Today, making data-driven, rational decisions requires entrepreneurs to read and evaluate data while being aware of their own biases at work.

These resources will help develop your critical thinking skills, help you evaluate information sources and analyse and synthesis evidence.

Soft skills like communication and collaboration are key to thriving in an AI-driven workplace. Here’s how to use them to ...

When it comes writing, you will need to demonstrate the analysis and critical thinking that you have done in your reading and note making: Firstly, consider what the texts says: what are the facts, ...

Key Takeaways Interviews for data analysts test technical and business understanding.Practicing real examples helps you ...

A surface-level analysis often leads to snap judgments, but a critical approach uncovers underlying patterns. For example, an investor evaluating a stock shouldn’t rely solely on recent performance.

Mediation analysis revealed that cognitive offloading partially explains the negative relationship between AI reliance and critical thinking performance.

This course focuses on experimental design and applied statistical methods for data analysis. Students will learn how to design and interpret experiments considering multiple variables, avoiding ...

Older adults and analytical thinkers excel at discerning true from false news, while ideological biases and political identity shape misinformation susceptibility in distinct ways.