Author: Guy Hummel; Difficulty: Intermediate; Description: Designed to help you prepare for the Google Certified Professional Data Engineer Exam, this training will help you gain a solid understanding of GCP components.; Duration: Up to 26 hours and 14 minutes; Content Topics: Google Cloud Platform; This learning path has: 24 Courses, 1 Resource, 5 Exams, 8 Hands-on labs

Author: Guy Hummel; Difficulty: Intermediate; Description: This course is designed to help you prepare for the Google Certified Professional Cloud Architect Exam. Start learning now!; Duration: Up to 28 hours and 21 minutes; Content Topics: Google Cloud Platform; This learning path has: 1 Resource, 27 Courses, 2 Lab challenges, 2 Exams, 11 Hands-on labs

Author: Guy Hummel; Difficulty: Intermediate; Description: This course is designed to help you prepare for Microsoft's DP-203 Data Engineering on Microsoft Azure exam.; Duration: Up to 18 hours and 43 minutes; Content Topics: Microsoft Azure; This learning path has: 16 Courses, 1 Lab challenge, 1 Resource, 8 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 3 hours and 15 minutes; Content Topics: Amazon Web Services; This learning path has: 2 Courses, 2 Exams, 1 Hands-on lab

Author: Andrew Larkin; Difficulty: Beginner; Description: Go from Newbie to Ninja in the structured query language (SQL)!; Duration: Up to 14 hours and 46 minutes; Content Topics: SQL; This learning path has: 4 Courses, 1 Lab challenge, 3 Exams, 3 Hands-on labs

Author: Andrew Larkin; Difficulty: Beginner; Description: Get started using Amazon Kinesis to create solutions and solve business problems.; Duration: Up to 6 hours and 17 minutes; Content Topics: Amazon Web Services; This learning path has: 4 Courses, 1 Exam, 2 Hands-on labs

Author: Guy Hummel; Difficulty: Intermediate; Description: Learn how to load, query, and secure your data in Google BigQuery, Google's lightning-fast data warehouse in the cloud.; Duration: Up to 3 hours and 22 minutes; Content Topics: Google Cloud Platform; This learning path has: 5 Courses, 1 Exam, 1 Hands-on lab

Author: Guy Hummel; Difficulty: Intermediate; Description: Follow hands-on examples to import data, run queries, and output the results using Azure Databricks, Azure Data Lake Storage Gen2, and Azure Stream Analytics.; Duration: Up to 9 hours and 28 minutes; Content Topics: Microsoft Azure; This learning path has: 7 Courses, 1 Exam, 5 Hands-on labs

Author: Calculated Systems; Difficulty: Intermediate; Description: Dive into the various tools and techniques available for manipulating information and data sources.; Duration: Up to 7 hours and 17 minutes; Content Topics: SQL; This learning path has: 2 Courses, 1 Exam, 6 Hands-on labs

Author: Kunal Haria; Difficulty: Intermediate; Description: Fundamentals of R; Duration: Up to 14 hours and 19 minutes; Content Topics: Machine Learning; This learning path has: 11 Courses, 1 Resource, 3 Exams, 1 Hands-on lab

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 23 hours and 58 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 3 hours and 47 minutes; Content Topics: SQL; This learning path has: 2 Courses, 1 Lab challenge, 1 Exam, 1 Hands-on lab

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: 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

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: 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: Andrea Giussani; Difficulty: Intermediate; Description: A deep dive into the visualization tools and libraries available in Python.; Duration: Up to 6 hours and 28 minutes; Content Topics: Analytics, Development; This learning path has: 3 Courses, 1 Exam, 2 Hands-on labs

Author: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will learn about the character classes and quantifiers elements of Regular Expressions, and use them to match patterns in text.; Duration: Up to 30 minutes; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: Adil Islam; Difficulty: Beginner; Description: In this hands-on lab playground, you'll have the opportunity to play around with the PowerBI Desktop application and build queries, data models, and visualize data using reports.; Duration: Up to 4 hours; Content Topics: Microsoft Azure; This hands-on lab has: 1 Lab step

Author: QA; Difficulty: Intermediate; Description: Practical Machine Learning; Duration: Up to 19 hours and 1 minute; Content Topics: Amazon Web Services, Microsoft Azure; This learning path has: 11 Courses, 6 Exams, 2 Hands-on labs

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create tables, set distribution styles, and configure fine-grained access on an Amazon Redshift cluster in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: This course is made up entirely of hands-on labs to help you master regular expressions in Python!; Duration: Up to 2 hours and 50 minutes; Content Topics: Development; This learning path has: 1 Lab challenge, 3 Hands-on labs