# Data Science jargon buster – for Data Scientists

Bamboozled. That’s your customers’ reaction to the Data Scientists in your organisation. Data Scientists need to communicate without jargon so customers understand, believe and care about their recommendations. Here is a Data Science jargon buster to help.

Data Science is a technical field that applies scientific rigour to the understanding of business data and the associated processes and products. Like traditional science, it can be full of jargon that leads to unclear business messages and a failure of findings to be understood and acted upon. Having reviewed countless Data Science reports and presentations that are not ready for business readers, I thought it would be useful to provide a list of business terms to replace Data Science jargon.

## Data Science Jargon Buster

Term | Data Science Jargon | Business term |
---|---|---|

1 | Factor, independent variable | Inputs |

2 | Dependent variables | Metrics, KPIs, Outcomes |

3 | Montonically increasing | Always increasing |

4 | Clustering | Grouping |

5 | Classification | Labelling |

6 | Regression | Prediction |

7 | Correlation | Relation, association |

8 | Null hypothesis | Hypothesis |

9 | Type I error | False positives, wrong predictions |

10 | Type II error | 'Under the radar', Failed to identify |

11 | Specificity | Avoiding false positives |

12 | Sensitivity | Probability of detection |

13 | Harmonic mean,geometric mean, arithmetic mean | Average |

14 | Standard deviation | Variability |

15 | Confidence interval | Uncertainty |

16 | Experiment | Trial |

17 | ROC Curve | Trade off between correct predictions and incorrect predictions |

18 | Trivial | Never say this |

19 | Principal components analysis | Problem simplification, input reduction |

20 | Random forest | Decision tree |

21 | Exponentially decaying | Fast drop-off |

22 | R squared | Quality |

23 | Normal/Gaussian distribution | Bell shaped distribution |

24 | Response surface | Scenarios |

25 | Multimodal | Several populations |

26 | Centroid | Centre |

27 | Null | Missing |

28 | Redundant | Unnecessary |

29 | a priori | Before |

30 | post hoc | After |

## Eradicating Data Science jargon from your team

Do you have some jargon you would like to eradicate from your team? Get in touch! Let’s build this list together.

This post is inspired by a recent talk at our office by the always entertaining and informative David Reed, currently at DataIQ. David cited a speaker (the name escapes me) who had put together a similar lookup from Data Science jargon to business terms that business users understand.

## 1 Comment

## Leave your reply.