Data Literacy: Understanding Data in the Digital Age

Data Literacy: Understanding Data in the Digital Age, available at Free, has an average rating of 4.46, with 23 lectures, based on 14 reviews, and has 576 subscribers.

You will learn about Understand fundamental data concepts Master measures of central tendency and dispersion: Develop statistical thinking and analysis skills Prepare for real-life data challenges This course is ideal for individuals who are Beginners interested in learning how to understand and use data effectively or Professionals in any field looking to enhance their data-driven decision-making skills or Educators and students who require a foundational understanding of data literacy for academic or teaching purposes It is particularly useful for Beginners interested in learning how to understand and use data effectively or Professionals in any field looking to enhance their data-driven decision-making skills or Educators and students who require a foundational understanding of data literacy for academic or teaching purposes.

Enroll now: Data Literacy: Understanding Data in the Digital Age

Summary

Title: Data Literacy: Understanding Data in the Digital Age

Price: Free

Average Rating: 4.46

Number of Lectures: 23

Number of Published Lectures: 23

Number of Curriculum Items: 23

Number of Published Curriculum Objects: 23

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

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

Who Should Attend

Beginners interested in learning how to understand and use data effectively
Professionals in any field looking to enhance their data-driven decision-making skills
Educators and students who require a foundational understanding of data literacy for academic or teaching purposes

Target Audiences

Beginners interested in learning how to understand and use data effectively
Professionals in any field looking to enhance their data-driven decision-making skills
Educators and students who require a foundational understanding of data literacy for academic or teaching purposes

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 Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to Data Literacy

Lecture 2: What is data literacy?

Chapter 2: Basic Concepts

Lecture 1: Population and Sample

Lecture 2: Observation Unit

Lecture 3: Variable Types and Variables

Lecture 4: Scale Types

Chapter 3: Measures of Central Tendency

Lecture 1: Arithmetic Mean

Lecture 2: Median

Lecture 3: Mode

Lecture 4: Quartiles

Lecture 5: Central Tendency

Chapter 4: Measures of Dispersion

Lecture 1: Range

Lecture 2: Standard Deviation

Lecture 3: Variance

Lecture 4: Skewness

Lecture 5: Kurtosis

Chapter 5: Statistical Thinking Models

Lecture 1: Statistical Thinking Models

Lecture 2: Describing Data I

Lecture 3: Describing Data II

Lecture 4: Organizing and Reducing Data

Lecture 5: Representing Data

Lecture 6: Analysing and Interpreting Data

Chapter 6: Conclusion

Lecture 1: Recap

Instructors

Miuul Data Science & Deep Learning
Data Science Team of Miuul.com

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 2 votes
4 stars: 6 votes
5 stars: 6 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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