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FAQ

What skills are required to succeed in data analytics?

Answer

Succeeding in a career in data analytics requires soft skills such as problem solving, critical thinking, mathematical and analytical thinking, attention to detail, creativity and ingenuity. A great data analyst has a knack for identifying the key takeaways from a dataset and understand how to communicate it to many different types of people, from fellow analysts to C-suite executives looking for actionable insights.

Every job will come with its own requirements for technical skills and programming languages, including SQL, Python, SAS, Git, Excel, R, or many more.

Some jobs with a business emphasis may place a higher value on your ability to communicate the numbers rather than crunch them. Data analytics can become a valid career path for students with all sorts of different educational and professional backgrounds, such as going from accountant to data analyst.

Data analysts can wear many hats. We offer educational programs in data analytics across the spectrum of business and technology to equip students with the tools necessary to thrive in a wide variety of potential career pathways.

Learn more about the Herzing Data Analytics program

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* Bureau of Labor Statistics (BLS), U.S. Department of Labor, Occupational Outlook Handbook 2022. BLS estimates do not represent entry-level wages and/or salaries. Multiple factors, including prior experience, age, geography market in which you want to work and degree field, will affect career outcomes and earnings. Herzing neither represents that its graduates will earn the average salaries calculated by BLS for a particular job nor guarantees that graduation from its program will result in a job, promotion, salary increase or other career growth.

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