Student Profile of Susan Stranburg

Traditionally, reports are designed to summarize data, but they can only tell you what happened. I'm applying data mining algorithms I've learned in my Statistics.com coursework to ask why something happened."

Susan Stranburg
Software Developer

Data science is in high demand, and Statistics.com provides a manageable means to receive training in this field.

I've been working in software development for over 10 years, with experience in many different technologies, such as Java and .Net in several different industries, including healthcare and financials. I am responsible for software design, architecture, and implementation. I'm surrounded by data in my work, and I believe there is great potential for finding meaningful patterns through the application of data mining algorithms. Traditionally, reports are designed to summarize data, but they can only tell you what happened. I'm applying data mining algorithms I've learned in my coursework to ask why something happened.

 

I made a presentation to my fellow employees about data mining, and they are interested in the opportunities it opens, and they’re coming to me with projects related to data mining. This knowledge is helping me move beyond software development and shift more toward being a data scientist. The ideas I’ve developed through the Statistics.com courses help me take an analytical look at the data and explore ways to add value.

 

I've been interested in data mining for many years, but I was reluctant to commit to a program that would make it difficult for me to manage my career and family at the same time. The relatively short duration and online format made the Statistics.com courses a perfect fit for me to achieve my education goal while balancing other aspects of my life. The online format allows me to fit my coursework into my constantly changing schedule.

 

Typically I read through the text for a couple hours each night during the week, and complete the assignment between Friday and Sunday. The coursework can be intense, but with planning it's manageable.

 

Even though I took statistics in college years ago (I earned a B.A. degree in mathematics and computer science at Susquehanna University), I started my Statistics.com courses with the introductory statistics classes as a refresher. I don't know if I hadn't learned the same topics back in college or if I had just forgotten, but I'm really glad I took the intro classes. Based on my experience, I suggest that students considering the advanced courses or PASS program might want to take the introductory courses, especially if they haven't completed a statistics course in the past year or two.

 

While coursework can be difficult, it's typically a short-term commitment that can bring great value to a career. Data science is in high demand, and Statistics.com provides a manageable means to receive training in this field.



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