Introduction Data Science Terminology

Question 1

CRISP-DM

Answer 1

Cross-industry standard process for data mining

Question 2

CRISP-DM

6 steps

Answer 2

Business Understanding

Data Understanding

Data Preparation

Modeling

Evaluation

Deployment

Question 3

KDD (Knowledge Discovery in Databases)

Process

Answer 3

Data 
--> Selection
Target Date
--> Preprocessing
Preprocessed Data
--> Transformation
Transformed Data
--> Data Mining
Patterns
--> Interpretation/ Evaluation
Knowledge

Question 4

PDCA

Answer 4

PDCA (Plan–Do–Check–Act)

methodology by William Deming

Question 5

DMAIC

Answer 5

DMAIC (Define, Measure, Analyze,
Improve and Control) methodology
used in Six Sigma projects

Question 6

Extract, Transform, Load (ETL)

Answer 6

IS
--> extract
raw data
--> transform
data warehouse (predefined structure)
--> load
analytics

Question 7

Extract, Load, Transform (ELT)

Answer 7

IS
--> extract & load
transform (data lake raw data & prepared data on demand)
-->
analytics

Question 8

Another 80/20 rule

Answer 8

• 80% of the data scientist’s time is spent on finding,
cleaning, preprocessing and organizing data, leaving
only 20% to actually perform an analysis.

• However, the 20% effort determines 80% of the final
result.