Data Literacy

Author: Calculated Systems; Difficulty: Beginner; Description: This course explores data sources and formatting, and how to present data in a way that provides meaningful information.; Duration: Up to 2 hours and 17 minutes; Content Topics: Machine Learning; This learning path has: 2 Courses, 1 Exam, 1 Hands-on lab

Difficulty: Beginner; Description: This course examines the current landscape of data ethics and explores how to approach the creation of a corporate data ethics framework.; Duration: Up to 46 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: Beginner; Description: An introduction to consumer centricity - how to gain a better understanding of your audience, and how this should inform business decision making.; Duration: Up to 49 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: Intermediate; Description: This course provides actionable advice for conducting data projects, and for using the insights generated to inform data-driven decision making.; Duration: Up to 52 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: Beginner; Description: We explore the benefits of effective data visualization, the different types of graphs that are typically involved, and how to interpret data visualizations you; Duration: Up to 43 minutes; This learning path has: 3 Courses, 2 Exams

Difficulty: Beginner; Description: In this course, we explore what data storytelling is, how to put together an effective data story, and the benefits of this approach.; Duration: Up to 44 minutes; This learning path has: 4 Courses, 2 Exams

Author: Calculated Systems; Difficulty: Beginner; Description: Learning the basics of how to work with data with data sources, formats, databases, and SQL.; Duration: Up to 12 hours and 2 minutes; Content Topics: SQL; This learning path has: 2 Courses, 1 Exam, 3 Hands-on labs

Author: Calculated Systems; Difficulty: Beginner; Description: This course gives you a solid understanding of the pros and cons of spreadsheets vs. databases and when to choose one over the other.; Duration: Up to 3 hours and 22 minutes; Content Topics: Amazon Web Services; This learning path has: 1 Course, 1 Exam, 2 Hands-on labs

Difficulty: Intermediate; Description: In this course we consider best practices in using data and insights to deliver tangible value back to the business and create a competitive advantage.; Duration: Up to 48 minutes; This learning path has: 3 Courses, 2 Exams

Difficulty: Beginner; Description: In this course, we explore the different types of data that businesses make use of and look at all the ways it can be collected, stored and analyzed.; Duration: Up to 54 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: Beginner; Description: An overview of why data analytics is an essential capability for businesses, and an introduction to the key methods and principles of the discipline.; Duration: Up to 46 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: Intermediate; Description: A guide to designing, building and operationalizing a data strategy that unlocks the huge potential of data in achieving overall business goals.; Duration: Up to 46 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: Intermediate; Description: In this course, we examine how to create compelling data stories grounded in solid insights that will strengthen your organization’s ability to make data-driven; Duration: Up to 52 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: Beginner; Description: This course explores the pivotal role a customer centric approach plays in enhancing customer experience and, as a result, gaining a competitive business advant; Duration: Up to 45 minutes; This learning path has: 3 Courses, 2 Exams

Difficulty: Intermediate; Description: This course examines the value of retail data, how to obtain it, and how to apply it to gain a competitive edge.; Duration: Up to 48 minutes; This learning path has: 3 Courses, 2 Exams