In this assignment, you will be asked to identify a real$-$world problem that could be solved using data science techniques and the CRISP$-$DM $.$ Please note that this assignment follows the CRISP$-$DM process for data mining, which is a widely used methodology for approaching data science problems. It does not require programming or technical skills, but it requires you to think critically about predicting customer churn for a telecommunications company

Business Understanding: Identify a real$-$world problem that could be solved using data science techniques and define the objectives of the analysisIn this assignment, you will be asked to identify a real$-$world problem that could be solved using data science techniques and the CRISP$-$DM framework we defined in Week $1.$ Please note that this assignment follows the CRISP$-$DM process for data mining, which is a widely used methodology for approaching data science problems. It does not require programming or technical skills, but it requires you to think critically about real$-$world problems and potential solutions using data science techniques. It also allows you to develop communication skills by summarizing technical concepts for a general audience.

to complete this assigment

A$-$Business Understanding: Identify a problem Like predicting customer churn for a telecommunications company that could be solved using data science techniques and define the objectives of the analysis

B$-$Data Understanding: Research potential data sources for the problem and evaluate their suitability for analysis. Consider the size and complexity of the data as well as any limitations or biases that may exist. I want from you to provide me with your source to get this data