What will you learn in Foundations: Data, Data, Everywhere Course
Define key data analytics concepts—including data, analysis, and data ecosystems.
Conduct a self-assessment of analytical thinking with practical examples.
Explore the roles of spreadsheets, SQL/query languages, and data visualization tools.
Understand the responsibilities and job landscape of a data analyst.
Program Overview
Module 1: Introducing data analytics and analytical thinking
⏳ 4 hours
Topics: What analytics is, data ecosystems, how data supports decisions, core analytical skills.
Hands-on: Four assignments testing foundational knowledge, plus four interactive plugins.
Module 2: The wonderful world of data
⏳ 2 hours
Topics: Data life cycle, the staged analysis process, relevant tools.
Hands-on: Five knowledge quizzes, one module challenge, plus a plugin walkthrough.
Module 3: Set up your data analytics toolbox
⏳ 3 hours
Topics: Spreadsheets, SQL basics, and introductory data visualization.
Hands-on: Chart creation in spreadsheets, quiz on SQL/viz, plus a challenge assignment.
Module 4: Become a fair and impactful data professional
⏳ 2 hours
Topics: Data analyst role, industry applications, ethics, fairness, and career strategies.
Hands-on: Assignments on analyst roles, ethics tests, interviews simulation plugin.
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Job Outlook
Prepares you for entry-level data analyst roles and supports further courses in the Google Data Analytics Certificate.
Equips you with practical tools and portfolio-worthy assignments useful in junior analyst positions.
No previous IT or analytics experience needed; ideal first step into a high-demand career path.
Specification: Foundations: Data, Data, Everywhere
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FAQs
- No prior IT or analytics experience required.
- Introduces key data concepts, analytical thinking, and data ecosystems.
- Hands-on exercises in spreadsheets, SQL, and basic visualization.
- Prepares learners for entry-level data analyst roles.
- Ideal first step into a high-demand data career path.
- Hands-on labs with spreadsheets and chart creation.
- Introductory SQL exercises and quizzes.
- Interactive modules to test analytical thinking.
- Practice tasks simulate real-world data handling scenarios.
- Builds a practical foundation for further data analytics study.
- Prepares for junior or entry-level data analyst roles.
- Supports progression into the Google Data Analytics Professional Certificate.
- Builds familiarity with essential data tools and workflows.
- Provides portfolio-worthy assignments for job applications.
- Lays groundwork for long-term career growth in analytics.
- No dedicated capstone project included.
- Each module contains quizzes, challenges, and plugin exercises.
- Encourages learners to compile assignments into a portfolio.
- Practical labs simulate foundational data analytics tasks.
- Supports showcasing skills for future learning or employment.
- Total course duration is ~11 hours across four modules.
- Modules range from 2–4 hours, including hands-on exercises.
- Flexible pacing allows study alongside work or other courses.
- Beginners may require extra time to complete interactive labs.
- Most learners complete the course in 1–2 weeks with focused effort.
