Curriculum

  • 4 Sections
  • 9 Lessons
  • Lifetime
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  • 📘 Section 1: What is Data Science?
    3
    • 1.1
      Understanding the Data Landscape
    • 1.2
      How Data Drives Decisions Across Industries
    • 1.3
      Common Roles: Analyst, Scientist, Engineer
  • 📗 Section 2: Getting Started with Data
    3
    • 2.1
      The Basics of Working with Data
    • 2.2
      Using Spreadsheets & Python: A Simple Intro
    • 2.3
      Real-World Examples: Spotting Data in Your Job
  • 📊 Section 3: First Steps in Thinking with Data
    Maius initiis ordine metus turpius existimabit mutare luxuriae codrum animi o ruinas duxisse
    3
    • 3.1
      Asking the Right Questions
    • 3.2
      Reading Charts and Basic Visualizations
    • 3.3
      A Simple Project: Exploring Public Data
  • 📚EXAM ASSESSMENT
    This final assessment evaluates your understanding of the key concepts covered in the “Introduction to Data Science” course. It includes a mix of 15 questions designed to test your ability to recognize, apply, and reflect on foundational data knowledge.
    1
    • 4.1
      Exam Assessment Quiz for Certificate: Introduction to Data Science
      15 Questions

Introduction to Data Science

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