Kids learn data science by collecting and analyzing data. Information, choices, and options are selected data. Data science uses strategic data analysis to solve challenges.
To explain data science to kids, teachers must employ specific strategies and explain the concept using simple, relative terms for kids. Data science explained for kids is the process of breaking down terms and concepts related to data science, for kids to grasp it easily.
Data identification is simply identifying information relevant to a particular subject. On the other hand, data collection means gathering enough data to serve as the target data for a subject.
Data segregation involves the separation of relevant and verifiable data from the total amount you have received.
You can explain data segregation to kids by instructing them to sort out the scattered puzzles accordingly.
Data patterns are commonalities and patterns in data. Visualization analyzes data using visuals. Data science requires critical thinking from pattern recognition.
Not all relevant data or patterns are useful at a particular time. This is where data forecasting comes in data forecasting is the ability of a person to identify when to use a particular data.
Kids can learn data science because it allows them to understand how the data and numbers tell a story. Kids ages 6 and up can start understanding how to graph and trend data.