Tableau Certification Training Course course detail

Description

RCS Technologies's Tableau classes help you learn this BI tool and work on the concepts of data visualization with a firm understanding of its architecture. You will become proficient in the concepts of filters, parameters, maps, graphs, dashboards, and table calculation. Furthermore, you will learn about data blending, data aggregation, and R connectivity in this online Tableau certification training course.

What will you learn

• Module 1 - Introduction to Data Visualization and The Power of Tableau

  1.1 What is data visualization? 1.2 Comparison and benefits against reading raw numbers 1.3 Real use cases from various business domains 1.4 Some quick and powerful examples using Tableau without going into the technical details of Tableau 1.5 Installing Tableau 1.6 Tableau interface

• Module 2 - Architecture of Tableau

  2.1 Architecture of Tableau 2.2 Interface of Tableau (Layout, Toolbars, Data Pane, Analytics Pane, etc.) 2.3 Tableau field types 2.4 Saving and publishing a data source 2.5 Live vs extract connection 2.6 Various file types 2.7 The ways to share and export the work done in Tableau Hands-on Exercise: 1. Play with Tableau desktop 2. Learn about the interface 3. Share and export existing works

• Module 3 - Charts and Graphs

  3.1 Basic Charts Histograms Box plot Motion Pie Bar Line Bubble Bullet Scatter Tree Heat maps Maps Text table Highlighted table 3.2 Dual axes graphs Pareto funnel Waterfall charts Market basket analysis (MBA) Hands-on Exercise: 1. Plot a histogram, tree map, heat map, funnel chart, and more using the given dataset 2. Perform market basket analysis (MBA) on the same dataset

• Module 4 - Working with Metadata and Data Blending

  4.1 Connecting to Data Source 4.2 Tableau data types 4.3 Connection to Excel 4.4 Cubes and PDFs 4.5 Management of metadata and extracts 4.6 Data preparation 4.7 Joins (Left, Right, Inner, and Outer) and Union 4.8 Dealing with NULL values, cross-database joining, data extraction, data blending, refresh extraction, incremental extraction, how to build extract, etc. 4.9 Advanced joins cross-database joining data blending Hands-on Exercise: 1. Connect to Excel sheet to import data 2. Use metadata and extracts 3. Manage NULL values 4. Clean up data before using 5. Perform the join techniques 6. Execute data blending from multiple sources

• Module 5 - Advanced Data Manipulations

  5.1 Mark and highlight 5.2 Groups 5.3 Sets (creating and editing sets, IN/OUT) Constant sets Computed sets Combined sets 5.4 Bins 5.5 Hierarchies 5.6 Folders 5.7 Sorting and Types 5.8 Using the Formatting pane to work with the menu, fonts, alignments, settings, etc. 5.9 Editing axes and annotations Hands-on Exercise: 1. Use marks to create and edit sets 2. Highlight the desired items 3. Make Groups 4. Apply sorting on results 5. Make hierarchies among the created sets

• Module 6 - Working with Filters

  6.1 Filters (addition and removal) 6.2 Filtering continuous dates, dimensions, and measures 6.3 Filtering in Tableau 6.4 Types of filters 6.5 Filtering the order of operations Hands-on Exercise: 1. Use the data set by date/dimensions/measures to add a filter 2. Use interactive filter to view the data 3. Customize/remove filters to view the result

• 6.1 Filters (addition and removal) 6.2 Filtering continuous dates

  7.1 K-means cluster analysis 7.2 Trend and reference lines 7.3 Visual analytics in Tableau 7.4 Forecasting, confidence interval, reference lines, and bands Hands-on Exercise: 1. Apply labels and tooltips to graphs, annotations, edit axes’ attributes 2. Set the reference line 3. Perform k-means cluster analysis on the given dataset

• dimensions

  8.1 Working on coordinate points 8.2 Plotting longitude and latitude 8.3 Editing unrecognized locations 8.4 Customizing geocoding, polygon maps, WMS: web mapping services 8.5 Working on the background image, including add image 8.6 Plotting points on images and generating coordinates from them 8.7 Map visualization, custom territories 8.8 How to create map projects in Tableau 8.9 Creating dual axes maps, and editing locations Hands-on Exercise: 1. Plot longitude and latitude on a geo map 2. Edit locations on the geo map 3. Custom geocoding 4. Use images of the map and plot points 5. Find coordinates 6. Create a polygon map 7. Use WMS

• and measures 6.3 Filtering in Tableau 6.4 Types of filters 6.5 Filtering the order of operations Hands-on Exercise: 1. Use the data set by date/dimensions/measures to add a filter 2. Use interactive filter to view the data 3. Customize/remove filters to view the result

  9.1 Calculation syntax and functions in Tableau 9.2 Various types of calculations, including Table, String, Date, Aggregate, Logic, and Number 9.3 Levels of details: fixed level, lower level, and higher level LOD expressions, including concept andsyntax Nested LOD expressions Aggregation and replication with LOD expressions 9.4 Quick table calculations 9.5 The creation of calculated fields 9.6 Quick LODs

• Module 8 - Working with Mapping

  10.1 Creating parameters 10.2 Parameters in calculations 10.3 Using parameters with filters 10.4 Column selection parameters 10.5 Chart selection parameters 10.6 How to use parameters in the filter session 10.7 How to use parameters in the reference line Hands-on Exercise: 1. Creating new parameters to apply on a filter 2. Passing parameters to filters to select columns 3. Passing parameters to filters to select charts

• Module 9 - Working with Calculations and Expressions

  11.1 What is a dashboard? 11.2 Building and formatting a dashboard using size, objects, views, filters, and legends 11.3 Best practices for making creative as well as interactive dashboards using the actions 11.4 Creating stories Including the intro of story points Creating as well as updating the story points Adding catchy visuals in stories 11.5 Adding annotations with descriptions; dashboards and stories 11.6 Highlight actions, URL actions, and filter actions 11.7 Selecting and clearing values 11.8 Dashboard examples using Tableau workspace and Tableau interface Hands-on Exercise: 1. Create a Tableau dashboard view, include legends, objects, and filters 2. Make the dashboard interactive 3. Use visual effects, annotations, and descriptions to create and edit a story

• Module 10 - Working with Parameters

  12.1 Introduction to Tableau Prep 12.2 How Tableau Prep helps quickly combine join, shape, and clean data for analysis 12.3 Creation of smart examples with Tableau Prep 12.4 Getting deeper insights into the data with great visual experience 12.5 Making data preparation simpler and accessible 12.6 Integrating Tableau Prep with Tableau analytical workflow

• Module 11 - Dashboards and Stories

  13.1 Introduction to R language 13.2 Applications and use cases of R 13.3 Learning R functions in Tableau 13.4 The integration of Tableau with Hadoop Hands-on Exercise: 1. Deploy R on Tableau 2. Create a line graph using R interface

• Module 12 - Tableau Prep

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• Module 13 - Integration of Tableau with R

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