Make a change

Make a change

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Lesson details

Key learning points

  1. In this lesson, we will complete work through the final steps of the PPDAC cycle (analysis and conclusions) and by the end of the lesson we will have used data to make a case for positive change where we live.

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3 Questions

Q1.
What is the correct term for detecting and correcting, or removing, corrupt or inaccurate data.
Data cleaning
Correct answer: Data cleansing
Data investigation
Data validity
Q2.
In which step of the cycle would you cleanse the data?
Analysis
Correct answer: Data
Plan
Problem
Q3.
In which step of the cycle would you work out where the data will come from or how you will collect it?
Analysis
Data
Correct answer: Plan
Problem

5 Questions

Q1.
Which of the following is the most accurate definition of data science?
Correct answer: Data science is extracting meaning from large data sets in order to provide insights to support decision-making.
Data science is performing experiments and recording the data produced by those experiments.
Data science is using computers to analyse data and to perform calculations on the data to produce information.
Data science is writing code to make sure that any inaccuracies in data sets are spotted and removed (cleaned).
Q2.
What is meant by a correlation?
Correct answer: The relationship between two or more variables.
When data is placed in a graph.
When there is a set of data that doesn’t lie in the normal or expected range.
When there is an upward trend in a graph.
Q3.
Which of the following is the correct order of the investigative cycle?
Conclusion, plan, problem, data, analysis.
Plan, problem, analysis, data, conclusion.
Problem, data, plan, analysis, conclusion.
Correct answer: Problem, plan, data, analysis, conclusion.
Q4.
In which step of the cycle would you pose the question(s) that you will use data to help you answer?
Analysis
Data
Plan
Correct answer: Problem
Q5.
In which step of the cycle would you cleanse the data?
Analysis
Correct answer: Data
Plan
Problem

Lesson appears in

UnitComputing / Data Science

Computing