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This webinar provides an introductory overview of the fundamental concepts, principles, and core skills of data literacy.
Data literacy is the ability to read, review, understand, and communicate with data. It involves the competencies required for working with data effectively and productively, understanding what data means, reading graphs and charts, as well as drawing conclusions from data.
More broadly speaking, data literacy gives us the capacity to navigate the vast data-rich information landscape we inhabit in the 21st century. Individuals and businesses that are data literate put themselves above the competition by making better, more informed, data-driven and evidence-based decisions.
In this session we’ll define and breakdown a core framework of skills that you or your organization can use to develop data literacy. We’ll look at the core competencies of reading, writing, analyzing, communicating, and reasoning with data:
Reading and Understanding data
The ability to review and comprehend different types of data from various sources and in a variety of forms (such as reports, briefs, charts, graphs, and dashboards). When we’re able to read and understand various forms of data we are able to interpret them and make informed decisions based on the findings.
Communicating, writing, and reporting with data.
The ability to take data, make it understandable, and explain it others. This includes: “data storytelling – or creating narratives out of the data we’ve analyzed to tell a story, support an argument, or make a case for your position. This skillset also includes using data visualization tools (such as graphics and dashboards) to present data to others. We will also provide an overview of the concepts, skills, processes, and tools associated with data science, data engineering, predictive modeling and machine learning.
Analyzing and reasoning with data.
The third data literacy skillset we cover is the ability to reason and work with data. This means collecting, navigating, and “operationalizing” or harnessing data in support of business strategies and business decision-making. This can also include: the analysis of business data points in order to identify trends and improve performance; statistical analysis; and data reporting.
Developing a “data culture”
We conclude this module with an overview of the concept of developing a data culture. Whether in your personal, social, civic, or professional sphere, developing an environment in which data-driven and evidence-based decisions are the norm leads to improved performance. We’ll cover the key principles required to create a data culture for you, your peers, and your team members.
We are experiencing an unprecedented moment in history. Data proliferates around us at a scale and rate never seen, with a staggering 2.5 quintillion bytes of data produced every day. Thanks to the increasing ubiquity of pervasive mediating technology platforms such as smart devices, social media, 24-hour information access, AI, smart homes, and augmented/mixed reality, data saturates every domain of our lives – from the professional to the social, the personal to the political.
This introductory webinar is for you if you’ve ever found yourself asking questions such as:
With a handful of fundamental core skills, you can learn to avoid the pitfalls and harness the opportunities that come with living in an increasingly data-rich environment. Once you understand these basics you can vastly improve your ability to:
In the age of AI, big data, deepfakes, “alternative facts,” “fake news,” and questionable statistics, the truth is that we can’t afford not to be data literate, whether our role is employee, employer, business leader, student, parent, or responsible citizen.