Breaking into a data career typically requires proficiency in four pillars: spreadsheets (Excel), SQL, visualization tools (Tableau or Power BI), and scripting languages (Python or R). The post suggests focusing on Excel for entry-level roles, with additional recommendations for learning SQL basics, creating standard charts in visualization tools, and understanding programming essentials in scripting languages.
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The Four Pillars of a Data CareerIntroExcelSQL and DatabasesVisualizationScripting LanguageGeneral adviceCertificationsPassing technical interviewsResourcesAbout the AuthorSort: