Data

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 51 minutes; Content Topics: Google Cloud Platform; This learning path has: 5 Courses, 1 Exam, 1 Hands-on lab

Author: Francesco Mosconi; Difficulty: Intermediate; Description: This Course gives an informative introduction to deep learning and introducing neural networks.; Duration: Up to 3 hours and 28 minutes; Content Topics: Machine Learning; This learning path has: 2 Courses, 1 Exam

Author: Francesco Mosconi; Difficulty: Beginner; Description: Get started with Data Science and Deep Learning; Duration: Up to 4 hours and 16 minutes; Content Topics: Machine Learning; This learning path has: 3 Courses, 1 Exam

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: 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: 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

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

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 47 minutes; This learning path has: 5 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 50 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Beginner; Description: An overview of the different types and sources of retail data available, and how suppliers and retailers can collect and analyze it effectively.; Duration: Up to 50 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Beginner; Description: This course explores why collecting data directly from consumers is key to understanding their behaviors, and meeting their needs and preferences.; Duration: Up to 13 minutes; This learning path has: 1 Course

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 53 minutes; This learning path has: 5 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 53 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Beginner; Description: Learn what data visualization is, why it’s important, and how to interpret data visualizations yourself.; Duration: Up to 44 minutes; This learning path has: 4 Courses, 2 Exams

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will create a Google Cloud Spanner database, you will define a schema for a table, and you will perform some SQL queries.; Duration: Up to 45 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 5 Lab steps

Author: Daniel Mease; Difficulty: Beginner; Duration: 30 minutes and 54 seconds; Content Topics: Google Cloud Platform; This course has: 4 Units

Author: Hallam Webber; Difficulty: Intermediate; Duration: 1 hour and 4 minutes; Content Topics: Microsoft Azure; This course has: 10 Units

Author: Jake Gardner; Difficulty: Intermediate; Duration: 13 minutes and 16 seconds; Content Topics: Microsoft Azure; This course has: 4 Units

Author: Stephen Cole; Difficulty: Intermediate; Duration: 16 minutes and 28 seconds; Content Topics: Amazon Web Services; This course has: 6 Units

Author: Guy Hummel; Difficulty: Intermediate; Duration: 13 minutes and 6 seconds; Content Topics: Microsoft Azure; This course has: 5 Units

Author: Stephen Cole; Difficulty: Intermediate; Duration: 10 minutes and 33 seconds; Content Topics: Amazon Web Services; This course has: 1 Unit

Author: Chelsea Dohemann; Difficulty: Intermediate; Duration: 42 minutes and 58 seconds; Content Topics: Microsoft Azure; This course has: 11 Units

Author: Stuart Scott; Difficulty: Intermediate; Duration: 23 minutes and 30 seconds; Content Topics: Amazon Web Services; This course has: 6 Units