The Google Data-Driven Decision Making Certificate is a beginner-friendly program designed to help learners use data and AI to make confident, informed business decisions. This Specialization focuses on building analytical thinking skills, asking the right questions, and translating complex data into clear, actionable insights.
Guided by Google experts, learners gain hands-on experience with spreadsheets, data visualization techniques, and generative AI tools. The program also emphasizes data integrity, bias, ethics, and responsible data use—essential skills for real-world business and organizational decision-making.
Estimated Time to Complete
Approximately 3–4 months, with flexible, self-paced learning
Why Take This Course?
📊 Make Better Business Decisions – Use data and AI to support real-world decision-making.
🧠 Think Like an Analyst – Develop structured and analytical thinking skills.
🗣 Influence Stakeholders – Present insights clearly and persuasively.
📈 Work with Real Tools – Practice using spreadsheets, dashboards, and visualization techniques.
🌍 Fully Online & Flexible – Learn anytime, anywhere at your own pace.
What You’ll Learn
✔ How to ask effective questions that drive meaningful analysis.
✔ How to analyze and interpret data using structured thinking frameworks.
✔ How to identify bias, ensure data integrity, and apply ethical data practices.
✔ How to visualize data and communicate insights clearly.
✔ How to use AI tools responsibly to support analysis and presentations.
✔ How to apply data-driven decision-making in real business contexts.
Course Modules & Skills Gained
📌 Course 1: Fast-Track Data Analysis and Presentations
• Use structured prompting to extract insights from data.
• Apply spreadsheet formulas and build data visualizations.
• Use AI tools to support presentations and speaker preparation.
• Understand AI sampling parameters and responsible prompting practices.
📌 Course 2: Always Remember the Stakeholder
• Apply best practices for communication and collaboration.
• Manage stakeholder expectations and team relationships.
• Balance speed, accuracy, and data limitations in time-sensitive requests.
📌 Course 3: Ask Effective Questions
• Explore problem-solving in data analysis through real-world scenarios.
• Identify common problem types faced by data analysts.
• Practice effective questioning techniques to guide analysis.
📌 Course 4: Visualize Data
• Understand key data visualization principles and design thinking.
• Use visualizations to communicate insights effectively.
• Address accessibility considerations in data visualization.
📌 Course 5: Data Responsibility
• Identify bias and assess data credibility.
• Understand different types of bias and how they affect analysis.
• Explore data ethics, data privacy, and open data concepts.
• Apply responsible data practices, including anonymization and accessibility.
📌 Course 6: Introducing Data Analytics and Analytical Thinking
• Understand the role of data in everyday and business decisions.
• Learn the phases of the data analysis process: ask, prepare, process, analyze, share, and act.
• Develop analytical thinking skills and question assumptions.
• Understand data ecosystems and data-driven decision-making concepts.
📌 Course 7: The Importance of Integrity
• Define and assess data integrity and associated risks.
• Identify common data cleaning pitfalls.
• Document data cleaning processes effectively.
• Address challenges related to insufficient or incomplete data.
📌 Course 8: Develop Presentations and Slideshows
• Build clear and persuasive data presentations.
• Address questions, objections, and data limitations confidently.
• Differentiate between strong and weak presentation content.
📌 Course 9: Make Data-Driven Decisions
• Compare data-driven and data-inspired decision-making approaches.
• Work with qualitative and quantitative data.
• Understand metrics, dashboards, and reporting tools.
• Apply mathematical thinking to identify patterns and solve problems.
Who Should Enroll?
This course is ideal for:
✅ Beginners interested in data-driven business decision-making.
✅ Students and professionals working with data, reports, or dashboards.
✅ Managers and analysts who want to improve analytical thinking skills.
✅ Anyone looking to use data and AI to influence decisions effectively.
📌 No prior experience is required.