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Online Undergraduate Certificate in Data Mining and Analytics

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.

Stacking Credits

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.


Availability

What You'll Learn

The data mining and analytics certificate is built around our tech-empowered learning approach designed to help students thrive during their academic journey and beyond. This program covers the following:

  • database systems icon
    Database Systems
    Program and manage large data systems.
  • analytical skills icon
    Analytical Skills
    Analyze numerical data.
  • coding icon
    Coding
    Scripting and writing components of an application or program.
  • problem solving icon
    Problem Solving
    Use business and management principles to problem-solve a variety of workplace challenges.
  • programming icon
    Programming
    Solve technical problems using an algorithmic approach, basic programming and coding methods.
  • data analysis icon
    Data Analysis
    Learn to draw conclusions by finding patterns and relationships in numerical data with tools used for statistical analysis.
  • data mining icon
    Data Mining
    Explore traditional methods to interface with data. Learn to mine and analyze data sets to interpret results and communicate predictions utilizing cloud-based computing, machine learning tools, and more.
  • digital devices icon
    Digital Devices
    Explore digital concepts, devices and connectivity within the realm of the Internet of Things (IoT). Topics include networking, securing, and deploying digital devices.
  • data acquisition icon
    Data Acquisition
    Acquire, retrieve and store data.
  • machine learning icon
    Machine Learning
    Teach systems to learn without being explicitly programmed.
  • operating systems icon
    Operating Systems
    Install and configure operating systems using Command Line Interface (CLI).

Certification Preparation

Earn a Data Mining and Analytics Certificate from DeVry and prepare to pursue industry-recognized certification exams, including:

  • CompTIA IT Fundamentals
  • CompTIA Linux+
  • Microsoft Technical Associate – Python

Career Opportunities

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

  • Software Developer Data Analyst

  • Data Analyst

  • Data Systems Developer

  • Data Modeler

  • Data Miner

Program Courses

Mathematics

MATH114 Algebra for College Students
MATH221 Statistics for Decision-Making

Tech Core

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
CEIS340 Database Management
CEIS480 Data Mining and Analytics
CEIS485 Data Interpretation and Statistical Analysis

Career Preparation

CEIS299 Careers and Technology
CEIS499 Preparation for the Profession

Make the Most of Stackable Degrees

Earn a Credential at Every Step

You don’t have to wait four years to show a credential on your resume.  At DeVry, several programs are designed to stack. 

  • Start with a shorter credential that takes less time so it’s more affordable
  • Flexible online and on-site classes build your professional skills right away
  • Every course counts toward the next degree level3

How Do Credentials Stack?

Here’s an example: The Data Mining and Analytics certificate can serve as a steppingstone to our Software Development bachelor’s degree when you specialize in Big Data and Analytics. If you choose to continue on with your education, all credits apply to your bachelor’s degree.

Academic Catalog

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Program Overview

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Academic Catalog

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Program Overview

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Related Programs


1https://www.liebertpub.com/doi/full/10.1089/big.2013.1508
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.