Course Details

Visual Analytics Fundamentals with Tableau

Data Analytics
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Created by

Last Update

September 12, 2023

Created On

July 01, 2023

Description

Tableau is a versatile data visualization and business intelligence software that allows users to explore, analyze, and present complex data sets in a visually appealing manner. It offers interactive tools to create interactive dashboards, reports, and charts, facilitating data-driven insights and effective communication.

Overview

The Tableau Foundation Course provides essential skills and knowledge for using Tableau in data analysis and visualization. **Participants learn data connections, visualization creation, filters, calculations, and interactive dashboard design**. The course enables transforming raw data into **meaningful insights and compelling visual representations**. Whether you're a beginner looking to get started with Tableau or an experienced user aiming to enhance your skills, this course will equip you with the knowledge and tools needed to create compelling data-driven stories.

Features

  • Course Materials
  • Course resources
  • Statistical Analysis
  • Practical Applications
  • Database Integration
  • Interactivity
  • Lifetime Dashboard Access
  • On demand recorded videos
  • Practical exercises
  • Quizzes & Assignments
  • Course completion certificate

What you'll learn

  • Tableau Desktop Setup
  • Data Source Connectivity
  • Dynamic Dashboard Design
  • Narrative Visualization
  • Extracting Actionable Insights
  • Data Sorting and Filtering
  • Marks and Encoding
  • Visual Styling Techniques
  • Line and Band Annotations
  • Visualizations in Tableau

Prerequisites

Curriculum

  • 17 modules

**Module 1: Introduction to Tableau**

Course overview and objectives

Importance of data visualization

What is Tableau and its role in data analysis?

Key features and capabilities of Tableau

**Module 2: Tableau Suite and System Requirements**

Overview of the Tableau suite of products

Use cases for Tableau Desktop, Tableau Server, and Tableau Online

Hardware and software requirements for Tableau

Configuring your environment for Tableau

**Module 3: Tableau Architecture and Its Benefits**

Understanding Tableau architecture

Components of Tableau architecture

How data flows through Tableau

Benefits of using Tableau for data visualization and analysis

**Module 4: Tableau Installation and Beyond**

Step-by-step installation guide for Tableau

Troubleshooting common installation issues

Hands-on practice: Creating your first Tableau visualization.

Importing and connecting to data sources

Course conclusion, recap of key concepts, and next steps

Understanding Data Types and Tableau Desktop UI

Exploring Live Connections and Extract Connections

Exploring Dimensions, Measures, and Data Discretization

Sets in Tableau

Sorting and Filtering

Advanced filtering

Hide, Unhide, Rename, Copy, Split

Parameters in Tableau

Introduction to Data Organization

Understanding the importance of data organization in Tableau

Overview of how Groups, Folders, and Hierarchies can help structure data

**Creating Groups**

Creating groups of related data points

Practical examples of when and how to use groups

**Utilizing Folders**

Organizing fields and measures into folders

Streamlining the Tableau workspace for improved efficiency

**Building Hierarchies**

Creating hierarchical structures for dimensions

Navigating and drilling into hierarchies for deeper insights

**Applying Hierarchies in Visualizations**

Using hierarchies to enhance visualizations

Creating drill-down experiences for end-users

**Best Practices**

Tips and best practices for effective use of Groups, Folders, and Hierarchies

Common mistakes to avoid when organizing data

**Case Studies and Hands-On Exercises**

Practical exercises demonstrating the creation and utilization of Groups, Folders, and Hierarchies

Analyzing real-world datasets to apply the concepts learned

**Advanced Techniques**

Exploring advanced scenarios where Groups, Folders, and Hierarchies play a crucial role

Customization and fine-tuning for complex data structures

**Q&A and Troubleshooting**

Addressing common challenges and questions related to data organization in Tableau

Troubleshooting issues and optimizing Group, Folder, and Hierarchy usage

This module focuses specifically on data organization within Tableau, teaching students how to effectively group, categorize, and structure data for more efficient analysis and visualization. It covers both foundational concepts and advanced techniques to cater to a range of learners.

-** Module: Marks Card, Part 1**

Introduction to the Marks Card

Understanding the purpose and significance of the Marks Card in Tableau

Overview of the elements and options available on the Marks Card

**Marks Type Selection**

Exploring different mark types (e.g., bars, circles, lines, text) and their use cases

Practical examples of choosing the appropriate mark type for specific visualizations

**Customizing Colors**

Using the color shelf on the Marks Card to assign colors to data points

Creating color-coded visualizations based on dimensions or measures

**Adjusting Mark Size**

Utilizing the size shelf to control the size of marks in your visualizations

Emphasizing data point importance or magnitude through size adjustments

**Module: Marks Card, Part 2**

**Adding Labels to Marks**

Using the label shelf on the Marks Card to display additional information about data points

Customizing labels with dimensions, measures, or custom text

**Enhancing Detail with the Detail Shelf**

Leveraging the detail shelf to add granularity to visualizations

Breaking down data points further to provide context and insights

**Creating Informative Tooltips**

Customizing tooltips to display relevant details when hovering over marks

Crafting tooltips to enhance user understanding of data points

**Advanced Mark Card Techniques**

Exploring advanced techniques for mark customization

Combining multiple mark properties to create complex visualizations

**Practical Applications and Exercises**

Hands-on exercises and projects applying the concepts learned in Part 1 and Part 2

Creating custom visualizations that showcase the versatility of the Marks Card

**Q&A and Troubleshooting**

Addressing common challenges and questions related to working with the Marks Card

Troubleshooting issues and optimizing mark customization

These modules provide a comprehensive exploration of the Marks Card in Tableau, covering its various features and customization options. By the end of this module, students will have a solid understanding of how to use the Marks Card effectively to create customized, informative, and visually appealing data visualizations.

