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This video is based on Tableau Full Course. This tableau training for beginners is dedicated to helping beginners to learn the Tableau Fundamentals with a detailed theoretical explanation. The Video includes practical examples for a better learning experience. You will Learn Tableau in 8 hours. Some of the topics covered in this video are:

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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.

Why learn Tableau?
Everything we do is increasingly contributing to huge amounts of data which can be leveraged by organizations to increase their business. Organizations across the world make use of Tableau to analyze this huge amount of data and derive actionable insights from it. Tableau can help you to create complex and beautiful data visualizations. With its intuitive and user-friendly approach to data visualization, Tableau is today, a popular choice for big and small organizations.

️ 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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