Data science
Lesson details
Learning outcome
I can describe data science and explain how data is used to make decisions.
Key learning points
- Data science is used to make smarter decisions.
- Data scientists analyse data to find patterns and discover useful information.
- Data can be cleaned and organised to make it more useful.
- Data can be biased if it doesn’t represent everyone fairly.
Keywords
Analyse - to look at something carefully to understand it better
Data pattern - a recurring trend, relationship, or structure found within a set of data
Data cleaning - the process of detecting and correcting, or removing, corrupt or inaccurate data from a data set
Data bias - when data is unfair or unbalanced, which can lead to wrong or unfair results
Common misconception
Data science is just about collecting loads of data.
Data science isn’t just about gathering data, it’s about understanding data and using it to make decisions or discoveries.
Teacher tip
Use real-world relatable examples with learners. Ask them to consider how managers decide on which players to choose for their favourite sports team or how a streaming service knows what shows to recommend.
Licence
Lesson video
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Prior knowledge starter quiz
6 Questions
Q1.What do we call an electronic component that carries out a logical operation?
Q2.What is the output of an OR gate if at least one input is true?
Q3.Which logic gate gives a true output only if both inputs are true?
Q4.What is the word for a value that can only be true or false?
Q5.What do we call the chart that shows every possible combination of inputs and outputs for a logic rule?
Q6.Put these actions in order for completing a truth table for an OR gate:
Assessment exit quiz
6 Questions
Q1.What is the main purpose of data science?
Q2.What does it mean to analyse data?
Q3.What is data cleaning?
Q4.Put these steps in order for using data in a science project:
Q5.What do we call a recurring trend or structure found in data?
Q6.Match each keyword to its meaning:
to look at something carefully to understand it
a recurring trend or structure in data
fixing or removing mistakes in data
when data is unfair or unbalanced
To help you plan your 8 computing lesson on: Data science, download all teaching resources for free and adapt to suit your pupils' needs...
To help you plan your 8 computing lesson on: Data science, download all teaching resources for free and adapt to suit your pupils' needs.
The starter quiz will activate and check your pupils' prior knowledge, with versions available both with and without answers in PDF format.
We use learning cycles to break down learning into key concepts or ideas linked to the learning outcome. Each learning cycle features explanations with checks for understanding and practice tasks with feedback. All of this is found in our slide decks, ready for you to download and edit. The practice tasks are also available as printable worksheets and some lessons have additional materials with extra material you might need for teaching the lesson.
The assessment exit quiz will test your pupils' understanding of the key learning points.
Our video is a tool for planning, showing how other teachers might teach the lesson, offering helpful tips, modelled explanations and inspiration for your own delivery in the classroom. Plus, you can set it as homework or revision for pupils and keep their learning on track by sharing an online pupil version of this lesson.
Explore more key stage 3 computing lessons from the Computer systems and data science unit, dive into the full secondary computing curriculum, or learn more about lesson planning.