One drawback of working for so long in the data industry is that I often misjudge what people think about when they think about data. Particularly, I've observed a common misunderstanding about ...

The design of your study, the research questions you’ve posed, and types of data you’ve collected (e.g., quantitative, qualitative) are important considerations in determining the data analysis and ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

Improving your data analysis and result presentation skills is essential for making data-driven decisions and effectively communicating insights. Mastering these skills involves a systematic approach ...

The world runs on data. A hallmark of successful businesses is their ability to use quality facts and figures to their advantage. Unfortunately, data rarely arrives ready to use. Instead, businesses ...

In the fast-paced world of financial services, data analysis plays a crucial role in solving complex business problems and extracting valuable insights. Excel, a powerful and versatile tool, has ...