Alteryx Tutorial for Beginners - 2+ Hours of Alteryx Training & Alteryx Demo

Course Overview

This course provides an introduction to Alteryx, a powerful data analytics platform. It covers topics such as Alteryx Essentials, Data Types 101, Components of Alteryx Workflow, Formatting Data, Basic Workflow Example, Filtering Data in Alteryx, Join Tool, Grouping Data, Introduction to Basic Functions - Part 1, Introduction to Basic Functions - Part 2, Introduction to Basic Functions - Part 3, Basic Parsing Methods, Basic Parsing Methods w/ Dynamic Renaming, Basic Vlookup and Append, Working on Multiple Fields in Alteryx, Build an Alteryx workflow, and Basic Tips and Tricks to Make Alteryx Easier. Participants will gain a comprehensive understanding of the Alteryx platform and be able to create their own workflows.

[Applications]
After completing this course, users can apply their knowledge of Alteryx to create workflows for data analysis, data manipulation, and data visualization. They can use the components of Alteryx Workflow to format, filter, join, and group data. They can also use basic functions, parsing methods, and Vlookup and Append to work on multiple fields. Finally, they can use the tips and tricks to make Alteryx easier and build an Alteryx workflow.

[Career Paths]
1. Business Intelligence Analyst: Business intelligence analysts use Alteryx to analyze data and create reports that help organizations make better decisions. They use Alteryx to create dashboards, visualizations, and other data-driven insights. The demand for business intelligence analysts is growing as organizations increasingly rely on data-driven decision making.

2. Data Scientist: Data scientists use Alteryx to analyze large datasets and uncover patterns and trends. They use Alteryx to create predictive models and machine learning algorithms that can be used to make predictions about future events. Data scientists are in high demand as organizations look to leverage the power of data to gain a competitive edge.

3. Data Engineer: Data engineers use Alteryx to design and build data pipelines that can be used to move data from one system to another. They use Alteryx to create ETL (extract, transform, and load) processes that can be used to move data from one system to another. Data engineers are in high demand as organizations look to leverage the power of data to gain a competitive edge.

4. Data Analyst: Data analysts use Alteryx to analyze data and create reports that help organizations make better decisions. They use Alteryx to create dashboards, visualizations, and other data-driven insights. The demand for data analysts is growing as organizations increasingly rely on data-driven decision making.

[Education Paths]
1. Bachelor of Science in Data Science: This degree path focuses on the fundamentals of data science, including data analysis, machine learning, and data visualization. It also covers topics such as database management, programming, and statistics. This degree is becoming increasingly popular as businesses and organizations are recognizing the importance of data-driven decision making.

2. Master of Science in Business Analytics: This degree path focuses on the application of data science to business problems. It covers topics such as predictive analytics, data mining, and optimization. This degree is becoming increasingly popular as businesses and organizations are recognizing the importance of data-driven decision making.

3. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems and the application of artificial intelligence to solve complex problems. It covers topics such as machine learning, natural language processing, and computer vision. This degree is becoming increasingly popular as businesses and organizations are recognizing the importance of leveraging AI to gain a competitive edge.

4. Doctor of Philosophy in Data Science: This degree path focuses on the advanced topics of data science, including data mining, machine learning, and data visualization. It also covers topics such as database management, programming, and statistics. This degree is becoming increasingly popular as businesses and organizations are recognizing the importance of data-driven decision making.