Across industries, there is a growing dependency on data and the systems that hold this abundance of information. As a result, data scientists continue to be highly sought after for their technical and analytical skills. For the aspiring data expert or the curious student, this piece covers the career outlook and range of salaries for data scientists in the United States.
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Data scientists are often tasked with coming up with cross-disciplined, scalable, data-driven solutions to problems. When Gavin Hudgeons, a student in the machine learning track at the DataScience@SMU program, saw the complexity involved in tracking speakers and topics in public meetings, he leveraged his experience from the program to create a tool to help navigate these discussions.
Data Science researchers in the DataScience@SMU program apply their skills to help map distilleries that are now producing hand sanitizer to meet demand during the COVID-19 crisis.
Across industries, there is a growing dependency on data and the systems that hold this abundance of information. As a result, data scientists continue to be highly sought after for their technical and analytical skills. For the aspiring data expert or the curious student, this piece covers the career outlook and range of salaries for data scientists in the United States.
Ginger Holt, who previously taught Quantifying the World in the online master's in data science program, answers a few questions about her focus on practical applications of data science in the real world, including her current role with Facebook’s data science team.
David Lary, who teaches Machine Learning in the online Master of Science in Data Science program at SMU, answers a few questions about his passion for data-driven service, his extensive background spanning decades, and the benefits as well as advancements in machine learning.
DataScience@SMU faculty member, Professor Ira Greenberg, is currently showing his most recent work, “Embodied Algorithm: [Re]embracing the Analog,” External link at the SMU Hamon Library Hawn Gallery. A combination computer science expert and traditional artist, Greenberg is conversant in coding and Cézanne, algorithms and abstractions. For this DataScience@SMU Faculty Spotlight, Greenberg chats about coding, art, his new exhibit, and why visualization is a skill that every data scientist needs in his or her toolkit.
Q&A with Sam Coyne, DataScience@SMU student. Sam discusses his key to success in an online program and maintaining a personal life balance that includes a passion for live music, working as an analytics specialist, and schoolwork as he progresses through the Master of Science in Data Science program at SMU.
Q&A with Danny Murphy, DataScience@SMU student. After traveling the globe in search of the best whitewater rafting the world has to offer and teaching English, Murphy shifted gears as a data analyst. Danny provides insight into why DataScience@SMU was the right fit for him.
