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Data-Driven Decision Making Course Overview

Apr 11, 2025

Ask Questions to Make Data-Driven Decisions - Course Overview

Course Details

  • Part of: Google Data Analytics Professional Certificate
  • Instructor: Google Career Certificates
  • Level: Beginner
  • Duration: Approx. 15 hours
  • Flexibility: Learn at your own pace
  • Completion: Certificate available

Key Learning Outcomes

  • Understand the problem-solving roadmap in data analysis.
  • Learn how data supports decision-making.
  • Use spreadsheets for basic data analytics tasks.
  • Grasp structured thinking and its importance in data analysis.

Skills Acquired

  • Data analysis techniques
  • Spreadsheet software proficiency

Course Modules

1. Ask Effective Questions

  • Duration: 13 hours
  • Objective: Learn questioning techniques to guide analysis.
  • Content:
    • Videos, readings, assignments, and plugins focused on problem-solving and effective questioning.
    • Emphasis on SMART questions and structured problem types.

2. Make Data-Driven Decisions

  • Duration: 22 hours
  • Objective: Use data for decision-making and learn data presentation skills.
  • Content:
    • Videos, readings, assignments on data types, metrics, and visualization tools.
    • Importance of dashboards and data empowerment.

3. Spreadsheet Magic

  • Duration: 37 hours
  • Objective: Master spreadsheets as a tool for data analysis.
  • Content:
    • Learn about spreadsheet functionalities, formulas, and structured thinking.
    • Hands-on activities and challenges related to data tasks in spreadsheets.

4. Always Remember the Stakeholder

  • Duration: 42 hours
  • Objective: Balance team and stakeholder needs.
  • Content:
    • Videos, readings, and assignments focused on communication strategies and stakeholder management.
    • Emphasizes on collaboration and meeting best practices.

Instructor and Course Ratings

  • Instructor Rating: 4.8/5 from learners
  • Course Rating: 4.7/5 based on 33,649 reviews
  • Feedback: Highly rated for teaching style and practical applications.

Enrollment Details

  • Prerequisites: None required, ideal for beginners.
  • Tools: Google Sheets, Microsoft Excel, SQL, Tableau, etc.
  • Language: English, with 15 language options for instruction.

FAQs

  • Why Data Analytics?: High demand for data analysts due to increasing data generation.
  • Why Google Data Analytics Certificate?: Provides comprehensive skills for junior data analyst roles, including case studies for job readiness.
  • Math Requirements: Basic high-school level math is sufficient; curiosity is key.
  • Course Tools: Offers flexibility in choosing tools like Google Sheets, Microsoft Excel.
  • Course Access: Options for free audit or paid certificate experience.
  • Refund Policy: 7-day free trial with subscription options.