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  • Batch Start Date
    Nov. 15, 2022
  • Number of Students
    20 Seats
  • Learning format
    Expert
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Description
Data Visualization with Tableau

Tableau is a prominent data visualization application that aids analysts in making sense of their data and generating commercial value from it. A data statistician may use Tableau to depict hard core data analyses in a way that stakeholders and clients can comprehend. It’s also simple to set up and use, allowing you to handle a wide range of data and disseminate it across departments and organizations

Key Features
  • 45 hours of training with an instructor
  • Much practice with current features
  • Learn by doing and go through the entire development cycle
  • Advance from basic to intermediate Knowledge of Data Visualization Specialist
Data Visualization with Tableau Pathway

• What are the advantages of data visualization?

• How do you make knowledge of mathematics?

• Tableau’s Applications 

• Tableau’s Installation 

• Tableau’s Architecture 

• Tableau’s Features

• Tables of text

• bar

• Draw a line

• Pie graphs

• Maps for beginners

• Data exporting

• Sheets that connect

• Using the Tableau visualization engine to load data

• Heat Maps

• Circle Plots

• Side by Side Bars

• Continued Lines

• Scatter Plots

• Dual Charts

• Area Charts

• Tree Maps

• Highlight Tables

• Metrics that have been calculated

• Organizing

• Filtration

• Subtotals and Totals

• Aggregated Measures of Various Types

• Numbers and percentages

• Data Highlighting is a term used to describe the process of highlighting data. Card with a Summary

• Functions for date and time

• Logical functions as well as string functions

• Data Points

• Data to back up your assertions

• Organizational structures

• Arrangements

• Organizations

• Containers

• Charts with two columns

• Axis Dual

• Graphs with several combinations

• Gantt Charts for tracking activities

• Charts of Motion

• Plots with Boxes and Whiskers

• Lines of Reference

• Bands of Reference

• The Pareto Principle

• Charts of Water Fall

• Analysis of the Market Basket

• Detailed Maps

• Maps of Symbols

• Geographical Coding

• Maps on the Internet

• Using Maps to Sort

• Maps of the Background

• Data blending from a variety of sources

• SQL Queries that are unique to you

• Working with Incremental Loads

• Extracting Data from Files

• Constraints

• Tableau can connect to Hadoop systems.

• Using Tableau and R together

• Using R to Make Parameterized R Calls 

• Mean, Median, and Mode are terms used to describe the average, median, and mode.

• Determining the standard deviation • Models for Forecasting

• Adding videos from YouTube