Course Content

    1. How to use this course

    2. Before we begin...

    3. Getting to Know each other: Our Stories Begin Here

    1. Lesson 1: What is Data?

      FREE PREVIEW

    2. Lesson 1: Practice Quiz

    3. Lesson 2: The Value of Data

    4. Lesson 2: Practice Quiz

    1. Data Wisdom

    2. Practice Quiz

    3. Data in Decision Making

    4. Practice Quiz

    5. Data Ethics and Privacy

    6. Practice Quiz

    1. Data Life Cycle

    2. Practice Quiz

    3. Common Data Mistakes

    4. Practice Quiz

    1. Course Wrap Up!

About this course

  • £19.99
  • 18 lessons
  • 0.5 hours of video content
  • English

What You Will Learn

  • Data Types and Structures: Understand different data types, structures, and their importance in organizing information for decision-making.

  • Data-Driven Decision Making: Learn how to analyze and use data effectively to make informed, data-driven decisions.

  • DIKW Model (Data, Information, Knowledge, Wisdom): Explore this framework and understand how raw data transforms into actionable insights.

  • Data Ethics and Privacy: Study the importance of ethical data usage and privacy regulations in today’s data-driven world.

  • Data Life Cycle: Learn the stages of the data life cycle and best practices for managing data from collection to analysis.

  • Avoiding Common Data Mistakes: Identify frequent errors in working with data and strategies to avoid them for more accurate outcomes.

Who Is This Course For?

  • Beginners in Data Science and Analysis

    Perfect for individuals with little to no prior experience in data, who want to build a foundational understanding of data concepts and practices.

  • Business Professionals and Decision Makers

    Ideal for professionals seeking to improve their data literacy to make more informed decisions, optimize processes, and enhance performance.

  • Students and Career Switchers

    Designed for students or individuals transitioning into data-related fields who need a strong grasp of essential data concepts for career growth.