Data Literacy for Beginners

Step into data mastery: Discover the essentials of data literacy! Learn to make confident decisions and navigate the world of data with ease.

1 hours
31 lessons
292 xp
SQL
SQL
Python
Python
R
R
Power BI
Power BI
Other Tools
Other Tools
Data Analysis
Data Analysis
Data Visualization
Data Visualization
Data Literacy
Data Literacy
Included in:
Data Analytics Generalist

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An outline of this training course

Unlock the power of data with our Data Literacy course, designed to equip you with essential data handling skills. Learn to collect, manage, analyze, and visually present data effectively. You'll grasp key data concepts, ensure data quality, and use storytelling to communicate insights clearly. By the end of this course, you'll confidently navigate the data landscape, make informed decisions, and share your findings across various audiences. Perfect for anyone aiming to enhance their data fluency for personal or professional growth. Join us to transform data into actionable knowledge!

 

What is needed to take this course

There are no prerequisites for this course. However, having a basic understanding of computer literacy and familiarity with basic mathematics concepts would be beneficial.

 

Who is the course for

This course is suitable for individuals who seek to enhance their data literacy skills and make informed decisions based on data.

 

Details of what you will learn in this course

By the end of this course, you will:

  • Understand the concept of data literacy and its significance.
  • Identify and utilize various sources of data effectively.
  • Apply basic techniques for data analysis and visualization.
  • Interpret data and draw meaningful insights from the analysis.
  • Effectively communicate data findings through storytelling and presentation skills.

 

What you get with the course

  • With this course, you will gain a comprehensive understanding of the subject matter, divided into eight digestible chapters.
  • The course is self-paced, allowing you to learn at your own speed and revisit the material as needed.
  • Throughout the course, you'll encounter three sets of Review Questions.  These are questions designed to reinforce your understanding and help you assess your grasp of the material.

 

Program Level

Beginner

 

Field(s) of Study

Computer Software & App

 

Instruction Delivery Method

QAS Self-study

 

***This course was published in June 2023

 

Enterprise DNA is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org

What our

Students Say
Curriculum
1

Course Overview

2

Introduction

3

Collecting and Managing Data

4

Analyzing and Visualizing Data

5

Interpreting and Communicating Data

6

Conclusion and Next Steps

Your

Instructor
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Sam McKay

CEO & Founder

Sam McKay

CEO & Founder, Enterprise DNA

Sam is the Founder of Enterprise DNA and a leading voice in data and AI transformation. He helps professionals and organizations become ‘Full Stack AI Professionals’ capable of mastering data, building intelligent tools, and driving innovation at scale.

Through platforms like EDNA Learn, Data Mentor, AI Builders, and KnowCode, Sam empowers teams to thrive in the AI-driven future. His mission: to democratize advanced analytics and make real-world AI application accessible to all.

He’s a strong advocate for practical, hands-on learning and believes AI is unlocking a wave of opportunity for builders, creators, and problem-solvers worldwide.

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