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Preparation + opportunity = success

That's the DSU equation. We're a four-year university with nationally recognized programs, cutting-edge facilities, and the brightest thinkers. But we're also a tight-knit, inclusive community. Small class sizes mean hands-on training and individualized attention. All this with an affordable, public school price that's among the best values in the region.

Majors & Degrees

Data Analytics Certificate

Analyze your knowledge

Credits

12

Start Terms

Fall

|

Spring

|

Summer

Available

On Campus

|

Online

Tuition

$8,956.50

estimated per semester

More tuition details

Business and data-driven decisions go hand in hand. That’s why we’ve crafted our intricate Data Analytics Certificate to fit the business world. As a student of this program, you’ll be armed with the knowledge and skills necessary to solve crucial data-driven business problems and assist with analytics-driven decision-making.

Go forth and analyze

Businesses and industries are in dire need of analytic specialists. They need you.

Graduate with knowledge of database concepts and design principles. Learn how to effectively communicate results of analysis to stakeholders, in the optimal combination of graphics, visuals, verbally, and in writing.

Looking for experience? Look no further.

Use technology and computing languages to implement analytics solutions. Retrieve data, stored in a database, using the Structured Query Language (SQL). Determine appropriate analytic techniques and apply them to advanced analytical tools, enabling you to solve problems.

Learning Outcomes

Upon graduation, graduates of the program will be able to:
  • Use information technology and computing languages to implement analytics solutions
  • Select the appropriate analytics techniques and apply advanced analytical tools to solve data analytics problems
  • Understand basic database concepts and apply database design principles such as ER diagrams and normalization to design and implement a database management system
  • Retrieve data stored in a database using the Structured Query Language (SQL)
  • Prepare and transform Big Data sets into actionable information in an easy-to-understand format to support business decision making through the use of advanced data processing tools
  • Communicate the results of the analysis to stakeholders in the optimal combination of graphical/visual and written/verbal means

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