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From fundamentals to exam prep boot camp trainings, Educate 360 partners with your team to meet your organization’s training needs across Project Management, Agile, Data Science, Cloud, Business Analysis, Business Process Management, and Leadership skills development.
A leader in the business analysis, business process management, and leadership & influencing skills and certification training space.
United Training is a leading provider of IT and technical training that is critical in today's economy. With over 400 technical, application, and professional development courses cloud computing, information security, and more, thousands of companies have come to trust United Training for learning and development solutions.
As the most trusted name in project management training®, PMA is the premier training provider for exam prep training for Project Management Institute (PMI)® certification exams, including the PMP®.
Six Sigma Online offers effective and flexible self-paced Six Sigma training across White, Yellow, Green, Black, and Master Black Belt certification levels with optional industry specializations to ensure students are equipped to thrive in their careers. SSO training is fully accredited by The Council for Six Sigma Certification.
A leading provider of high-quality technology training, with a focus on data science and cloud computing courses. Pierian Training offers self-paced online video courses, live virtual training, and in-person sessions.
A leading provider of project management training and consultancy services in Europe. Velopi's training courses enhance student capabilities by ensuring that the methodology used is best-in-class and incorporates the latest thinking in project management practice.
This career pathway prepares you to pass the Professional Data Engineer certification exam from Google Cloud.
Professional Data Engineers enable data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.
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