**Module: Views in Tableau**

Introduction to Views

Understanding the concept of views in Tableau

The role of views in data exploration and communication -** Creating Basic Views**

Building simple views with data visualization techniques

Selecting appropriate chart types for different data scenarios

**Customizing Views**

Exploring view options for layout, size, and orientation

Formatting views for clarity and aesthetics

**Combining Multiple Views**

Working with dashboards to combine and interact with multiple views

Creating cohesive dashboards for comprehensive data representation

**Module: Highlighting in Tableau**

Introduction to Highlighting

The importance of highlighting in data visualization

Understanding how highlighting can draw attention to specific data points -** Highlight Actions**

Configuring highlight actions to interactively highlight related data points

Creating dynamic and responsive dashboards with highlight actions

**Customizing Highlighting**

Customizing the highlighting color and style to match your visualization's theme

Using highlighting to emphasize key insights and patterns

**Practical Applications**

Hands-on exercises and projects that apply the concepts of creating views and using highlighting effectively

Real-world scenarios showcasing the power of views and highlighting in data storytelling

**Q&A and Troubleshooting**

Addressing common challenges and questions related to creating views and highlighting in Tableau

Troubleshooting issues and optimizing view and highlighting usage

These modules provide a comprehensive understanding of creating views and utilizing highlighting techniques in Tableau. By the end of this module, students will be equipped with the skills to design effective data visualizations, construct interactive dashboards, and use highlighting to emphasize critical insights in their data presentations.

Font Formatting in Tableau

Alignment and Shading Formatting in Tableau

Border and Line Formatting in Tableau

Field Formatting in Tableau

Title Formatting in Tableau

Caption Formatting in Tableau

-** Module: Reference Lines, Bands, and Distributions**

**Introduction to Reference Lines and Bands**

Understanding the purpose of reference lines and bands in Tableau

Overview of how reference lines and bands enhance data visualization

**Creating Reference Lines**

Configuring reference lines to provide context and benchmarks in visualizations

Setting reference line properties, such as value, label, and formatting

**Utilizing Reference Bands**

Creating reference bands to highlight specific data ranges or intervals

Customizing reference band appearance and behavior

**Adding Distribution Lines**

Incorporating distribution lines to visualize data distributions and trends

Customizing distribution line properties for improved insights

**Module: Zero Lines and Drop Lines in Tableau**

**Introduction to Zero Lines and Drop Lines**

Understanding the significance of zero lines and drop lines in data visualization

How zero lines and drop lines can aid in data interpretation

**Creating Zero Lines**

Implementing zero lines to emphasize the zero point on axes

Customizing zero line appearance and behavior

**Using Drop Lines**

Incorporating drop lines to connect data points to axes for clarity

Configuring drop line properties to enhance data point visibility

**Practical Applications and Exercises**

Hands-on exercises and projects applying the concepts of reference lines, bands, distribution lines, zero lines, and drop lines

Real-world scenarios showcasing the versatility of these visualization elements

**Q&A and Troubleshooting**

Addressing common challenges and questions related to using reference lines, bands, distribution lines, zero lines, and drop lines in Tableau

Troubleshooting issues and optimizing the use of these elements

These modules provide a comprehensive understanding of using reference lines, bands, distribution lines, zero lines, and drop lines in Tableau visualizations. By the end of this Module, students will have the skills to enhance their data visualizations, emphasize key points, and improve data interpretation through the effective use of these elements.

Introduction to Charts

Bar (Column) Charts in Tableau

Pie Charts in Tableau

Treemap Visualization in Tableau

Packed Bubbles Visualization in Tableau

Calculated fields

Word maps or Word clouds

Bins and Histogram

Line Charts

Scatter Plot

Text tables

Maps

Dual Axes charts, Part 1

Dual Axes charts, Part 2

Conditional formatting, Part 1

Conditional formatting, Part 2

Funnel Chart and Types in Tableau

Gantt and Waterfall Charts in Tableau

Donut and Multiple Donut Charts in Tableau

Calendar Chart in Tableau

Dumbbell Chart in Tableau

Animation charts

Heat maps

Bullet graphs

Bump Chart

Database Functions in Tableau

Exploring Box and Whisker Plots

Mastering Box and Whisker Plots

Mastering Table Calculations

Understanding Running Total and Pareto Chart

Exploring the Analytics Pane

Advanced Analytics with the Analytics Pane

Leveraging Advanced Features in the Analytics Pane

Introduction to Time Series Analysis and Forecasting

Exploring Time Series Analysis and Forecasting Techniques

Mastering Time Series Analysis and Forecasting

Time Series Forecasting Methods and Applications

Instructors

Skoliko Faculty

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₹2500.00
  • