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Get ready for the 11th Analytics Engineering Meetup!

Does half of your company think you're too technical while the other half thinks all you do is create colourful charts? Then you've come to the right place! Join us if you enjoy talking about data models, SQL, data pipelines, data platforms and anything else that helps you become a better analytics engineer.

Schedule: 17:30 – 🍕 Pizza. 18:00 – 🎤 Mark Schep (Mark Your Data) - From Potential to Impact: Fast-Tracking Strategic Value in Analytics Projects 18:30 – 🎤 Tristan Guillevin (Ladataviz) - Building Bridges: one path the success in data visualization 19:00 - 🥤 Drinks

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About the talks:

🎙️ From Potential to Impact: Fast-Tracking Strategic Value in Analytics Projects

As an analytics leader, you’re under constant pressure to deliver measurable impact. Yet, too often, teams find themselves entangled in projects that fail to reach their full strategic potential. Whether you’re managing or working within these teams, the frustration is the same.

Join me as I share how bol. transformed untapped analytics potential into a series of high-impact successes across diverse business domains. Over two years, we executed eight pivotal projects by rapidly identifying and validating business value through focused experimentation. Learn how we collaborated with teams to craft compelling business cases, design low-risk, high-reward experiments, and break down complex initiatives into clear, actionable projects.

This session will arm you with proven strategies to ensure your analytics efforts are sharply focused on driving tangible business outcomes, enabling your teams to make meaningful contributions—one project at a time.

🎙️ Building Bridges: one path the success in data visualization

During his talk, Tristan will share his journey in data visualization, from creating his first dashboard to developing innovative tools that have transformed the way people build Tableau visualization. Through his presentation, you'll discover the power of building bridges between different ideas, tools, and ways of thinking, all while maintaining a beginner's mindset.

Analytics Engineering Meetup: 11th Edition

"Getting Started with Tableau 2019.2" is your primer to mastering the latest version of Tableau, a leading tool for data visualization and analysis. Whether you're new to Tableau or looking to upgrade your skills, this book will guide you through both foundational and advanced features, enabling you to create impactful dashboards and visual analytics. What this Book will help me do Understand and utilize the latest features introduced in Tableau 2019.2, including natural language queries in Ask Data. Learn how to connect to diverse data sources, transform data by pivoting fields, and split columns effectively. Gain skills to design intuitive data visualizations and dashboards using various Tableau mark types and properties. Develop interactive and storytelling-based dashboards to communicate insights visually and effectively. Discover methods to securely share your analyses through Tableau Server, enhancing collaboration. Author(s) Tristan Guillevin is an experienced data visualization consultant and an expert in Tableau. Having helped several organizations adopt Tableau for business intelligence, he brings a practical and results-oriented approach to teaching. Tristan's philosophy is to make data accessible and actionable for everyone, no matter their technical background. Who is it for? This book is ideal for Tableau users and data professionals looking to enhance their skills on Tableau 2019.2. If you're passionate about uncovering insights from data but need the right tools to communicate and collaborate effectively, this book is for you. It's suited for those with some prior experience in Tableau but also offers introductory content for newcomers. Whether you're a business analyst, data enthusiast, or BI professional, this guide will build solid foundations and sharpen your Tableau expertise.

data data-science data-science-tasks data-visualization Tableau Analytics BI DataViz

Explore and understand data with the powerful data visualization techniques of Tableau, and then communicate insights in powerful ways Key Features Apply best practices in data visualization and chart types exploration Explore the latest version of Tableau Desktop with hands-on examples Understand the fundamentals of Tableau storytelling Book Description Graphical presentation of data enables us to easily understand complex data sets. Tableau 10 Complete Reference provides easy-to-follow recipes with several use cases and real-world business scenarios to get you up and running with Tableau 10. This Learning Path begins with the history of data visualization and its importance in today's businesses. You'll also be introduced to Tableau - how to connect, clean, and analyze data in this visual analytics software. Then, you'll learn how to apply what you've learned by creating some simple calculations in Tableau and using Table Calculations to help drive greater analysis from your data. Next, you'll explore different advanced chart types in Tableau. These chart types require you to have some understanding of the Tableau interface and understand basic calculations. You'll study in detail all dashboard techniques and best practices. A number of recipes specifically for geospatial visualization, analytics, and data preparation are also covered. Last but not least, you'll learn about the power of storytelling through the creation of interactive dashboards in Tableau. Through this Learning Path, you will gain confidence and competence to analyze and communicate data and insights more efficiently and effectively by creating compelling interactive charts, dashboards, and stories in Tableau. This Learning Path includes content from the following Packt products: Learning Tableau 10 - Second Edition by Joshua N. Milligan Getting Started with Tableau 2018.x by Tristan Guillevin What you will learn Build effective visualizations, dashboards, and story points Build basic to more advanced charts with step-by-step recipes Become familiar row-level, aggregate, and table calculations Dig deep into data with clustering and distribution models Prepare and transform data for analysis Leverage Tableau's mapping capabilities to visualize data Use data storytelling techniques to aid decision making strategy Who this book is for Tableau 10 Complete Reference is designed for anyone who wants to understand their data better and represent it in an effective manner. It is also used for BI professionals and data analysts who want to do better at their jobs. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.

data data-science data-science-tasks data-visualization Tableau Analytics BI Dashboard DataViz
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