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Tableau Training & Certification

Tableau Training and Data Visualization using Tableau 10 Certification Training will make you an expert to utilise Tableau to create and distribute interactive and shareable dashboards. Learn about Data blending , Charts , Graphs,  LOD expressions ,Tableau Desktop, Tableau Public, Tableau Reader, and integrate Tableau with R. This Tableau Training will help you clear the Tableau Associate Certificate Level Exam


 

Tableau Training & Certification

 

About the training


  • Learn the key concepts of Data Visualization and how data can be transformed by cleaning, splitting, pivoting, and merging using Tableau 10.

  • Discuss the architecture of Tableau, establish connection with data sets , perform Joins on the data sets and explore the NEW CROSS JOIN that is now possible with data integration.


  • Discover new ways to analyze your data such as, quick highlighting, reference lines, and use the new Clustering feature. Create personalized, dynamic visualizations by using Parameters to take user input and drive the visualization. Discuss good design practices for dashboards and how to make them fully interactive using Actions. Perform extensive hands-on activities using Tableau 10 thereby emphasizing the concepts. This training will help you clear the Tableau Associate Certificate Level Exam.


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    Training Objectives







    During this Tableau Training, our certified Tableau instructors will help you:
    • Learn basics of Data Visualization, establish connection with the data set, perform Join on the data sets.

    • Manage extracts and Metadata, perform data granularity on aggregated data.

    • Learn about graphs including Bar graphs, Line graphs, Pie charts, Dual axis graphs and Area graphs with dual axis

    • Perform sorting, filtering and grouping with your datasets

    • Use Trend Lines, Reference Lines, and statistical techniques to describe your data

    • Create Dashboards by using different layouts and create stories

    • Create basic calculations including string manipulation, basic arithmetic calculations, custom aggregations, date math, logic statements and quick table calculations

    • Advance Level of Detail (LOD) problems with multiple use-cases for better clarification

    • Get your hands dirty with various heuristic LOD problems

    • Learn advance charts such as Waterfall charts, Pareto charts, Gantt Charts, Control Charts, Funnel Charts and Box and Whisker’s plot

    • Integrate Tableau with R & Hadoop and combine your visualizations into Interactive Dashboards and publish them to the Web




     

    Why learn Tableau?





    Tableau is one of the hottest trends in business intelligence.


    By 2020, the world is set to generate 50 times the amount of data as in 2011, according to a study by International Data Corporation (IDC).


    With this humongous amount of data and real business implications at play, business organizations across the world have the need for an easy to use tool to analyze data and derive actionable insights from it. Tableau helps organizations do exactly this – mining the data and visualizing business opportunities.


    Tableau is one of the many data-related tools that work alongside R, Python or D3.js that can help you to create complex and beautiful data visualisations.


    With its intuitive and user-friendly approach to data visualization, Tableau is today, a popular choice for organizations, big and small.



    More than 35,000 companies worldwide have truly transformed the way they uncover insights from data they possess.




     

    Who should go for this training?







    The Tableau 10 training at edureka is for all the professionals who are passionate about business intelligence, data visualization, and data analytics. For example:
    • Business Analysts

    • Business Intelligence Manager

    • Statisticians and Analysts

    • Data Scientists

    • Project Managers




     

    What are the pre-requisites?


    There are no pre-requisites for this training.

    Knowledge of R language and basic concepts of data analysis would be an advantage, but not necessary

     

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