5640 courses available
Amazon Web Services
Cybersecurity for Small Business Owners
Cyber SecurityThis 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…
Microsoft
Dashboard in a Day - Online workshop
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
IBM
Data Analysis and Insights
Data ScienceThis 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.
Amazon Web Services
Data Analytics Learning Plan
Data ScienceA 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…
Amazon Web Services
Data Analytics Learning Plan (includes Labs)
Data ScienceA 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…
IBM
Data Analytics and Visualization Camp
Data ScienceThis 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.
IBM
Data Analytics for Machine Learning
Data ScienceThis 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.
IBM
Data Analytics for Sustainability
Data ScienceThis 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.
IBM
Data Classification
Data ScienceThis 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.
IBM
Data Classification and Summarization Using IBM Granite
Data ScienceThis credential earner has the technical knowledge and practical skills to construct effective prompts to classify and summarize data using IBM Granite. The earner can adjust the generative AI model’s parameters to refine the output of prompts.
IBM
Data Collection and Analysis
Data ScienceThis credential earner has the advanced competencies to complete the five steps of the data analysis process. The individual has the technical knowledge and practical skills to prepare for analysis, gather data, clean data, analyze data, and interpret the results. The earner has practiced essential workplace skills and explored data analytics career pathways.
Amazon Web Services
Data Engineering on AWS - Foundations
Data ScienceIn this course, you will learn essential data engineering concepts such as what does a data engineer do, how to perform data discovery, and which AWS data services are available for running, automating, and securing your data solutions and…
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