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Data literacy has become an essential skill set for everyone who works in business today, and a must for every organization to remain competitive.

Data skills—once the domain of technical professionals—are now a part of nearly every job role.

Organizations with aggressive data literacy programs outperform those who do not prioritize data literacy.

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What is Data Literacy?

Data literacy is the ability to understand, find meaning, interpret, and communicate using data. A data literate individual has the ability to understand, interpret, and apply data to fulfill knowledge gathering, decision making, and communication responsibilities of their specific job roles. Every individual takes part in creating a data literate organization with the ability to communicate, collaborate, and innovate using data.

eLearningCurve's Data Literacy certification (DLC) provides a solid foundation to understand the many dimensions of data ranging from data and databases to data management, data analysis, and data science. DLC helps you to gain the right level of knowledge across the entire data literacy body of knowledge and then provides a respected credential affirming your data knowledge and skills.

We offer three levels of data literacy certification – DLC, DLC Expert, and DLC Mentor – to meet the unique need of various business professionals. We can also address the need for data literacy education and certification for the enterprise.

Benefits of Data Literacy Certification

For individuals: Everyone who works in business today is to some degree a data worker. Having the knowledge to collaborate with others both in management and in use of data is quickly becoming a requirement for nearly every management and functional role in business. Data literacy is now a standard business skill set that appears in job requirements and performance expectations. Data literate individuals stand out in their organizations as high performers, well-informed decision makers, and ideal collaborators. Data literacy leads directly to increased job satisfaction and greater career opportunities. Data Literacy Certification (DLC) makes a strong statement that you have developed the knowledge and skills needed to understand, interpret, and communicate with data.

For the enterprise:
Data literacy is a differentiator between companies that thrive and those that struggle to survive. Recent studies find that organizations with aggressive data literacy programs outperform those who have not prioritized data literacy. Data is viewed by many as the most valuable commodity of the 21st century. Companies that fail to harness their data will quickly lose relevance, reputation, and revenue. A data literate workforce is fundamental to creating value from data. Collectively the workforce must have all of the skills to understand, find meaning, interpret, and communicate with data. Every individual needs to have working knowledge of where data comes from, how it is processed, how it is organized, how it is managed, and how it is used. Data Literacy Certification (DLC) helps to identify and fill knowledge gaps, and to assure that your workforce is a valuable and effective contributor to success as a data-driven enterprise.

For CDO's: CDO is a critical leadership role to create and sustain a data-driven organization. Shaping data culture is among the most important responsibilities of that role. Data culture is the collective beliefs and behaviors that shape an organization’s capabilities to turn data into information, knowledge, and insights that drive decisions and actions. Collective beliefs and behaviors begin with collective knowledge and understanding. For data, that means data literacy—common knowledge and understanding about how to manage, analyze, and interpret data. The Data Literacy Certification (DLC) program provides education based on a comprehensive Data Literacy Body of Knowledge to all participants. DLC for your employees establishes the collective knowledge and understanding that is the foundation for constructive data culture. It is the first step along the path from data literacy to data culture, and from data culture to data driven.