Tableau Training

Tableau is a leading data visualization and business intelligence platform that empowers organizations to transform raw data into meaningful insights. With its user-friendly interface, Tableau allows users to connect to various data sources, create interactive dashboards, and generate visually compelling reports. Tableau's drag-and-drop functionality simplifies data exploration, making it accessible to both technical and non-technical users. Its advanced analytics capabilities enable users to uncover trends, patterns, and outliers, driving data-driven decision-making. Tableau is widely used across industries to enhance data analysis, streamline reporting processes, and communicate data-driven insights effectively to stakeholders.
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 Tableau Training

Qmatrix Technology is introducing some amazing content on Tableau. We take every step to ensure that it is prepared to keep in mind the industry requirements. We designed the syllabus to suit real-world requirements for the beginner and advanced levels.

Why take this Course?

Tableau is by far one of the best business intelligence tools available in the market today. After completing the Qmatrix Tableau reporting training course, you will be able to better analyze your business and develop highly insightful information.

Syllabus

  • Comparison and benefits against reading raw numbers
  • Real use cases from various business domains
  • Some quick and powerful examples using Tableau without going into the technical details of Tableau
  • Installing Tableau
  • Tableau interface
  • Connecting to Data Source
  • Tableau data types
  • Data preparation
  • Installation of Tableau
  • Desktop Architecture of Tableau
  • The interface of Tableau (Layout, Toolbars, Data Pane, Analytics Pane, etc.)
  • How to start with Tableau
  • The ways to share and export the work done in Tableau

Hands-on Exercise:

  • Play with Tableau desktop
  • Learn about the interface
  • Share and export existing works
  • Connection to Excel
  • Cubes and PDFs
  • Management of metadata and extracts
  • Data preparation
  • Joins (Left, Right, Inner, and Outer) and Union
  • Dealing with NULL values, cross-database joining, data extraction, data blending, refresh extraction, incremental extraction, how to build extract, etc. 

Hands-on Exercise:

  • Connect to Excel sheet to import data
  • Use metadata and extracts
  • Manage NULL values
  • Clean up data before using
  • Perform the join techniques
  • Execute data blending from multiple sources
  • Mark, highlight, sort, group, and use sets (creating and editing sets, IN/OUT, sets in hierarchies)
  • Constant sets
  • Computed sets, bins, etc.

Hands-on Exercise:

  • Use marks to create and edit sets
  • Highlight the desired items
  • Make groups
  • Apply sorting on results
  • Make hierarchies among the created sets
  • Filters (Addition and removal)
  • Filtering continuous dates, dimensions, and measures
  • Interactive Filters, marks card, and hierarchies
  • How to create folders in Tableau
  • Sorting in Tableau
  • Types of sorting
  • Filtering in Tableau
  • Types of filters
  • Filtering the order of operations

Hands-on Exercise:

  • Use the data set by date/dimensions/measures to add a filter
  • Use an interactive filter to view the data
  • Customise/remove filters to view the result
  • Using Formatting Pane to work with menu, fonts, alignments, settings, and copy-paste
  • Formatting data using labels and tooltips
  • Edit axes and annotations
  • K-means cluster analysis
  • Trend and reference lines
  • Visual analytics in Tableau
  • Forecasting, confidence interval, reference lines, and bands

Hands-on Exercise:

  • Apply labels and tooltips to graphs, annotations, edit axes’ attributes
  • Set the reference line
  • Perform k-means cluster analysis on the given dataset
  • Working on coordinate points
  • Plotting longitude and latitude
  • Editing unrecognised locations
  • Customising geocoding, polygon maps, WMS: web mapping services
  • Working on the background image, including add image
  • Plotting points on images and generating coordinates from them
  • Map visualisation, custom territories, map box, WMS map
  • How to create map projects in Tableau
  • Creating dual axes maps and editing locations

Hands-on Exercise:

  • Plot longitude and latitude on a geo map
  • Edit locations on the geo map
  • Custom geocoding
  • Use images of the map and plot points
  • Find coordinates
  • Create a polygon map
  • Use WMS
  • Calculation syntax and functions in Tableau
  • Various types of calculations, including Table, String, Date, Aggregate, Logic, and Number
  • LOD expressions, including concept and syntax
  • Aggregation and replication with LOD expressions
  • Nested LOD expressions
  • Levels of details: fixed level, lower level, and higher level
  • Quick table calculations
  • The creation of calculated fields
  • Predefined calculations
  • How to validate
  • Creating parameters
  • Parameters in calculations
  • Using parameters with filters
  • Column selection parameters
  • Chart selection parameters
  • How to use parameters in the filter session
  • How to use parameters in calculated fields
  • How to use parameters in the reference line

