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This comprehensive learning plan is designed to provide a solid foundation in data engineering principles, tools, and best practices to prepare you to perform the data engineering role in the AWS Cloud. Through a series of courses, you will…

This credential earner demonstrates knowledge of data analytics concepts, methodologies and applications of data science, and the tools and programming languages used in the data ecosystem. The individual has a conceptual understanding of how to clean, refine, and visualize data using IBM Watson Studio. The earner is aware of the job outlook in data and is familiar with the skills required for success in various roles in the domain.

This credential earner demonstrates knowledge of data analytics concepts, methodologies and applications of data science, and the tools and programming languages used in the data ecosystem. The credential verifies the ability to apply data analysis skills in a data visualization tool, including connecting to data, building and creating interactive dashboards to share insights. The earner is aware of the job outlook and skills required for success in roles in data analytics.

Learn best practices for importing, exporting, and managing your data to ensure its integrity and quality.

This assessment validates your comprehension of the Storage Data Migration Knowledge Badge Readiness Path. The assessment questions are based on the courses in this learning path. Take all of the courses and then verify your knowledge. Already…

Learn the foundational principles of building a data model in Salesforce. Understand objects, fields, and relationships to design a robust and scalable data structure.

To efficiently meet business needs when designing databases, data modeling is critical. In this course, you will learn the fundamental concepts and best practices of modeling your data with Amazon DocumentDB. You will examine three use cases of…

Data modeling is critical when designing databases to efficiently meet business needs. Optimal data models can lead to better application performance and help facilitate downstream reporting. In this course, you will learn how to construct…

Data modeling is a key part of database lifecycle management. An optimally designed database supports your application use case seamlessly and helps with downstream reporting, application needs, and performance. This course demonstrates various…

This credential earner has the advanced competencies to prepare multiple data sets for analysis. The individual has the technical knowledge and practical skills to subdivide a data set, join data, and determine impact and actionability. The earner has practiced essential workplace skills and explored data analytics career pathways.

This assessment validates your comprehension of the Storage Data Protection and Disaster Recovery Knowledge Badge Readiness Path. The assessment questions are based on the courses in this learning path. Take all of the courses and then verify your…

This credential earner demonstrates basic proficiency of data fundamentals, statistics, Python, SQL, and machine learning. The individual has an understanding of soft skills for design thinking, agile, and professional skills (including problem solving and collaboration). The earner is prepared for an apprenticeship, and has completed all the foundational skills.