
Tableau Training In Hyderabad
About the Course
INTRODUCTION:
Tableau is greatly used because data can be analyzed very quickly with it. Also, visualizations are generated as dashboards and worksheets. Tableau allows one to create dashboards that provide actionable insights and drive the business forward. Tableau products always operate in virtualized environments when they are configured with the proper underlying operating system and hardware. Tableau is used by data scientists to explore data with limitless visual analytics.
SCOPE OF COURSE:
Developing, designing, and maintaining Tableau dashboards and analytics. Collect, refine, and prepare data for analytics and visualization. Managing and using the Tableau platform to extract meaningful insights from it. Preparing reports using various visualization and data modeling methods.
CAREER PROSPECTS / JOB ROLES:
Tableau Developer responsibilities include:
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Preparing data for use by Tableau.
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Establishing connections to Data Sources.
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Adding or Creating Dimensions, Measures and Calculations.
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Performing Data Modeling in Tableau Desktop.
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Developing Workbooks and Hyper Extracts on Tableau Desktop.
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Syllabus for Tableau Courses in Hyderabad
Introduction to Tableau
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Installing desktop Tableau
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Tableau help and online resources
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Tableau user interface
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File types and data types in Tableau,
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Green pills and Blue pills in Tableau
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Import/ Export files in Tableau,
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Live and Extracts Connections in Tableau
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Working with Excel interpreter,
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Visualizations in Tableau
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Converting data into ideal format,
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Mapping Data, Data Filtration and sorting
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Excluding data, Splitting data fields
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Understanding meta data,
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Dealing with missing values
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Green pills to blue pills,
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Blue pills to green pills
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Table calculations,
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Introduction to different plots in tableau
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Scatter plot
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Bar plot, Pie Charts
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Line and Area charts, Heap Maps
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Crosstabs, Maps, Tree maps, Packed bubble, Polygon Maps
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Combining multiple data source using join, blend, union.
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Creating Sets, Formatting pane, Tooltips
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With example mapping of data in tableau,
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Making Map view and error sorting
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Customizing maps, use of filters in maps, case study
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Importing calculations to workbook,
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calculation syntax.
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table calculations,
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level of detail expression in tableau, case study
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Publish to tableau online, publish to tableau server
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Project
FAQs on Tableau Course
What is Tableau?
Tableau is a data visualization tool that can be used by individuals to create easy-to-understand representations of difficult and complex calculations and scientific data. Instead of the user trying to decipher information given in a complicated format, data can be made easy to understand using pictorial representation.
How many days it will take to learn Tableau?
Tableau is considered a relatively easy-to-learn data analysis and visualization tool and can be mastered by anyone with enough time and practice. On average, it takes most people between two and six months to learn this software.
Is Tableau easier than Excel?
Both Excel and Tableau allow users to create nice-looking, basic charts and graphs, but the process is simpler in Tableau. Tableau can create advanced charts by merely dragging and dropping fields. Once created, the chart or graph can be changed to a different visualization with one click.
How many hours does it take to learn Tableau?
Tableau is a popular software, and gaining proficiency in it can be as useful as gaining expertise in digital skills such as front-end development or something of the sort. It is not merely something that can be done as a hobby. It has profound utility for individuals as well as corporations. Learning Tableau, even if there is no immediate need, can be beneficial for the future.
So, where and how do you learn Tableau?
In just one or two days, or even in a matter of hours, you can get acquainted with tableau and start using it efficiently and properly.
What Skills Will I Learn With a Tableau Certification?
Here are crucial skills you'll learn from Tableau certification that can help prepare you for a data analytics job:
Data analysis
Understanding data
Filtering, sorting, and grouping data
Math and statistics
Data visualization
Microsoft Excel and Google Sheets
Basic programming