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Tableau

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Name : Mr. Jagadeesh
Duration: 50 Days

Course Description

Tableau is a great business intelligence and data visualization tool. Its interface is very dynamic. The best part of Tableau is that it is very helpful in getting data. Ultimately, it forms insightful reports. From those reports, you can gain implementable business insights. Get trained in this powerful tool from one of the Best Tableau Training Institutes in Hyderabad at Avinya and use data to solve complex problems Tableau Course in Hyderabad at Avinya provides detailed knowledge of Tableau Software that includes data connecting, sorting, and simplifying data, data organization, data slicing, utilization of multiple measures, numerical values, geographical data mapping, and quick table calculations. We offer hands-on practice on every chapter along with project implementation to understand better about tableau jobs. We have expert training faculties to offer the best coaching in the city to enhance your skills with a performance tracker based on the job requirements of top companies. Enjoy the unique specializations of our Tableau Course in Hyderabad

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Tableau Syllabus

Tableau

Tableau is a leading data visualization tool used for ‘data’ analysis and business intelligence. Tableau is one of the most fast-growing data visualization tools which is currently being used in the BI industry. Tableau can create a wide range of different visualization to interactively present the data. Tableau also comes with real-time data analytics capabilities and cloud support. Data analysis is very fast with Tableau and the visualizations created are in the form of dashboards and worksheets.
  1. No prior programming knowledge is required.
  2. It can connect to several data sources that other BI tools do not support.
  3. Tableau can connect to live data sources or can also extract data from external data sources; also it supports automatic extraction of data.
  4. It has got wide range of visualizations, i.e. we can build many types of charts i.e. we can build default charts and also advanced charts.
  5. Supports a centralized location to manage all published data sources within an organization.
  6. Mobile views give users more flexibility in viewing the reports.
  7. Predictive analysis is one of the good features.
  8. Tableau has got robust security for data.
  9. Third party integrations are also possible.
  1. Different BI tools in the market.
  2. Why Tableau?
  3. What is Visualization?
  4. Working procedure in Tableau
  5. Pre-requisites to learn Tableau
  1. Installation, Licensing
  2. Tableau Environment
  3. Connecting to various data sources
  4. Live Vs Extract connections
  5. Shelves and Marks card
  6. Dimensions and Measures
  7. Discrete Vs Continuous
  8. Building basic visualizations
  9. Axis – Individual, Dual, Blended axis
  1. What is a Join?
  2. Types of Joins
  3. What is Data Blending?
  4. When to use Data Blending
  5. Differences between Joining vs Data Blending
  1. What are Tableau default generated fields?
  2. Using Measure names and measure values
  3. Using Number of records
  4. Using Latitude and Longitude fields
  1. Geographical Analysis
  2. Spatial Files
  3. Custom Geocoding
  4. Background Maps
  5. Map Services
  6. WMS Services
  1. What is a Filter? Types of Filters
  2. Filters to a view
  3. Filtering on Dimensions
  4. Filtering on Measures
  5. Filtering on Dates
  6. Difference between normal filter and quick filter
  7. Difference between context filter and cascading filter
  8. Types of filter sharing
  9. What is a Parameter?
  10. Creating, usage of Parameters
  11. Limitations of Parameters
  1. What is a set?
  2. What is a combined set?
  3. What is a group?
  4. What are Aliases?
  5. Creating groups and defining Aliases
  6. What is a Bin?
  7. Working with Fixed sized bins, variable sized bins
  1. Types of Calculations
  2. Syntaxes
  3. Date Calculations
  4. Logical Calculations
  5. String Calculations
  6. Number Calculations
  7. PTD calculations – YTD, QTD, MTD, YOY
  8. LOD’s – Fixed, Include, Exclude
  1. Types of Charts
  2. Heat Map, Tree Map, Pie chart, Geographic map,
  3. Text table, Highlight table, Gantt chart, box plot chart, Bullet chart, Scatter plots, Line charts, Histogram charts
  4. Bar Chart, Circle chart, side by side circle chart,
  5. Line – Discrete, Continuous, Area – Discrete, Continuous
  6. Line chart with Dual axis, Combinational charts,
  7. Packed bubble chart
  8. Working with page shelf and creating motion charts
  9. Advanced Charts
  10. Bump charts, Control charts, Funnel charts
  11. Pareto charts, Waterfall charts, Bar in Bar charts
  12. Sparkline chart, Do nut chart, Half do nut chart…etc
  1. Types of servers
  2. Tableau server Pre-requisites
  3. Tableau server Installation
  4. Understanding various settings of server like
  5. Authentication types, Cache,
  6. users, SSL, Alerts, subscriptions,etc
  7. Tableau server Architecture
  8. User Creations – in server, through .csv files
  9. Different types of Roles for users, permissions for users.
  10. Creating Sites, Projects, groups
  11. Publishing Data sources, workbooks
  12. Publishing empty extracts
  13. Scheduling in Tableau server
  14. Publishing extract data sources with schedules
  15. Tableau server extracts as data sources
  16. Schedules for subscribing views
  17. Full refresh vs Incremental refresh
  18. Data security in Tableau
  19. TSM, Tabcmd &Tabadmin