Risk-Analysis

Data Science and Statistics for Everyday Decisions Data science and statistics are practical tools for daily life. They help you make smarter choices with simple information, from grocery bills to time management. You do not need a lab or a big dataset to start. A small, honest look at what you already measure can improve decisions. You will find three ideas especially useful: uncertainty, sample size, and bias. Uncertainty means numbers are never perfect; they come with a range you can use. Small data can be useful, but it can also mislead if the sample is not representative. Bias is any preference that shifts how we collect or read data. ...

Threat intelligence lifecycle and sources Threat intelligence helps security teams see risks before they act. The lifecycle connects data from many sources to practical decisions. A clear process helps teams avoid analysis overload and speeds up detection and response. Key stages guide work and collaboration. Planning sets goals and risk priorities. Collection pulls data from multiple sources. Processing normalizes formats and removes duplicates. Analysis turns raw data into usable intelligence. Dissemination shares insights with the right people. Feedback closes the loop, so lessons are kept for future work. ...