Alteryx Fundamentals Course Overview

Alteryx Fundamentals Course Overview

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.

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  • Live Online Training (Duration : 8 Hours)
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  • Live Online Training (Duration : 8 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

To successfully undertake the Alteryx Fundamentals course, students should meet the following minimum prerequisites:

  • Basic computer literacy, including the ability to navigate the operating system (Windows) and use common applications such as Microsoft Office.
  • Familiarity with the basic concepts of data, such as what constitutes a data set, data types, and basic data structures (e.g., tables, columns, rows).
  • Understanding of foundational data-related concepts, including data entry, storage, and simple data operations like sorting and filtering.
  • Some exposure to or experience with data analysis, business intelligence, or basic statistical concepts is helpful but not strictly necessary.
  • No prior experience with Alteryx is required, as the course is designed to introduce Alteryx from the ground up.

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.

Target Audience for Alteryx Fundamentals

The Alteryx Fundamentals course is designed for professionals looking to master data processing and analytics using Alteryx.

  • Data Analysts
  • Business Analysts
  • BI Professionals
  • Data Scientists
  • Marketing Analysts
  • Financial Analysts
  • Operations Analysts
  • IT Professionals interested in data analytics
  • Graduate students in data-driven disciplines
  • Excel power users transitioning to Alteryx
  • SQL Database Administrators expanding skillsets
  • Tableau users seeking to enhance data preparation capabilities

Learning Objectives - What you will Learn in this Alteryx Fundamentals?

Introduction to the Alteryx Fundamentals Course Learning Outcomes

The Alteryx Fundamentals course equips students with the essential skills to proficiently navigate and utilize Alteryx for data preparation, blending, and analytics.

Learning Objectives and Outcomes

  • Install Alteryx: Understand the installation process and system requirements for Alteryx.
  • Interface Familiarity: Become comfortable with Alteryx's user interface and identify key features and tools.
  • Data Input: Learn to connect to various data sources such as MS Excel, CSV files, and SQL Server.
  • File Types: Recognize different Alteryx file types and their uses within data workflows.
  • Data Output: Master writing and outputting data to CSV, Tableau Extracts, and SQL Server from Alteryx.
  • Data Preparation: Utilize preparation tools like Select, Data Cleansing, Filter, Formula, Sort, Sample, Unique, and Record ID to manipulate and prepare data.
  • Data Joining: Combine data efficiently using Join and Union tools to create comprehensive datasets.
  • Data Transformation: Apply Transform tools like Summarize, Transpose, and Cross Tab to reshape data for analysis.
  • Data Parsing: Extract and format data using Parse tools, focusing on text to columns and date/time manipulation.
  • Documentation and Reporting: Implement Documentation tools for a clear workflow and create reports using Alteryx's reporting capabilities.

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