Data

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: 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: 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: Jake Gardner; Difficulty: Intermediate; Duration: 13 minutes and 16 seconds; Content Topics: Big Data; This course has: 4 Lectures

Author: Stephen Cole; Difficulty: Intermediate; Duration: 16 minutes and 28 seconds; Content Topics: Big Data; This course has: 6 Lectures

Author: Guy Hummel; Difficulty: Intermediate; Duration: 13 minutes and 6 seconds; Content Topics: Big Data, Machine Learning; This course has: 5 Lectures

Author: Stephen Cole; Difficulty: Intermediate; Duration: 10 minutes and 33 seconds; Content Topics: Big Data; This course has: 1 Lecture

Author: Chelsea Dohemann; Difficulty: Intermediate; Duration: 42 minutes and 58 seconds; Content Topics: Data Engineering, Big Data; This course has: 11 Lectures

Author: Stuart Scott; Difficulty: Intermediate; Duration: 23 minutes and 30 seconds; Content Topics: NoSQL, Identity and Access Management, SQL; This course has: 6 Lectures

Author: Stuart Scott; Difficulty: Intermediate; Duration: 21 minutes and 32 seconds; Content Topics: Storage; This course has: 3 Lectures

Author: Hallam Webber; Difficulty: Intermediate; Duration: 1 hour and 26 minutes; Content Topics: SQL; This course has: 12 Lectures

Author: Hallam Webber; Difficulty: Intermediate; Duration: 1 hour and 1 minute; Content Topics: Microsoft Azure; This course has: 22 Lectures

Author: Stuart Scott; Type: updated learning path; Difficulty: Intermediate; Description: This course will help you understand the different AWS database services and features and how to manage them within your environment.; Duration: Up to 25 hours and 3 minutes; Content Topics: Amazon Web Services; This learning path has: 21 Courses, 2 Lab challenges, 3 Exams, 8 Hands-on labs

Author: Andrew Larkin; Difficulty: Intermediate; Description: Practice using SQL to load and manipulate data with this course!; Duration: Up to 5 hours and 13 minutes; Content Topics: SQL; This learning path has: 3 Courses, 1 Lab challenge, 3 Exams, 1 Hands-on lab

Author: Ben Lambert; Difficulty: Advanced; Description: Learn how to write a Python application that interacts with other services - using real-world unit tests, debugging, deployment, and optimization techniques.; Duration: Up to 5 hours and 11 minutes; Content Topics: Development, DevOps; This learning path has: 2 Courses, 2 Lab challenges, 2 Exams

Author: Hallam Webber; Difficulty: Intermediate; Description: This course is designed to help you prepare for Microsoft's DP-100 Designing and Implementing a Data Science Solution on Azure exam.; Duration: Up to 17 hours; Content Topics: Machine Learning; This learning path has: 11 Courses, 1 Lab challenge, 1 Resource, 1 Exam, 4 Hands-on labs

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

Author: Calculated Systems; Difficulty: Beginner; Description: This course is a gentle introduction and for those who want to gain entry-level experience in machine learning and artificial intelligence.; Duration: Up to 4 hours and 45 minutes; Content Topics: NoSQL, Machine Learning; This learning path has: 2 Courses, 2 Exams, 1 Hands-on lab

Author: Danny Jessee; Difficulty: Intermediate; Description: Train to prepare for the new AWS Certified Data Engineer - Associate Certification (DEA-C01).; Duration: Up to 54 hours and 21 minutes; Content Topics: Serverless, Big Data, App Streaming, SQL; This learning path has: 11 Courses, 1 Lab challenge, 1 Exam, 20 Hands-on labs

Author: Luke Orellana; Difficulty: Beginner; Description: Explore the main features of Azure SQL and learn how to deploy and manage the service by connecting to the database and assigning user access in this lab.; Duration: Up to 45 minutes; Content Topics: SQL; This hands-on lab has: 5 Lab steps

Author: Parveen Singh; Difficulty: Intermediate; Description: Learn how to deploy and use Azure Synapse Analytics to query data stored in a data lake through T-SQL statements using a serverless SQL pool in this hands-on lab.; Duration: Up to 1 hour and 45 minutes; Content Topics: SQL, Big Data; This hands-on lab has: 7 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will create an S3 bucket and will implement the lifecycle policies to handle actions done on the objects. You will also log the operations done.; Duration: Up to 1 hour; Content Topics: Storage; This hands-on lab has: 5 Lab steps