Big Data Training Library

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 27 hours and 19 minutes; Content Topics: NoSQL, Big Data, SQL, Machine Learning; This learning path has: 22 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 29 hours and 5 minutes; Content Topics: Google Cloud Platform; This learning path has: 1 Resource, 25 Courses, 2 Lab challenges, 2 Exams, 11 Hands-on labs

Author: Guy Hummel; Type: updated learning path; 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 21 hours and 41 minutes; Content Topics: Big Data, Machine Learning, SQL; This learning path has: 16 Courses, 1 Lab challenge, 1 Resource, 1 Exam, 8 Hands-on labs

Author: Andrew Larkin; Difficulty: Beginner; Description: Go from Newbie to Ninja in the structured query language (SQL)!; Duration: Up to 14 hours and 47 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: App Streaming; 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 51 minutes; Content Topics: NoSQL, Big Data; 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 56 minutes; Content Topics: Big Data; 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 6 hours and 32 minutes; Content Topics: SQL; This learning path has: 2 Courses, 1 Exam, 6 Hands-on labs

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 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: 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 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 10 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 45 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: QA; Difficulty: Intermediate; Description: Practical Machine Learning; Duration: Up to 19 hours and 16 minutes; Content Topics: Amazon Web Services, Microsoft Azure; This learning path has: 11 Courses, 6 Exams, 2 Hands-on labs

Author: Stefano Cascavilla; Type: free learning path; Difficulty: Intermediate; Description: Get a practical understanding of Data Build Tool, its features, and how to use them with this labs-based course!; Duration: Up to 15 hours and 50 minutes; Content Topics: Data Modeling; This learning path has: 1 Lab challenge, 11 Hands-on labs

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: This course is made up entirely of hands-on labs to help you master regular expressions in Python!; Duration: Up to 2 hours and 20 minutes; Content Topics: Development; This learning path has: 1 Lab challenge, 3 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: 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 17 minutes; Content Topics: Amazon Web Services; This learning path has: 1 Course, 1 Exam, 2 Hands-on labs

Author: Andrew Larkin; Difficulty: Intermediate; Description: Start manipulating and modelling data with Amazon SageMaker; Duration: Up to 5 hours and 59 minutes; Content Topics: Amazon Web Services; This learning path has: 2 Courses, 1 Exam, 3 Hands-on labs

Author: Calculated Systems; Difficulty: Intermediate; Description: Learn the basics of machine learning models and how to use models to extract results.; Duration: Up to 7 hours and 17 minutes; Content Topics: Amazon Web Services; This learning path has: 2 Courses, 1 Exam, 5 Hands-on labs

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: Get a practical understanding of the Scala programming language, its features, and how to use it with this labs-based course!; Duration: Up to 12 hours and 30 minutes; Content Topics: Development; This learning path has: 2 Lab challenges, 9 Hands-on labs

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this hands-on course, you will learn how to create and manage your own graph databases using Neo4j.; Duration: Up to 6 hours and 48 minutes; Content Topics: Graph Databases; This learning path has: 1 Course, 1 Lab challenge, 4 Hands-on labs