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Updated in [March 06th, 2023]

This course, Build Your First Data Visualization with Alteryx, provides learners with the skills and knowledge to utilize Alteryx to build a workflow and a visually impactful dashboard. Learners will explore the Alteryx user interface and discover how to connect and transform a data source for analysis. They will also learn how to use clean data to create a beautiful data visualization. By the end of the course, learners will be able to create simple and impactful data visualizations in an industry leading software, Alteryx.

[Applications]
Upon completion of this course, learners can apply their knowledge of Alteryx to create data visualizations for their own projects. Learners can also use the skills they have acquired to create data visualizations for their stakeholders, helping them to better understand the data and make informed decisions. Additionally, learners can use the skills they have learned to create data visualizations for their own personal use, such as creating a dashboard to track their own progress.

[Career Paths]
1. Data Analyst: Data Analysts are responsible for collecting, organizing, and analyzing data to identify trends and patterns. They use data visualization tools to create visual representations of data, such as charts, graphs, and maps. Data Analysts are in high demand as businesses increasingly rely on data-driven decisions.

2. Business Intelligence Developer: Business Intelligence Developers are responsible for designing and developing data-driven solutions to help businesses make better decisions. They use data visualization tools to create interactive dashboards and reports that provide insights into business performance.

3. Data Scientist: Data Scientists are responsible for extracting, cleaning, and analyzing large datasets to uncover hidden patterns and trends. They use data visualization tools to create visualizations that help them better understand the data and communicate their findings to stakeholders.

4. Data Visualization Designer: Data Visualization Designers are responsible for creating visually appealing data visualizations that help stakeholders understand complex data. They use data visualization tools to create interactive dashboards and reports that are both visually appealing and informative.

[Education Paths]
1. Bachelor's Degree in Data Science: A Bachelor's Degree in Data Science is a great way to learn the fundamentals of data analysis and visualization. This degree program will teach you the skills needed to analyze and interpret data, as well as create visualizations that effectively communicate the data story. Additionally, you will learn the latest technologies and trends in data science, such as machine learning and artificial intelligence.

2. Master's Degree in Business Analytics: A Master's Degree in Business Analytics is a great way to gain the skills needed to analyze and interpret data in order to make informed business decisions. This degree program will teach you the fundamentals of data analysis, as well as how to create visualizations that effectively communicate the data story. Additionally, you will learn the latest technologies and trends in business analytics, such as predictive analytics and big data.

3. Master's Degree in Data Visualization: A Master's Degree in Data Visualization is a great way to gain the skills needed to create visually impactful data visualizations. This degree program will teach you the fundamentals of data visualization, as well as how to create visualizations that effectively communicate the data story. Additionally, you will learn the latest technologies and trends in data visualization, such as interactive visualizations and augmented reality.

4. Doctoral Degree in Data Science: A Doctoral Degree in Data Science is a great way to gain the skills needed to analyze and interpret data, as well as create visualizations that effectively communicate the data story. This degree program will teach you the fundamentals of data analysis and visualization, as well as the latest technologies and trends in data science, such as machine learning and artificial intelligence. Additionally, you will gain the skills needed to develop and implement data-driven solutions to complex problems.