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Introduction to data literacy

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Introduction to data literacy
This course is in the base subscription pack
Category
Ethics and Conduct
Course Duration
0:35
Subject Matter Expert
Interaction Training
Provider
Interaction Training
Countries
AU
ESG Course
Blog
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Suite
ready2work Personal Development
Endorser

This course provides a foundational understanding of data literacy, emphasising its significance in today's data-driven world. Understand how to extract valuable insights from data, transforming it into meaningful information that supports informed decision-making and problem-solving. We also look at ethical considerations and the importance of data privacy and security.

Target Audience

All titles in our ready2work Personal Development range are tailored for individuals of all professional backgrounds and experience levels, offering essential skills in a wide array of everyday situations and settings. Whether you're just starting out in your professional journey or looking to take your career to the next level, this range is designed to equip you with skills and strategies to achieve your career goals.

Learning Outcomes

Gain insight into the significance of data literacy and its role in understanding data, information, and insights. Explore various data sources, collection methods, and techniques for data analysis, including descriptive statistics, data visualisation, and correlation vs. causation. Learn effective data presentation and communication strategies.

Topics include: Introduction to Data Literacy: The Significance of Data Literacy - Understanding Data, Information, and Insights - Ethical Considerations - Data Sources and Collection - Quantitative and Qualitative Data - Primary and Secondary Data - Options for Collection - Data Quality and Validity - Data Analysis and Interpretation - Descriptive Statistics - Data Visualisation - Correlation and Causation - Extracting Meaningful Insights - Data Presentation and Communication - Effective Data Storytelling - Data Privacy and Security - Handling Sensitive Data – Presenting – Privacy Regulations – Sensitive Data - Anonymization and De-identification - Data-Driven Decision Making - A/B Testing and Experiments - Evaluating the Impact of Decisions - Data Tools and Technologies.

Contextualised Content

Data, Literacy, Ethics, Sources, Collection, Analysis, Visualization, Privacy, Security, Decision-Making, Statistics, Correlation, Causation, Anonymisation, Interpretation, Understanding, Communication, Informed