Help Businesses Analyze Information - Data Mining & Analytics
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Online Undergraduate Certificate in Data Mining and Analytics

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100% Online Data Mining and Analytics Certificate classes start August 30, 2021.


Quick Facts

How long is the Data Mining and Analytics Certificate Program?

  • 14 Courses
  • 43 minimum credit hours
  • Can be completed in as little as 1 year and 4 months1 - or even more quickly with qualifying transfer credits.

Online Certificate in Data Mining and Analytics – What You Can Learn

This program will help you develop the essential skills needed to find your place in data mining and analytics.

At DeVry, our Data Mining and Analytics Certificate covers the following:

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Data Acquisition and Analysis

Acquire, retrieve and store data. Learn to draw conclusions by finding patterns and relationships in numerical data with tools used for statistical analysis.

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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.

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Coding and Programming

Explore the scripting and writing components of an application or program. Solve technical problems using an algorithmic approach, basic programming and coding methods.

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Machine Learning

Teach systems to learn without being explicitly programmed.

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Operating Systems

Install and configure operating systems using Command Line Interface (CLI).

Data Mining and Analytics Certificate Admissions Requirements

Students must place in MATH062 & ENGL062 or above. To begin program coursework, you must first complete transitional studies courses2, if applicable. Please see the catalog for complete admissions requirements.


Data Mining and Analytics Certificate and Financial Aid

Software Application Developer coding on laptop

Job Opportunities in the Data Mining and Analytics Field

Graduates of our online Data Mining and Analytics Certificate program may consider, but are not limited to, opportunities in positions such as:

  • Software Application Developer
    Also known as an Application Developer, a Software Application Developer is responsible for developing and modifying source code for software applications.

  • Software Programmer and Analyst
    Also known as a Software Programmer Data Analyst, responsibilities include developing and testing custom scripts and applications, creating software patches, testing applications and performing routine maintenance and updates on systems.

  • Software Developer Data Analyst
    A Software Developer Data Analyst creates new software from the initial concept, often to meet a specific need for a business or company. The additional responsibility of performing ongoing data analysis once a system is built differentiates the role from standard developer roles.

  • Data Analyst
    A Data Analyst uses data to help solve business problems, such as how to optimize profits, minimize turnover and streamline logistic processes.
  • Data Systems Developer
    A Data Systems Developer is a type of Software Developer. They develop and implement applications and programs for the backend processing systems used in businesses and organizations.

  • Data Modeler
    Data Modelers help create a visualization of how an organization can manage the incoming and outgoing data flow from its database. Data models map out where data is stored (in an application or software) and how various data elements fit together.

  • Data Miner
    A data mining specialist finds hidden information (such as patterns or irregularities) by exploring and sorting vast stores of data and understanding how it relates to – or helps – a business.

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

CEIS150 Programming with Objects
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

Data Mining and Analytics FAQs


What is data mining?

Data mining is the process of looking for patterns or abnormalities in large data sets to predict outcomes. While the word ‘mining’ may make it sound like digging for new information, it is actually the process of reviewing existing data to understand what the data is saying.


How does data mining work?

Data mining means sorting through large amounts of information to find trends or patterns. Many companies will have goals and needs that they are looking to address, and data may hold the solutions.


What is data mining used for? What are the benefits?

Data mining helps businesses manage stock, upsell and cross sell products and increase revenue. For example, supermarkets gather data via their loyalty programs, and data mining helps them make business decisions such as predicting the items they should be keeping in stock or knowing when a family may have small children and offering coupons for formula or diapers. In e-commerce, you are probably familiar with websites that offer up suggestions for “items other people have viewed” or “items that may interest you” while you’re shopping. These are all results of data mining being used to determine other items you might want based on what you already bought.


How do you acquire the skills needed for data mining?

Our data mining and analytics certificate at DeVry can help prepare you for a career by teaching you the necessary skills and providing the hands-on experience you will need to pursue various entry-level roles. If you choose to continue your education, qualifying credits from your certificate program can be applied to our Software Development bachelor’s degree program when you specialize in Big Data and Analytics.


How long does it take to learn data mining?

To earn a data mining and analytics certificate at DeVry, you will complete 14 courses with a minimum of 43 credit hours. This includes classes like Managerial Applications of Business Analytics and Database Management. Your certificate can be completed in as little as 1 year and 4 months1 – or even more quickly with qualifying transfer credits.


What is data analytics?

Data analytics is the science of reading data. Data analysis is inspecting, cleansing, transforming and modeling data in the hopes of discovering new useful information that can inform conclusions and support decision-making.


Is data analytics a good career?

Data analytics can be an excellent career option if you like analyzing information, identifying patterns and determining how your findings can be used to benefit organizations and their bottom line. It’s an exciting field that is constantly evolving thanks to the nearly unlimited amount of data that is collected through various technologies every day.

Graduates of DeVry’s data analytics certificate program may consider, but are not limited to, the following careers:

  • Data Analyst
  • Data Modeler
  • Data Miner
  • Software Developer Data Analyst
  • Data Systems Developer

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 level4

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


1Not including breaks. Assumes year-round, full-time enrollment.
2Transitional studies coursework may affect program length and cost.
3Data includes all partner tuition savings, institutional scholarships and grants for the period from July 1, 2019, to June 30, 2020.
4The 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.