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Google Data Analytics

Google / Google-DA

Build the skills for your next mission.

This foundational certification course, offered by Google, provides a comprehensive introduction to the principles and practices of data analytics, equipping individuals with the essential skills to transform raw data into actionable insights.

Google Data Analytics certification tile on a dark circuit background with a luminous brain

Course objectives

Build practical skills across the key domains covered in Google Data Analytics (Google-DA).

Foundations of Data AnalyticsExplain the stages of the data analysis process (Ask, Prepare, Process, Analyze, Share, Act).
  • Explain the stages of the data analysis process (Ask, Prepare, Process, Analyze, Share, Act).
  • Differentiate between qualitative and quantitative data, and structured and unstructured data.
  • Identify the key responsibilities and skills of a data analyst.
  • Describe the importance of data-driven decision-making.
  • Understand the ethical considerations and privacy concerns in data analysis.
Data Preparation and CleaningIdentify and address common data inconsistencies and errors.
  • Identify and address common data inconsistencies and errors.
  • Perform data formatting and transformation using spreadsheets.
  • Handle missing values and outliers in datasets.
  • Explain the importance of data validation and verification.
  • Apply basic data cleaning techniques in SQL.
Data Analysis with Spreadsheets and SQLUtilize advanced spreadsheet functions (e.g., VLOOKUP, pivot tables, conditional formatting) for data analysis.
  • Utilize advanced spreadsheet functions (e.g., VLOOKUP, pivot tables, conditional formatting) for data analysis.
  • Write basic SQL queries to retrieve, filter, and sort data.
  • Perform data aggregation and grouping using SQL (e.g., COUNT, SUM, AVG, GROUP BY).
  • Join multiple tables in SQL to combine data from different sources.
  • Create and interpret pivot tables and charts in spreadsheets.
  • Apply filtering and sorting techniques in both spreadsheets and SQL for data exploration.
Data Visualization and CommunicationChoose appropriate chart types for different data types and analytical goals.
  • Choose appropriate chart types for different data types and analytical goals.
  • Design effective and clear data visualizations using visualization tools (e.g., Tableau, Google Looker Studio).
  • Interpret and explain insights derived from data visualizations.
  • Develop compelling data stories to communicate findings to stakeholders.
  • Understand the principles of effective dashboard design.

Find your DoD 8140 pathway

Explore how this training may align to DoD 8140 work roles and proficiency levels.

Verify mapping against the current official matrix.View authoritative source V2.1 · 2025-09-19

About this course

This foundational certification course, offered by Google, provides a comprehensive introduction to the principles and practices of data analytics, equipping individuals with the essential skills to transform raw data into actionable insights. Through a blend of theoretical concepts and practical application, participants will learn the end-to-end data analysis process, from data collection and cleaning to analysis, visualization, and reporting. The curriculum emphasizes critical thinking, problem-solving, and effective communication of data-driven findings, preparing learners to make informed decisions and contribute to data-driven strategies within any organization.

Training alone does not establish DoD 8140 qualification. Confirm position-specific requirements with your organization.

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