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We're here to help you find itLearn Tableau with Realistic Projects - Duration: 2 Days
In our Learn Tableau with Realistic Projects course, you'll build 6 Interactive dashboards that tackle real-world challenges. Over two days, you'll master
skills essential for data analysis like Connecting to diverse data sources (from Excel to cloud servers), crafting a variety of charts, and creating dynamic Interactive dashboards.
Learning Objectives:
- Create and publish 6 dashboards online
- Connect to different data sources such as Excel and Google Sheets
- Build diverse charts including bar, line, and dual-axis charts
- Develop calculated fields and understand joins
- Utilize Level of Detail calculations, sets, hierarchies, and groups
- Implement trend lines and use dashboard actions for interactivity
With hands-on projects like Sales Analytics, HR Analytics, and Stock Price Analysis, gain practical experience to become a proficient Data Analyst.
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♱ Excluding VAT/GST
Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
Prerequisites:
To ensure successful completion of the "Learn Tableau with Realistic Projects" course, it is recommended that learners have the following prerequisites:
1. This 2-day Tableau course helps individuals master data analytics and visualization through interactive projects, targeting aspiring data professionals and analysts.
2.
Introduction: The "Learn Tableau with Realistic Projects" course aims to equip students with essential Tableau skills through practical, hands-on projects. Over two days, you'll build interactive dashboards, connect to various data sources, and master data visualization techniques.
Learning Objectives and Outcomes:
These objectives will help you build a solid foundation in data analysis and visualization, enhance your analytical skills, and prepare you for real-world data challenges.
Interactive dashboards are visual interfaces that provide real-time data insights through graphics such as charts, graphs, and maps. They allow users to manipulate and explore data interactively, facilitating better understanding and decision-making. Tools like Tableau software enhance this process, offering dynamic visualization capabilities. By opting for Tableau certification training or engaging in Tableau courses and classes online, professionals can effectively learn to build and manage interactive dashboards, making data analysis more intuitive and insightful. Tableau certification courses specifically equip learners with the necessary skills to proficiently use the software, turning complex data into actionable insights.
Connecting to diverse data sources involves integrating data from varied platforms and formats into a single, accessible system. This process requires securing and translating data from sources like databases, cloud storage, and APIs, enabling comprehensive analysis and reporting. Tools like Tableau help streamline this by offering robust features for connection and visualization. By undergoing Tableau certification training or enrolling in Tableau classes online, professionals can master techniques to efficiently gather and interpret disparate data, enhancing their ability to make informed decisions based on comprehensive data insights.
1. This 2-day Tableau course helps individuals master data analytics and visualization through interactive projects, targeting aspiring data professionals and analysts.
2.
Introduction: The "Learn Tableau with Realistic Projects" course aims to equip students with essential Tableau skills through practical, hands-on projects. Over two days, you'll build interactive dashboards, connect to various data sources, and master data visualization techniques.
Learning Objectives and Outcomes:
These objectives will help you build a solid foundation in data analysis and visualization, enhance your analytical skills, and prepare you for real-world data challenges.
