Google Data Analytics_coursera (update: 22-Jul-2024)

Google Data Analytics

The process to do data analysis in order to drive the decision.

• Foundations

• Ask

• Ask the questions that we would like to be solved

• The question that would improve the current situation

• Ask question to define the problem

• Prepare

• Set the timeline and collecting the data

• Process

• Cleaning the data

• Checking the information

• Analyze

• Finding the pattern in data

• Finding the relationships and trends in data

• Share

• provide information of analysis

• Act

• make decision

• Use the analysis results

• Capstone

Dimension of data analytics – there are three; pick one that is suit to the personality

• Machine learning – care about the model construction

• Statistic – using the number to describe the data

• Analytic – make sure either the model or interpretation makes sense

Subject matter expert – a person who oversees whether the data analytic makes sense in the specific field.

Life cycle of data analytic proposed by SAS

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Below is the information that I copied from Coursera to remind myself of the principle of data analysis.