Glossary terms from module $1$

Terms and definitions for Course $2,$ Module $1$

Action$-$oriented question: A question whose answers lead to change

Cloud: A place to keep data online, rather than a computer hard drive

Data analysis process: The six phases of ask, prepare, process, analyze, share, and act whose purpose is to gain insights that drive informed decision$-$making

Data life cycle: The sequence of stages that data experiences, which include plan, capture, manage, analyze, archive, and destroy

Leading question: A question that steers people toward a certain response

Measurable question: A question whose answers can be quantified and assessed

Problem types: The various problems that data analysts encounter, including categorizing things, discovering connections, finding patterns, identifying themes, making predictions, and spotting something unusual

Relevant question: A question that has significance to the problem to be solved

SMART methodology: A tool for determining a question$$s effectiveness based on whether it is specific, measurable, action$-$oriented, relevant, and time$-$bound

Specific question: A question that is simple, significant, and focused on a single topic or a few closely related ideas

Structured thinking: The process of recognizing the current problem or situation, organizing available information, revealing gaps and opportunities, and identifying options

Time$-$bound question: A question that specifies a timeframe to be studied

Unfair question: A question that makes assumptions or is difficult to answer honestly