Data

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

Author: Stuart Scott; 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 24 hours and 1 minute; 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 3 hours and 47 minutes; Content Topics: SQL; This learning path has: 2 Courses, 1 Lab challenge, 1 Exam, 1 Hands-on lab

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 19 hours and 40 minutes; Content Topics: Microsoft Azure; This learning path has: 11 Courses, 1 Lab challenge, 1 Resource, 1 Exam, 5 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

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 49 minutes; This learning path has: 4 Courses, 2 Exams

Author: Danny Jessee; Difficulty: Intermediate; Description: Train to prepare for the new AWS Certified Data Engineer - Associate Certification (DEA-C01).; Duration: Up to 55 hours and 42 minutes; Content Topics: Amazon Web Services; This learning path has: 11 Courses, 1 Lab challenge, 1 Exam, 20 Hands-on labs

Difficulty: Intermediate; Description: This course explores common challenges in creating value with data, and the key capabilities required to conduct effective data analytics projects.; Duration: Up to 50 minutes; This learning path has: 5 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 47 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Intermediate; Description: We take a look at what makes good data visualizations and explore the processes and tools you’ll likely put to use when developing them.; Duration: Up to 48 minutes; This learning path has: 4 Courses, 2 Exams

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: Microsoft Azure; 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: Microsoft Azure; This hands-on lab has: 7 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: Learn how to build and trigger data pipelines in Azure Data Factory in this lab.; Duration: Up to 1 hour and 15 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 9 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Put your Amazon RDS skills to the test in this hands-on challenge lab as you are tasked with creating a database.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This lab challenge has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Regular expressions are a powerful tool for searching and manipulating text. In this hands-on lab you will learn how to use them effectively in real-world scenarios.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will work with regular expressions, learning how to use quantifiers, anchors, and capture groups to match patterns in text.; Duration: Up to 30 minutes; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to store data in Amazon S3 for use with Data Analytics services including Redshift and Athena. Learn how to structure analytic data to maximize performance and minimize costs.; Duration: Up to 1 hour and 15 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 7 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: In this lab you will see how to use Kinesis Data Analytics to sessionize clickstream data, and, you will see how to send the output data from Kinesis Data Analytics to DynamoDB using a Lambda function.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 7 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to rewind a MySQL Aurora RDS database using Backtrack. Backtrack can seamlessly restore your database in minutes and lets you move back and forth to examine data changes in detail.; Duration: Up to 1 hour and 30 minutes; Content Topics: Databases; This hands-on lab has: 7 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: This Lab will show you the basic concepts of BigQuery and will allow you to handle data and query them in a real GCP environment.; Duration: Up to 45 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 6 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn about Amazon DynamoDB back-up strategies and restore using an on-demand back-up in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: Use the gcloud CLI in Google Cloud Shell to create signed URLs to grant anyone access to objects stored in Google Cloud Storage for a set duration in this Lab.; Duration: Up to 45 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 4 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: Use gsutil from inside a Google Cloud Shell to work with Google Cloud Storage including using object versioning and Object Lifecycle Management in this lab.; Duration: Up to 1 hour; Content Topics: Google Cloud Platform; This hands-on lab has: 5 Lab steps