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The Alteryx Fundamentals course is designed to equip learners with the core skills necessary to utilize Alteryx for data analytics and workflow automation. This comprehensive program starts with an Introduction to Alteryx where participants learn how to install the software and get acquainted with its user interface. The course progresses through a series of modules, each focusing on key features and tools within Alteryx.
From Input Tools that connect to various data sources like Excel, CSV, and SQL Server to Output Tools that allow users to write data to different formats and databases, learners will develop a solid foundation. Preparation Tools and Join Tools help in data cleaning and combining datasets, while Transform Tools and Parse Tools are covered to reshape and extract data. The course also includes lessons on Alteryx File Types, Documentation Tools for organizing workflows, and Alteryx Reports for presenting data findings.
Through hands-on lessons and practical exercises, learners will gain the expertise to streamline their data processing tasks, leading to increased efficiency and insights. The course is beneficial for data professionals looking to enhance their analytical capabilities and add value to their organizations' data-driven decision-making processes.
This is a Rare Course and it can be take up to 3 weeks to arrange the training.
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4-Hour Sessions
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♱ Excluding VAT/GST
Classroom Training price is on request
♱ Excluding VAT/GST
Classroom Training price is on request
To successfully undertake the Alteryx Fundamentals course, students should meet the following minimum prerequisites:
Please note that while these are the minimum prerequisites, a willingness to learn and problem-solve will greatly enhance your experience with the Alteryx Fundamentals course.
The Alteryx Fundamentals course is designed for professionals looking to master data processing and analytics using Alteryx.
The Alteryx Fundamentals course equips students with the essential skills to proficiently navigate and utilize Alteryx for data preparation, blending, and analytics.