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Top 2021 Data Science & Analytics Careers and Skills + 11 Programs to Match

The demand for data science and analytics-related skills is no longer a nice to have, but a must to stand out across industries. In a Business-Higher Education Forum (BHEF) report, roughly 70% of business leaders in the U.S. stated that they prefer job applicants with data skills

Whether you’re looking to secure a data science role, strengthen your data literacy, or learn more about the advancement of tiny machine learning, here are 11 edX data science and analytics programs that can power up your career in 2021. 

Master Core Data Science Concepts

Data science professionals use statistical frameworks and tools to tackle complex, ambiguous business problems that companies are keen to solve. From familiarizing yourself with core concepts to earning a master’s degree, explore programs to help you pursue one of the most sought after positions in the job market today.

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Expand Career Opportunities With Analytics

Familiarizing yourself with the foundations of business analytics and analytic tools such as R and Python are critical as more companies start investing more resources into big data and analytics, according to International Data Group. Analytical skill sets can also open career flexibility across industries and fields. 

“Business analytics and data analytics live in every kind of enterprise you can possibly imagine,” said Gwen Britton, Associate Vice President, SNHU Global Campus STEM & Business Programs at Southern New Hampshire University and instructor for SNHU’s business analytics program on edX. “If you have a passion for healthcare, you could go into the healthcare industry and be a business analyst. If you have a passion for merchandising, same thing, or the hospitality industry or the government.”

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Plan For the Future With Data Management

Today’s businesses generate vast amounts of data—but most of it is unstructured, poorly managed, and unfortunately, unused. With data management skills, you can help your organization assess and manage their existing data to make improved business decisions. 

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Build Your Own TinyML Application

Machine learning is one of today’s hottest fields. Tiny machine learning (tinyML), one of the latest technologies within machine learning, is a rapidly growing area of deep learning that has major opportunities for innovation. 

“What I think is very exciting about tinyML is the fact that it empowers individuals with the right building blocks to be able to uncover a new industry that's actually getting formed,” said Vijay Janapa Reddi, Associate Professor at Harvard University, Inference Co-chair for MLPerf, and a founding member of MLCommons, a nonprofit ML organization. 

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