Hands-on Exercise:

  • Creating new parameters to apply on a filter
  • Passing parameters to filters to select columns
  • Passing parameters to filters to select charts
  • Dual axes graphs
  • Histograms
  • Single and dual axes
  • Box plot
  • Charts: motion, Pareto, funnel, pie, bar, line, bubble, bullet, scatter, and waterfall charts
  • Maps: tree and heat maps
  • Market basket analysis (MBA)
  • Using Show me
  • Text table and highlighted table

Hands-on Exercise:

  • Plot a histogram, treemap, heat map, funnel chart, and more using the given dataset.
  • Perform market basket analysis (MBA) on the same dataset.
  • Building and formatting a dashboard using size, objects, views, filters, and legends
  • Best practices for making creative as well as interactive dashboards using the actions
  • Creating stories, including the intro of story points
  • Creating as well as updating the story points
  • Adding catchy visuals in stories
  • Adding annotations with descriptions, dashboards, and stories
  • What is a dashboard?
  • Highlight actions, URL actions, and filter actions
  • Selecting and clearing values
  • Best practices to create dashboards
  • Dashboard examples; using Tableau workspace and Tableau interface
  • Learning about Tableau joins
  • Types of joins
  • Tableau field types
  • Saving as well as publishing the data source
  • Live vs extract connection
  • Various file types 

Hands-on Exercise

  • Create a Tableau dashboard view, include legends, objects, and filters
  • Make the dashboard interactive
  • Use visual effects, annotations, and descriptions to create and edit a story.
  • Introduction to Tableau Prep
  • How Tableau Prep helps quickly combine join, shape, and clean data for analysis
  • Creation of smart examples with Tableau Prep
  • Getting deeper insights into the data with a great visual experience
  • Making data preparation simpler and accessible
  • Integrating Tableau Prep with Tableau analytical workflow
  • Understanding the seamless process from data preparation to analysis with Tableau Prep
  • Introduction to the R language
  • Applications and use cases of R
  • Deploying R on the Tableau platform
  • Learning R functions in Tableau
  • The integration of Tableau with Hadoop

Hands-on Exercise:

  • Deploy R on Tableau
  • Create a line graph using the R interface
  • Connect Tableau with Hadoop to extract data
  • HR: Analyse the Attrition rate of Employees
  • Sales: Predicting Department wise Sales
  • Multi-Domain: Business Analytics Optimization
  • Marketing: Website Trend Analysis
  • Financial Analysis: Stock Market Prediction
  • Finance: Analyse ETF Trends

Category

Business intelligence

Training Mode

On/Offline

Duration

3-6 month

Availability

Weekdays/Weekend

Course Features

Placement Support

RealTime Projects

Free Career Guidance

Experience Trainers

Practical Classes

Free Demo Classes

Course Certification

Flexible Schedule

Our Student Reviews

Recently Asked Questions?

Our Tableau certification is open for:

  • Statisticians
  • Business analysts
  • Project managers
  • Data scientists
  • Testing professionals
  • BI professionals
  • Data visualisation analysts
  • Functional experts
  • College graduates
  • Professionals interested in analytics

Generally, Tableau is easy to learn and can be mastered by anyone with the interest and dedication to learn. Our course duration may last anywhere between two to six months.

The US Bureau of Labor Statistics and Forbes report a 28% growth in the field of data sciences until 2026, which is apparently pushing the demand for skilled Tableau professionals. Moreover, since data scientists widely use this technology, a Tableau certification will propel your career in the right direction.

Our certification course helps you learn the following to become a certified Tableau developer:

  • Basics to build a strong foundation in the topics
  • Skills like data transformation, connection, visualisation, line graph-building, creating bar charts and dashboards, Tableau integration with R,
  • Tableau Prep, and calculations and expressions.
  • Hands-on experience with projects, assignments, and case studies.
  • Certifications like Tableau Certified Professional, Tableau Certified Associate, and Tableau Certified Specialist.

Tableau is a popular and complex BI and data visualisation tool. Although the course can be slightly challenging, our syllabus and accredited instructors will guide you through the intricacies. The course involves real-world, hands-on assignments that enhance your learning experience and help you become a certified Tableau professional with ease.

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