CRISP-DM

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Lesson 1: What is a digital footprint?

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Problem Should Drive Data Selection

CRISP-DM

Data Modelling

Easy to use

Efficient

Mathematically sound

Succint

Data Preparation

Format the data

Construct data

Clean the data

Integrate Data files

Select Relevant Data

Data Understanding

Verify Data Quality

Missing Values

Errors in Data

Correctness

Completeness of Data

Explore Data

Describe Data

Data Dictionary

Collection of Relevant Data

Semi Structured

Unstructured

Structure

Data Evaluation

Data Testing

Data Deployment

Business Value

Business Understanding

Goals of Data Analysis

Business Objectives