Data Scientist Learning Path

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Your role in data

As a Data Scientist, you are experts at deriving valuable insights for large and varied data sets. You are responsible for:

Building and deploying end-to-end solutions leveraging machine learning and advanced analytics.

Building and testing models in R, Python, or other coding languages, perform simulations, and tune models for enterprise production.

Working with stakeholders throughout your organization to identify opportunities for leveraging company data to drive business solutions.

Curriculum

This learning path includes:


Getting Started with Tableau Desktop

FREE

Topics Covered: Tableau Basics

Learn the foundational skills you need to begin your Tableau Desktop journey. This course covers core data literacy concepts and provides guidance for creating your first Tableau Desktop workbook, empowering you to learn Tableau quickly and effectively.



Desktop I: Fundamentals

Topics Covered: Data Analysis

Learn core Desktop skills in this introductory class. You’ll gain a thorough introduction to data analysis and visual design in Tableau, and learn how to build views and interactive dashboards.



Desktop II: Intermediate

Topics Covered: Data Analysis

Expand your knowledge and distinguish yourself as a Tableau power user. Structured for those who have a solid foundation with Tableau, this course will help you take it to the next level.



Desktop III: Advanced

Topics Covered: Deep Insights

Explore Tableau Desktop’s more technical features and dig deeper into your data. You’ll learn advanced uses for calculations and chart techniques that create innovative analysis and dashboards.



Prep

Topics Covered: Data Prep

Learn the ins-and-outs of Tableau Prep to combine, shape, and clean your data. You’ll walk away knowing how to create flows then output them for analysis in Tableau Desktop.



Visual Analytics

CLASSROOM ONLY

Topics Covered: Visual Best Practices

Create more meaningful visualizations by learning the science of data visualization and visual best practices. You’ll become a better analyst, designer, and communicator after taking this course.



Analytics Best Practices

Topics Covered: Visual Best Practices

To be sure that you present your data in a way that isn’t misleading, study some of the basics of visual analytics. Learn principles of visual perception that will help you anticipate audience assumptions and design visualizations effectively.



Data Scientist Skills Assessment

You’ve got the right data skills for your role – now it’s time to show them off. Pass this Skills Assessment and earn a Role Badge.

Ready to get started?

Try the Data Scientist Learning Path

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Attend a Visual Analytics Course

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Includes 3 months of eLearning to complete your learning path.*

*If you don't need to take Visual Analytics, buy a Creator eLearning subscription here to access online content and complete this learning path.

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