YOUR PATH TO A CAREER IN DATA SCIENCE

Learn about the degrees and careers that are shaping our future.

Degree Resources

Most of today’s data science professionals carry advanced degrees. If you are looking for a successful career in data science, you can use our site to learn about your options.

Career Guidance

Whether you are starting out in data science or you are looking for advancement opportunities, we can set you up for success with our career resources.

Short Courses and Certificates

Most employers look for highly trained professionals that can make a big impact on their organization. Short courses are highly specialized and may be what you need.

The Role of a Data Scientist

The rise of data science and the importance of data to businesses large and small will create job openings surpassing 11.5 million job openings by 2026. Not only is there a large demand, there is a shortage of qualified data scientists ready for the workforce. Here’s a look at some of the other careers a data science specialist can hold.
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Data Architect

A Data Architect will work with data management concepts in Data Sourcing, Data Quality Management, Enterprise Data Policy and Procedures and more to identify issues with data, organize data and communicate about data to officers of the company.
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Data Scientist

Data Scientists master the Data Science Life Cycle to help organize and analyze massive amounts of data and provide returns for the company at each stage of the process: Capture, Maintain, Process, Communicate and Analyze.
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Data Analyst

A Data Analyst will retrieve, gather and organize data, using it to create impactful conclusions for a business. They compile their findings into reports and develop systems to collect data and transmit findings to those in the organization.
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Business Intelligence (BI) Developer

A BI Developer is a data expert, using databases and various software to develop and plan solutions to business problems. They design, develop and analyze data architecture and create data models and other tools for the organization.
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Enterprise Architect

Large companies (enterprises) should use a data architect to facilitate the enhancement, integration, movement, quality, availability and integration of data throughout the enterprise. They must streamline data flows in this enormous role.
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Machine Learning Engineer

Companies such as Amazon and other large organizations use Machine Learning Scientists and Engineers to research and develop algorithms used in adaptive systems. They use predictive modeling, forecasting and Big Data examination to extract patterns.

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The Role of Data in Business

Roles in data science are varied, diverse, and have different responsibilities.
Data is a core component of every business decision made today. We use data to make advertising decisions, to decide who to recruit and hire, to examine trends in the market and within our organizations.

The field of data science uses scientific processes, algorithms, scientific methods and systems to extract valuable insights and knowledge from both structured and unstructured data.

What is Data Science?

Ever since Harvard Business Review called data science, “The Sexiest Job of the 21st Century,” data science became and has remained a buzzword for the umbrella of careers encompassing business analytics, business intelligence, statistics and predictive modeling. Data scientists may have been formerly known as statisticians, but the renaming of this field has led to greater adoption among companies who are now making more informed decisions based on data.

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