Google Data Analytics Professional Certificate

Core data analytics concepts and vocabulary, an analytical thinking self-assessment, and how spreadsheets, SQL, and Tableau support the data analysis process. (Course 1)

The problem-solving roadmap, using data in decision-making, spreadsheet basics for entering and organizing data, and structured thinking. (Course 2)

Factors to consider when collecting data, biased vs. unbiased data, how databases function, and best practices for organizing data. (Course 3)

Types of data integrity and risk, basic SQL functions for cleaning string variables, building SQL queries, and verifying data cleaning results. (Course 4)

Organizing data with sorts and filters, converting and formatting data, SQL queries across multiple tables, and spreadsheet functions for calculations. (Course 5)

Using visualizations to communicate results, Tableau as a visualization tool, data-driven storytelling, and effective presentation practices. (Course 6)

How data professionals use Python, basic syntax and semantics, loops and control statements, string manipulation, and core data structures. (Course 7)

Applying the full data analysis process to a real case study and building a portfolio piece for recruiters, plus AI-assisted skills across cleaning, formulas, visualization, and code. (Course 8)

Using tools like Career Dreamer and Gemini to explore roles, organize applications with Google Sheets, build a resume and search plan, and prep for interviews. (Course 9) — completed earlier within the Google Project Management certificate; the same course counts toward any Google program that includes the job search course, so it carries over here.