Data literacy is the ability to read, use, understand, and communicate data as information. At the organizational level, it is the extent to which the organization, and its members, comprehends and communicates data to drive value. A data-literate workforce will be able to understand, share common knowledge of, and have meaningful conversations about data. Learning on Visualizing data, Business Intelligence (BI), Artificial Intelligence (AI), Machine Learning (ML), Deep Learning Module, Natural Language Processing (NLP), Data Quality, and Forecasting are included in this course.
Learning Objectives:
Interpret and explain:
- Straightforward statistical operations such as correlations or judge averages.
- A business case based on concrete, accurate, and relevant data.
- The output of the organization's systems or processes to stakeholders.
- The output of machine learning algorithms.
- The essence of data shared with colleagues or other organizations.
Use data in the:
- Managing complex supply chains.
- Understanding of market and customer requirements.
- Driving product and service innovations.
- Evaluation and monitoring of process efficiencies.
- Mitigation of risks.
- Spotting unexpected operational issues and identification of their root causes.
Target Audience:
Federal employees who want essential knowledge and skills to understand, use, read, and interpret enterprise data consistently, derive trusted insights, and use these knowledge and skills in the execution of the employee’s organizational role.
Tuition: $800
Registration Links
Please use one of the links below to register for this course.
To Pay for Seminar: Introduction to Data Literacy