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    Tableau 2021 A-Z : Master Tableau for Data Science and BI

    Posted By: ELK1nG
    Tableau 2021 A-Z : Master Tableau for Data Science and BI

    Tableau 2021 A-Z : Master Tableau for Data Science and BI
    Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 6.19 GB | Duration: 9h 21m

    Tableau for Data Visualization, Business Intelligence (BI) and Data Science

    What you'll learn
    What are Business Intelligence (BI) and Data Visualization?
    What is Tableau?
    Various Tableau Products
    Tableau Public, Tableau Interface & Terminologies
    Data Connections using Tableau
    Sharing of Tableau Work
    Data Types in Tableau, Dimension Vs Measure, Discrete Vs Continuous data, Aggregations & Automatic Fields
    Combining Data: Joins, Data Blending & Union
    Organizing & Simplifying Data : Filters, Split, Sorting, Groups, Sets and Hierarchy
    Creating variety of charts using Tableau "Show Me" : Basic Charts
    Advanced Charts in Tableau including Geographic Maps
    Flexibility & Interactivity : Creating & Using Parameters
    Calculations: Calculated Fields, Quick Table Calculations & Table Level Calculations
    Level of Detail (LOD) expressions: Fixed, Include & Exclude
    Analytics using Tableau
    Dashboards: Create Interactive Dashboards using Dashboard Actions & Objects
    Creating Story

    Description
    Learn "complete Tableau" within 10 hours.

    This course covers A-Z of Tableau for Data Visualization, Business Intelligence (BI) and Data Science.

    It is intended to make the learners switch from a Beginner to an Expert level, so as to master the Tableau.

    This course has been made into 10 sections and covers all the Tableau topics as mentioned below:

    1. Introduction to BI & Tableau, Tableau Products, Tableau connections to Data Sources, Interface and Terminologies.

    2. Sharing of Tableau work (Publishing the work into Tableau Public Server).

    3. Data Types, Dimension Vs Measure, Continuous Vs Discrete Data, Aggregations and Automatic Fields generated by Tableau.

    4. Combining data using Joins, Data Blending and Union.

    5. Organizing & Simplifying Data (using Filters, Split, Sorting, Groups, Sets and Hierarchy).

    6. Basic Charts:

    Bar Charts

    Histogram

    Pie Charts

    Line & Sparkline Chart

    Combination Charts

    Text Tables

    Heat Map

    Tree Map

    7. Advanced Charts:

    Box & Whisker Plot

    Scatter Plot

    Bullet Charts

    Pareto Charts

    Waterfall Charts

    Gantt Charts

    Motion Charts

    Geographic Maps

    8. Advanced Tableau topics [Calculations, Parameters and Level of Detail (LOD) expressions].

    9. Analytics using Tableau – Trends, Predictive Analytics / Forecast and Instant Analytics.

    10. Creating effective and interactive Dashboards & Story.

    The course covers the theoretical aspects of each of the above topics followed by demo on each concept/technique. Also, assignments are included to enable the learner apply various concepts. Finally, quizzes are made available at the end of each section to check the understanding of the learner on various concepts.