We are flooded with data every day. One of the most important challenges that organizations face today is a lack of data literacy. Do your employees have sufficient knowledge to properly read, interpret and convert data into valuable insights?

Data literacy (or Data Literacy) refers to the ability to understand, analyze, and critically evaluate data sets used in machine learning. In the age of artificial intelligence, the quality and integrity of training data is crucial because it forms the basis on which algorithms learn and make predictions. Inaccurate, biased, or poorly compiled data can lead to inaccurate, unethical, or even harmful results.

During this training, we will promote data literacy within your company. By giving users and developers insight into the origin, composition, and quality of their datasets, we teach participants how to make better-informed decisions about the use of data. This goes beyond statistical analysis; it's also about understanding the ethical implications, possible biases in the data, and the wider impact that these datasets can have on machine learning models and their outputs. At the end of this Data Literacy training, you will have various tools to distinguish the information from the manipulation based on your curiosity.

This training is designed for anyone who wants to understand and analyze data more quickly and communicate effectively.