Udemy

Data Literacy: Understanding Data in the Digital Age

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  • 1,331 Students
  • Updated 6/2024
4.5
(46 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
1 Hour(s) 43 Minute(s)
Language
English
Taught by
Miuul Data Science & Deep Learning
Rating
4.5
(46 Ratings)
2 views

Course Overview

Data Literacy: Understanding Data in the Digital Age

Unlock the power of data!

Welcome to Miuul's "Data Literacy," a course designed to empower you with the fundamental skills needed to understand and work with data effectively. As we navigate a world increasingly driven by data, the ability to read, analyze, and communicate data is becoming an essential skill for everyone. This course is perfect for students, professionals, or anyone looking to enhance their decision-making and problem-solving abilities through data.

What You'll Learn

  • Understanding Data Literacy: Grasp what data literacy means and why it is critical in today’s data-driven world.

  • Core Concepts: Learn about population and sample, observation units, variable types, and scale types.

  • Measures of Central Tendency and Dispersion: Dive deep into concepts like mean, median, mode, and quartiles, and explore variability through range, standard deviation, variance, skewness, and kurtosis.

  • Statistical Thinking: Develop a statistical mindset with modules on data description, organization, reduction, representation, analysis, and interpretation.

Why Choose This Course

  • Backed by Miuul: This course is created by Miuul, an innovative education and technology company with a focus on preparing individuals for the jobs of the future. Miuul not only educates but also provides consultancy services for data science projects, ensuring real-world relevance and updated curricula.

  • Designed for Beginners: No prior experience with statistics or data handling is required.

  • Comprehensive Learning: Covers all foundational aspects of data literacy to prepare you for more advanced studies or professional tasks.

Course Content

  • 6 section(s)
  • 23 lecture(s)
  • Section 1 Introduction
  • Section 2 Basic Concepts
  • Section 3 Measures of Central Tendency
  • Section 4 Measures of Dispersion
  • Section 5 Statistical Thinking Models
  • Section 6 Conclusion

What You’ll Learn

  • Understand fundamental data concepts
  • Master measures of central tendency and dispersion:
  • Develop statistical thinking and analysis skills
  • Prepare for real-life data challenges


Reviews

  • S
    Sharmi Amala
    5.0

    Very informative and clear presentation, straight to the point. Great course.

  • E
    Eliel Imran Sale
    5.0

    Straight-forward Content and very engaging Calm and intuitive voice as well, a very nice course

  • C
    Ciaron
    5.0

    Putting life into theory. Very engaging.

  • K
    Kelly H. Scott
    5.0

    Interesting and easy to consume

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