Do you enjoy working with data? Or using data to tell a story? Would you like to enhance your skills that might help amplify your success leveraging your love of data? If so, Scottsdale Community College’s Certificate of Completion (CCL) in Data Analytics may be for you.
This particular program is designed to prepare students to model, synthesize, analyze, and present large data sets for business decision making. Courses focus on the techniques and computer software used in industry to extract data from various data sources, model and integrate that data, and then visualize this data for business decision making and intelligence gathering.
This program is ideal for learners who may already have prior business training (an associate’s or bachelor’s degree, for example) and are seeking to upskill, reskill or complement existing credentials. Additionally, if you already have course credits from prior business or math courses, that credit may be applied/transferred to this path allowing for quicker completion of required courses!
Coursework includes a mix of Computer Information Science (CIS) and Business (GBS) relevant courses that complement one another in 18 credits. Courses have flexible start days and are available online to accommodate almost any schedule. After completing the required coursework, you will be prepared to effectively use spreadsheets, create and work with databases, leverage relational databases using SQL, understand the fundamentals of modern business, solve probability applications, maximize business intelligence, use statistical techniques for decision making, and apply data modeling for informed decision making.
According to O*Net and the Bureau of Labor Statistics, the outlook for someone pursuing a CCL in Data Analytics is “bright”, which means that this particular field is expected to grow at a significantly quicker rate than other industry roles over the next 10 years. After achieving this credential, students would have a competitive advantage pursuing roles as a data scientist, data analyst, research analyst, business intelligence analyst, analytics consultant, database manager, and more. The possibilities are endless.
Learn more about SCC's CCL in Data Analytics here.