The Essence of Data Literacy in the Job Market
When information becomes a valuable asset, data becomes a strategic priority. Data is becoming a competitive differentiator for top organizations as they focus on digital transformation while still in the early stages of adoption. Data serves as a significant catalyst for a company's digitalization and transformation activities.
Training Duration: 1 Day
For many businesses, digital transformation is the name of the game these days. This is based on a diverse and impressive set of new (information and communication) technologies that have an increasingly significant impact on business outcomes. Data, analytics, intelligent automation, and artificial intelligence have advanced to the point that they are now essential in the digital transformation era. The development of a data-driven culture aids in the achievement of these positive business results.
While most businesses are focused on the potential of data-driven technologies (such as data lakes, data platforms, and artificial intelligence or machine learning), these technologies must be carefully nurtured to become a trusted core competence. Scalability, repeatability, and effective deployment, where algorithms are utilized to support humans, and data-driven technologies are embedded into enterprises' day-to-day operations, are frequently the only ways to get the actual value.
To fully enable people, they must have a more excellent knowledge of the insights data may bring through analytics and how they can use it to improve their work. People must learn to 'talk' data and become more data-literate for data to become a native language. Data literacy – the ability to comprehend, engage with, analyze, and reason with data – is critical in establishing a data-driven culture within a company.
After completing this course, students will be able to:
Definitions of data literacy
Understanding a data literacy culture
Data literacy culture
Characteristic of a data literacy culture
How important to have a data literacy knowledge
Why analytics is important
Students and academicians from all background.