Data Visualization with Tableau 2019.x in Practice

[LeeAndro]

Data Visualization with Tableau 2019.x in Practice
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 277 MB
Genre: eLearning | Language: English

Tableau is a widely used data analytics and visualization tool that many consider indispensable for data-science-related work. Its drag and drop interface makes it quite easy to sort, compare, and analyze data from multiple sources, including Excel, SQL Server, and Cloud-based data repositories.

This course explains the core fundamentals of Tableau Desktop 2019.x in practice. Using the IBM HR-Analytics Dataset, you'll learn to connect to various data sources, summarize data, and create, manipulate, and share data visualizations, including highlight tables, charts, scatter plots, histograms, maps, dashboards, and much more. Finally, you'll learn to deliver data-driven insights and take path-breaking business decisions. You'll complete the course by solving a hands-on challenge on the IBM HR-Analytics Dataset. Not only that, you can publish your solution on Tableau Public-under Packt's challenge - IBM Attrition Rate Analysis-so everyone can search, and learn from, the variety of approaches taken.
After finishing the course, you'll be a highly proficient Tableau user. You'll be able to use your skills as a data scientist to extract knowledge and relevant insights from data by analyzing and visualizing it into useful KPI's

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