Data Analytics (Big Data) & Software Application Development

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Apr 5, 2017 - oriented design, algorithms and data structures, ... Cloud computing. ... (big data) and software application development that can teach these ...

Data Analytics (Big Data) & Software Application Development

U

Online Skill Development for Today’s Employees

nderstanding how to work with big data and basic coding are becoming necessary skillsets for many positions. Seton Hill University now offers two new fully-online certificate programs in data analytics (big data) and software application development that can teach these skills in less than a year.

YOUR EMPLOYEES WILL LEARN TO: • Analyze massive data sets.

• Develop responsive mobile-friendly web pages & smart device interfaces.

• Create back-end web services & data repositories.

AND WILL BE READY TO IMPLEMENT THESE SKILLS IMMEDIATELY: • Complete projects involving actual workplace scenarios.

• Work in teams utilizing real-life roles and challenges.

Software Application Development Program AFTER SUCCESSFUL COMPLETION OF THIS ONLINE CERTIFICATE PROGRAM EMPLOYEES WILL HAVE GAINED: • Advanced competencies in software development and computer science (object oriented design, algorithms and data structures, integrated development environments and more). AND WILL BE FAMILIAR WITH: • • • • •

HTML (standard language for web pages). CSS (visual presentation language). JavaScript (scripting language of the www). Java (general-purpose programming language). JSON (asynchronous browser/server communication). • jQuery (cross-platform client-side scripting). • Apache Cordova (PhoneGap – mobile application development framework).

• Be taught and mentored by faculty in leadership positions at successful companies.

Data Analytics (Big Data) AFTER SUCCESSFUL COMPLETION OF THIS ONLINE CERTIFICATE PROGRAM EMPLOYEES WILL BE ABLE TO: • Acquire, process and analyze extremely large data sets using cloud-based data mining methods to do data exploration, discover patterns and answer business questions. AND WILL BE FAMILIAR WITH: • Wide data access & query (the web, social media, smart devices, the Internet of Things). • Machine learning. • Cloud computing. • Conceptual modeling. • Predictive modeling. • Prototyping. • Statistical analysis. • Sentiment analysis. • Hypotheses testing. • Data visualization. 4/5/2017

Four start times a year! Want to learn more now?

Visit setonhill.edu/data, setonhill.edu/softwaredev, email [email protected] or call (724) 830-1034.

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