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Tableau Full Course - Learn Tableau In 6 Hours | Tableau Training for Beginners | Simplilearn
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This video is an updated and complete Tableau Full Course, where you can learn Tableau in 6 Hours. This Tableau Tutorial is designed to guide you right from the introduction. The video includes the Business Intelligence fundamentals, Charts in Tableau, Calculated fields, and other crucial segments and finally, you will also learn to design and customize your own Tableau Dashboard that provides you with real-time interactive data visualization. The Tableau Training For Beginners video includes the following topics.
00:00:00 Why Tableau?
00:03:30 Tableau Products
00:06:52 Install Tableau
00:07:46 Tableau Interface
02:17:08 Live vs Extract
03:12:08 Create Tableau Dashboards
04:31:48 Tableau Interview Questions
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What is Tableau?
Tableau is an interactive data visualization tool focused on business intelligence. It helps in simplifying the job of representing the raw data in the form of easily understandable and interactive graphs and charts. Tableau enables connectivity with a wide range of data sources like cloud, CSV files, databases, and much more.
➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars
✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning
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