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Enhance your employability remarkably by obtaining a solid understanding of business analysis fundamentals, Agile best practices, and data analysis skills, whether you are just starting your career or looking to increase your existing experience. You will also prepare for the Entry Certificate in Business Analysis (ECBA), Certification in Business Data Analytics (CBDA), and Agile Analyst Certification (AAC) exams.
Gain key skills needed to work as an office manager. By course completion, you will have an in-depth understanding of Microsoft Office, QuickBooks Online, and business management techniques.
The School Bus Endorsement Theory Course is designed to provide prospective school bus drivers with essential knowledge and skills needed in the process of obtaining a School Bus Endorsement (S) on their current Commercial Driver's License (CDL).
This course will prepare you to pass the National Academy of Sports Medicine (NASM) exam and earn your NASM Certified Personal Trainer certification, which is one of the most respected certifications in the fitness industry.
This course is intended for IT professionals who would like to better understand AWS Cloud concepts and core AWS services.
Enhance your employability by obtaining a solid understanding of business analysis fundamentals and in-demand Agile analysis skills, whether you are just starting your career or looking to increase your existing experience. You will also prepare for the Entry Certificate in Business Analysis (ECBA) and Agile Analyst Certification (AAC) exams.
This online Windows Server 2022 certification course is intended for Windows Server administrators. The training is designed for anyone who is trying to attain the Microsoft Certified: Windows Server Hybrid Administrator Associate certification.
Prepare to take and pass the IIA's Certified Internal Auditor exam and the Microsoft Office Specialist (MOS) Expert exam for Microsoft Excel.
Prepare to obtain training in Python programming, machine learning, data analysis, automation, and SQL. You will learn to build AI applications using APIs and frameworks, gaining hands-on experience in data cleaning, visualization, and model development with tools like Pandas, NumPy, and scikit-learn.
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