Getting Started with Tableau Desktop | Module 3.7 | Surfalytics

Test our community for 7-days trial: https://surfalytics.com/ Visit our GitHub repository: https://github.com/surfalytics This video provides an introduction to Tableau Desktop, a popular business intelligence tool. The lesson covers the fundamental concepts of Tableau, including the distinction between Tableau Desktop and Tableau Server, and the use of the Superstore dataset for creating visualizations. The instructor, Dmitry Anoshin, shares his experience with Tableau, including authoring books on the topic and his company's past partnership with Tableau. Key topics discussed include: Fundamental Concepts: The importance of understanding fundamentals like dimensions, measures, and semantic models, which are transferable across different BI tools. Data Connections: How to connect to various data sources, including flat files and databases like Postgres. It explains the difference between live connections and extracts. Building Visualizations: The process of creating views, which are individual visualizations, and then combining them into dashboards. Tableau Features: An overview of joins, federated queries, data blending, and various Tableau file types. Learning and Practice: The video emphasizes the importance of practice and portfolio building through resources like Tableau Public. Pros and Cons: A discussion on the advantages of using a BI tool like Tableau, such as automation and reduced errors, versus the learning curve, especially for those accustomed to spreadsheets. The video concludes with a hands-on demonstration of Tableau Desktop, showing how to connect to a data source, create views, and assemble them into a dashboard. The instructor also assigns homework to connect to a Postgres database with the Superstore dataset and build a dashboard. Timecode: 00:18 Introduction to Tableau 02:11 Tableau Books and Resources 05:23 Installing and Using Tableau Desktop 06:57 Connecting to Data Sources 09:08 Joins and Queries in Tableau 11:46 Data Manipulation in Tableau 12:39 Creating SQL Queries and Caching Data 14:44 Dimensions and Measures in Tableau 16:03 Creating Visualizations and Dashboards 22:10 Automation and Data Quality 23:08 Data Blending 24:21 Tableau File Types 24:57 Practice and Learning Tableau 28:37 Tableau Desktop Demonstration 30:39 Working with Data in Tableau 35:57 Creating a Dashboard 38:21 Filters and Use Cases 40:02 Working with Continuous Data 41:32 Scope and Table Calculations 43:15 Geographic Data and Filters 47:04 Optimization and Additional Features 48:50 Business Application 50:12 Superstore Dashboard in Tableau 51:11 Data Input and "What-If" Analysis 51:46 Forecasting and Clustering 51:46 Conclusion Thank you for watching our video "Getting Started with Tableau Desktop | Module 3.7 | Surfalytics" on SurfalyticsTV as part of a series of "Surfalytics | Module 3", click the link to watch the previous videos: https://www.youtube.com/playlist?list=PLNCDg7zJiXhPapTrxrvsxLUGSPLEbJp0w Subscribe for the channel for more videos: https://www.youtube.com/@SurfalyticsTV?sub_confirmation=1 #tableau #tableaudesktop #businessintelligence #bi #dataanalytics #datavisualization #dashboard #learntableau #sql #tutorial ================= What is Surfalytics? Inspired by West Coast surfing spots 🏖️ and Pacific Ocean vibes 🌊. Created to help you start a new career in the data analytics space and develop data engineering and analytics skills through coaching. It will teach you not just dry skills, but will keep your focus on delivering significant value to businesses in the analytics realm as well as help to get fair compensation 💰 for the work you’re passionate about ❤️‍🔥. The goal of Surfalytics is to assist you in achieving one of the following: 🏄‍♂️ Land your first job in the data industry with literally zero experience. I have accomplished this many times across the globe. 🏄 Advance from a middle-level role to a senior position (as an Analyst or Engineer). 🏄‍♀️ Transition from a non-technical Analyst role to a technical Engineer role. Moreover, we will focus on creating a highly competitive CV and securing top job offers. We will not consider any lowball offers, focusing only on top-tier companies and well-paid opportunities. Finally, Surfalytics is a results-driven community with a very narrow focus, resulting in a high return on investment (ROI). Here, ‘investment’ does not mean money but your time. I am literally fighting for your attention to encourage you to study and work hard, instead of watching Netflix or playing video games. This is the best YouTube channel for Data Analytics and Engineering. You will patch up a lack of knowledge and get new experience and tips to build a Data Analyst roadmap or Data Engineer roadmap for yourself. Want to be part of our growing community? Join on Surfalytics.com #surfalytics #dmitryanoshin #datacommunity #freecourses #dataanalysis #dataengineering #roadmap #careerpath #mindmaps #tools #overview #dataanalysttips