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.
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
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.