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This credential earner demonstrates a foundational understanding of cybersecurity concepts, objectives, and practices. This includes cyber threat groups, types of attacks, social engineering, case studies, overall security strategies, cryptography, and common approaches that organizations take to prevent, detect, and respond to cyber attacks. This also includes an awareness of the job market. Earners can use this knowledge to pursue further education for a variety of roles in cybersecurity.

This credential earner demonstrates a solid understanding of cybersecurity concepts, objectives, and practices, including cyber threat groups, attack types, social engineering, cryptography and security strategies. The credential verifies the ability to apply cybersecurity knowledge in real-world scenarios, as demonstrated through the completion of a simulated cybersecurity investigation. Badge earners can pursue further education for a variety of roles in cybersecurity.

The credential earner demonstrates basic proficiency in security tools used to configure, monitor, track, and analyze network systems and applications. The individual has gained foundational knowledge of security compliance standards along with a demonstrated soft skill 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.

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

Learn how to create your first dashboard in Power BI.

Modules in this learning path:

• Intro Power Bi
• Access Prepare Power Bi
• Build Your First Data Model
• Use Hierarchies Dax First Data Model
• Data Visualization Reports Power Bi
• Import Custom Visuals
• Publish Access Reports
• Interact Share Power Bi

Products: Power Bi, Power Platform

Roles: Business Analyst, Business User

Level: Beginner

Duration: 441 minutes

This credential earner has the advanced skills to analyze a data set to uncover actionable insights. The individual has the technical knowledge and practical skills to analyze and manipulate a data set, evaluate data to identify trends, evaluate the suitability of data analysis techniques, model probability distributions, apply data mining techniques, analyze data, select a machine learning algorithm, and interpret results of a data analysis. The earner has practiced essential workplace skills.

A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Use Learning Plans as a starting point to discover training that matters to you. This Learning Plan is…

A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Use Learning Plans as a starting point to discover training that matters to you. This Learning Plan is…

This credential earner understands basic statistical concepts such as measures of central tendency, dispersion, and linear regressions. The individual uses spreadsheets and database engines to handle, clean, and analyze data, and generates visual reports using data visualization tools such as Microsoft Power BI.

This credential earner has applied technical competencies of data analytics concepts for machine learning such as data processing, supervised learning, and unsupervised learning. The individual has the technical knowledge and practical skills on data collection and preprocessing; training and testing data, and uncovering data patterns and structures to predict outcomes and make decisions.

This credential earner has applied knowledge of sustainability concepts such as environmental, social, and governance (ESG) reporting, conservation, and resource management and uses data to gain insights about sustainability issues. The individual has skills in Python programming for data analysis and visualization, and proposal writing. The earner is aware of the job outlook, grant opportunities in sustainability fields, and the skills required for success in roles in the domain.

This credential earner has the advanced competencies to analyze data based on its source and type. The individual has the technical knowledge and practical skills to analyze the characteristics of data sets and sources and to refine data sets to align with organizational requirements. The earner has practiced essential workplace skills and explored data analytics career pathways.