# Tableau Bootcamp Online Canonical URL: ## Overview This Tableau course helps you build strong data visualization skills by creating dynamic dashboards, analyzing complex datasets, and communicating insights clearly. Through lessons, projects, and real-world examples, you'll learn how to use Tableau's features to turn raw data into compelling visual stories. It suits beginners with no prior experience as well as those looking to sharpen their visualization skills, with step-by-step instruction that builds both confidence and practical expertise. As you progress, you'll connect to data in multiple formats, clean and structure datasets, and create a wide range of visualizations, including bar charts, line charts, treemaps, heat maps, dual-axis charts, and interactive maps. You'll work with calculated fields, aggregations, and forecasting tools, format visuals for clarity, customize dashboards for different audiences and devices, explore advanced mapping and visualization techniques, and publish or export dashboards for professional sharing. By the end, you'll have a portfolio of polished Tableau dashboards and the skills to make data-driven decisions with confidence. ## What you'll learn - Connect to datasets in a variety of formats, then clean, filter, and structure data for effective visual storytelling - Build a range of visualizations including bar charts, line charts, treemaps, heat maps, dual-axis charts, and advanced types like spider maps and alluvial diagrams - Use Tableau's calculation tools to create custom fields, apply aggregates, and dig deeper into your data analysis - Format charts with labels, tooltips, color, and axis adjustments, and build interactive map visualizations such as choropleths and proportional symbol maps - Tailor dashboards and stories to different audiences and screen sizes using Tableau's interactivity tools - Publish work to Tableau Online and export dashboards for professional sharing and collaboration ## Instructors ### Garfield Stinvil — Instructor Garfield is an experienced software trainer with over 16 years of real-world professional experience. He started as a data analyst with a Wall Street real estate investment company & continued working in the professional development department at New York Road Runners Organization. He enjoys bringing humor to whatever he teaches and loves conveying ideas in novel ways that help others learn more efficiently. Since starting his professional training career in 2016, he has worked with several corporate clients including Adobe, HBO, Amazon, Yelp, Mitsubishi, WeWork, Michael Kors, Christian Dior, and Hermès. Outside of work, his hobbies include rescuing & archiving at-risk artistic online media using his database management skills. ### Colin Jaffe — Instructor Colin Jaffe is a programmer, writer, and teacher with a passion for creative code, customizable computing environments, and simple puns. He loves teaching code, from the fundamentals of algorithmic thinking to the business logic and user flow of application building—he particularly enjoys teaching JavaScript, Python, API design, and front-end frameworks. Colin has taught code to a diverse group of students since learning to code himself, including young men of color at All-Star Code, elementary school kids at The Coding Space, and marginalized groups at Pursuit. Colin lives in Brooklyn with his wife, two kids, and many intricate board games. ### Brian McClain — Instructor Brian McClain is an experienced instructor, curriculum developer, and web developer. Brian served as Director for a coding bootcamp, where he is now a lead instructor and course developer for both JavaScript and Python. He teaches Web Development, JavaScript, Python for Data Science, Machine Learning, and AI. He taught Python Data Science and Machine Learning as an Adjunct Professor of Computer Science at Westchester County College. Brian is also an active industry professional in the field of generative AI app development. His website and iOS app, Artmink, provide appraisals of art and antiques from user-uploaded images. ## Pricing **Tuition:** $499