Data Visualization with Tableau

Data Visualization with Tableau

Data Visualization with Tableau is that the method of act complicated info with straightforward graphics and charts. information visualization has the ability to inform information-driven stories whereas permitting individuals to see patterns and relationships found in data.

Course Overview

Overview– In this initial course of this specialization, you'll discover what knowledge visualization is, and the way we will use it to see and perceive knowledge. victimization Tableau, we’ll examine the basic ideas of information visualization and explore the Tableau interface, distinguishing and applying the assorted tools Tableau needs to provide. By the end of the course you'll be able to prepare and import knowledge into the Tableau course and justify the connection between knowledge analytics and knowledge visualization. This course is intended for the learner World Health Organization has ne'er used Tableau before, or World Health Organization may have a refresher or wish to explore Tableau in additional depth. No previous technical or analytical background is needed. The course can guide you through the steps necessary to form your initial visualization from the start supported knowledge context, setting the stage for you to advance to the ensuing course within the Specialization.Xcelit Pro also provides tableau certification after the entire course is completed.

Key Features

  • 1. The visual analysis in a click
  • 2. Interactive dashboard
  • 3. Easy use
  • 4. Deals with big data what's data science
  • 5. Trending in the market
  • 6. Works across multiple platforms

Who should take this course?– This data visualization certification course is true for: Freshers: who area unit inclined towards a data oriented roles BA Analysts/Data Analysts/Data scientists: wanting to realize a necessary ability that might contribute to creating everyday business choices. 


  • 1. SQL
  • 2. DW concepts
  • 3. Fundamentals of Data Visualization

Course Syllabus

Module 1: Introduction to Data Visualization

  1. Benefits of data visualization
  2. How to make sense out of numbers

Module 2: Data visualization and Tableau

  1. Uses of Tableau
  2. Installation
  3. Architecture
  4. Features of Tableau

Module 3: Basic Visualization Design

  1. Exporting Data
  2. Connecting Sheets
  3. Loading into Tableau visualization engine
  4. Text Tables
  5. Bar
  6. Line
  7. Pie charts
  8. Basic maps 

Module 4: Advanced Visualization

  1. Highlight Tables
  2. Heat Maps
  3. Circle Plots
  4. Side by Side Bars
  5. Continues Lines
  6. Scatter Plots
  7. Dual Charts
  8. Area Charts
  9. Tree Maps

Module 5: Data Organization and Scripting

  1. Calculated Metrics
  2. Sorting
  3. Filtering
  4. Totals and Sub Totals
  5. Various Aggregated Measures
  6. Percentages
  7. Data Spotlighting
  8. Summary Card
  9. Date and time functions
  10. String Functions and logical functions
  11. Data Items
  12. Data behind your views
  13. Hierarchies
  14. Sets
  15. Groups
  16. Bins

Module 6: Visualization and Analytics

  1. Dual Charts
  2. Dual Axis
  3. Combination charts
  4. Gantt Charts for activity tracking
  5. Motion Charts
  6. Box and Whisker Plots
  7. Reference Lines
  8. Reference Bands
  9. Pareto Analysis
  10. Water Fall Charts
  11. Market Basket Analysis

Module 7: Time based Calculations

  1. Quick Table Calculations
  2. Custom Table Calculations
  3. YTD
  4. Parallel Period
  5. Moving Averages
  6. Running totals
  7. Window Averages
  8. Trend Lines and Predictive Models

Module 8: Location analytics

  1. Filled Maps
  2. Symbol Maps
  3. Geo Coding
  4. Online Maps
  5. Sorting in Maps
  6. Background Maps

Module 9: Incremental Loading and Blending

  1. Data Blending from multiple source systems
  2. Custom SQL Queries
  3. Creating Incremental Loads
  4. Creating File Extractions
  5. Parameters

Module 10: Integrating Tableau with R and Hadoop

  1. Connect to Hadoop Systems from Tableau
  2. Integrating Tableau with R
  3. Connecting to R Serve Parameterized R calls
  4. Mean, Median, Mode
  5. Standard Deviation
  6. Forecasting Models
  7. Adding YouTube videos