Data Literacy Fundamentals

A beginner-friendly course to acquire essential data literacy skills for the workplace. It covers mastering data terminology, discovering business insights through data analysis, and adopting a data-driven mindset.

This learning plan covers five main topics: Overview of Data Literacy, Data Foundations, Data-Informed Decision Making, Analytical Techniques, and Advanced Analytics. It offers a mixture of free and paid modules to help you on your journey to data literacy.

A beginner-level module that showcases how AI is transforming accessibility for individuals with disabilities, impacting job roles, and aiding humanitarian efforts through real-world examples.

This article argues that data literacy is a crucial prerequisite for AI literacy. It emphasizes the importance of critically interrogating data, whether qualitative or quantitative, to promote the ethical and equitable usage of AI and to understand and mitigate biases embedded in AI models.

This article emphasizes that data literacy is a critical prerequisite for successful AI implementation. It explains how a strong foundation in data literacy enables employees to source, clean, and analyze data for AI models, interpret their outputs, and ensure ethical and regulatory compliance.

This 5-course specialization is intended for professionals seeking to develop a skill set for interpreting statistical results. You will cover descriptive statistics, data visualization, measurement, regression modeling, probability and uncertainty to prepare you to interpret and critically evaluate a quantitative analysis.

Build a framework for thinking strategically about data and AI to improve organizational communication and create effective business strategies. This program will help you identify and avoid common pitfalls such as ethical concerns and unintended consequences.

This course focuses on the principles of data-driven decision-making. You will learn about data exploration, statistical inference, and how to build and interpret predictive models, including regression.

This program from UC Berkeley provides a comprehensive introduction to data science, including data wrangling and cleaning, using Python.

Python for Data Science Essential Training

Carrera de Data Science e Inteligencia Artificial

This course teaches you how to handle data with confidence. From understanding basic data concepts to mastering data collection, cleaning, and preparation, you will explore how structured and unstructured data power AI systems and delve into data ethics and governance.