Elements of our curriculum can also help you prepare to pursue industry certifications like:
Undergraduate Certificates
Help Businesses Analyze Information - Data Mining & Analytics
Elements of our curriculum can also help you prepare to pursue industry certifications like:
CompTIA Linux+:
This industry certification demonstrates your ability to work within the Linux operating system. A favorite of programmers and tech professionals, variations of the Linux OS are used for countless PCs and devices. Understanding this operating system is crucial in the data mining profession.
CompTIA IT Fundamentals:
The IT Fundamentals certification verifies your comprehension of information technology basics. This entry-level certification is highly valuable for anyone in the IT field. It tests you on a broad spectrum of IT topics and concepts, showing your capability in all areas of the practice.
Or, follow a normal schedule and complete your program in 2 years.**
*Per 12-month period, assumes completion of 3 semesters, enrollment in 8-13 credit hours per semester and continuous, full-time year-round enrollment with no breaks.
**Per 12-month period, assumes completion of 2 semesters and full-time enrollment in 8-13 credit hours per semester.
You don’t have to wait four years to show a credential on your resume. At DeVry, several programs are designed to stack.
With stackable degrees, you can start your education by pursuing a more affordable, less time-consuming credential, like an undergraduate certificate. Once you've earned your credential, you can search for a job and pursue the workforce. This is also a great option for those who are already employed, thanks to flexible online and on-site classes that let you build your professional skills right away.
Should you choose to continue your education, you can come back to DeVry, and all the credits earned during your undergraduate certificate program will count towards an applicable associate or bachelor’s degree.3
Also known as an application developer, a software application developer is responsible for developing and modifying source code for software applications. Data mining professionals with a strong understanding of programming languages can leverage their data analysis skills to create software that gathers and uses data intuitively.
This role is responsible for developing and testing custom scripts and applications, creating software patches, testing applications and performing routine maintenance and updates on systems. A data analytics background can be useful in instances where you need to discern an issue with software using gathered data.
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. They often need to analyze data in order to see what could be improved from the initial concept.
A data analyst uses data to help solve business problems, such as how to optimize profits, minimize turnover and streamline logistic processes. They also use analytical skills to create presentations and consult other business teams on how to make decisions that are backed up by evidence.
A data analyst uses data to help solve business problems, such as how to optimize profits, minimize turnover and streamline logistic processes. They also use analytical skills to create presentations and consult other business teams on how to make decisions that are backed up by evidence.
A data analyst uses data to help solve business problems, such as how to optimize profits, minimize turnover and streamline logistic processes. They also use analytical skills to create presentations and consult other business teams on how to make decisions that are backed up by evidence.
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.
Data mining does incorporate some of the practices used in data analytics, but is more interested in discovering and isolating patterns within data. A data analyst then uses that uncovered data and the discovered patterns to test hypotheses by constructing models.
Big data can help companies run more efficiently, regardless of the field by improving the customer experience and assisting businesses in making decisions that boost productivity. As technology systems become more complex and gathering data becomes easier, more and more types of employers will need data analysts and miners. Because data serves a purpose in every industry, those who are proficient in data analytics may be able to work in fields as diverse as defense, business and healthcare. Adding to those benefits, an understanding of data and analytics is useful in day-to-day scenarios. With a solid understanding of these concepts, you can better scrutinize the information you receive in order to determine its veracity and trustworthiness. These skills are essential to maintain digital literacy and media literacy in the modern age.
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.
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.
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. These can include predicting the items they should be keeping in stock or recognizing local families 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. Data mining is also useful for making ad-campaign decisions and can influence product development as well.
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.
To earn a data mining and analytics certificate at DeVry, you will complete 14 courses totaling 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 one year and four months – or even more quickly with qualifying transfer credits.1
Data analytics is the science of reading data. Data analysis involves inspecting, cleaning, transforming and modeling data in the hopes of discovering new useful information that can inform and support decision-making. Often, the results from data analysis are used to guide high-value business decisions.
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 a 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
1Transitional studies coursework may affect program length and cost.
2Data is inclusive of all partner tuition savings, institutional scholarships and grants for the period for July 1, 2020 to June 30, 2021.
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.
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In New York, DeVry University operates as DeVry College of New York. DeVry University is accredited by The Higher Learning Commission (HLC), www.hlcommission.org. The University’s Keller Graduate School of Management is included in this accreditation. DeVry is certified to operate by the State Council of Higher Education for Virginia. Arlington Campus: 1400 Crystal Dr., Ste. 120, Arlington, VA 22202. DeVry University is authorized for operation as a postsecondary educational institution by the Tennessee Higher Education Commission, www.tn.gov/thec. Lisle Campus: 4225 Naperville Rd, Suite 400, Lisle, IL 60532. Unresolved complaints may be reported to the Illinois Board of Higher Education through the online complaint system https://complaints.ibhe.org/. View DeVry University’s complaint process https://www.devry.edu/compliance/student-complaint-procedure.html Program availability varies by location. In site-based programs, students will be required to take a substantial amount of coursework online to complete their program.
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