelligence and Machine Learning|
Data and Analysis
|BIAM300||Managerial Applications of Business Analytics|
|CEIS480||Data Mining and Analytics|
|CEIS485||Data Interpretation and Statistical Analysis|
|CEIS299||Careers and Technology|
|CEIS499||Preparation for the Profession|
Make the Most of Stackable Degrees
2The IoT Kit is a required expense and is not complimentary.
3The figures displayed represent the minimum credit hours required for graduation. At the time of application to the next credential level, an evaluation of qualifying transfer credit will occur and the most beneficial outcome will be applied.
**The figures displayed represent the minimum credit hours required for graduation. Additional coursework may be necessary to complete program requirements.