Statistical Tableau: How to Use Statistical by Ethan Lang (.ePUB)

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File Size: 24.4 MB

Statistical Tableau: How to Use Statistical Models and Decision Science in Tableau (Final Release) by Ethan Lang
Requirements: .ePUB reader, 24.4 MB
Overview: In today’s data-driven world, understanding statistical models is crucial for effective analysis and decision making. Whether you’re a beginner or an experienced user, this book equips you with the foundational knowledge to grasp and implement statistical models within Tableau. Gain the confidence to speak fluently about the models you employ, driving adoption of your insights and analysis across your organization. As AI continues to revolutionize industries, possessing the skills to leverage statistical models is no longer optional—it’s a necessity. Stay ahead of the curve and harness the full potential of your data by mastering the ability to interpret and utilize the insights generated by these models. Whether you’re a data enthusiast, analyst, or business professional, this book empowers you to navigate the ever-evolving landscape of data analytics with confidence and proficiency. Start your journey toward data mastery today. Statistical analysis and data visualization are often considered two separate things. However, both disciplines rely on one another. To understand your data and make accurate predictions or assumptions through statistical analysis, you must visualize your data. On the other hand, to deliver actionable insights and enable your audience to get the most from data visualizations, we must back up our assumptions with some statistical analysis. This book is to help you bring statistics into your visualizations in Tableau. You will learn how to read and interpret statistical models, implement them in Tableau, and ultimately draw out actionable insights to present to your stakeholders. Most decisions using data come with risks; it is your responsibility to arm the decision maker with as much information as possible and to mitigate those risks. R is a programming language and open source software environment primarily used for statistical computing and graphics. Python is a popular language in various fields, including web development (using frameworks like Django and Flask), Data Science and Machine Learning, and automation.
Genre: Non-Fiction > Tech & Devices

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