Data Literacy for Beginners

An outline of this training course

The Data Literacy course provides participants with a comprehensive introduction to the fundamental concepts and practical skills needed to navigate the world of data effectively. The course is designed to equip learners with the knowledge and tools necessary to collect, manage, analyze, visualize, interpret, and communicate data.

Throughout the course, participants will explore the importance of data literacy in today's data-driven society and gain a clear understanding of key terms and concepts in the field. They will learn how to identify and gather data from various sources, apply data cleaning techniques to ensure data quality, and gain insights through descriptive statistics and data analysis. The course also delves into the art of data visualization, teaching participants techniques for presenting data in a compelling and visually engaging manner. Furthermore, participants will develop skills in interpreting data, drawing meaningful insights, and effectively communicating their findings through storytelling techniques.

By the end of the course, participants will have a solid foundation in data literacy, enabling them to confidently navigate the data landscape, make informed decisions, and effectively communicate their findings to a wide range of audiences. Whether for personal or professional use, this course equips learners with the essential skills needed to become data literate and harness the power of data in their everyday lives.

What are 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 during 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