6 Phases of Google's data analysis

6 phases of Google'S Data analysis

prepare

ASK

process

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Objective: metrics to measure, locate data in the database Skills learned: ethical data analysis, bias & credibility of data, SLQ's introduction

Objective: problem-solving, define the business problem & involved stakeholdersSkills learned: SMART questions, communications

Objective: data cleaning, determine data bias, make data more consistent Skills learned: clean data with Spreadsheet & SQL, documentating

share

act

analyze

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Objective: communicating findings effectively, data-driven storytelling Skills learned: design thinking, Tableau, visualization data, dashboards

Objective: what stories data's telling?, reveal gaps & opportunities Skills learned: perform calculations, SQL, substantiating data analysis processes

Objective: providing reccomendations & data-driven business decisions Skills learned: structured thinking, analyze data using R (using R to perform 6 analyzing steps)

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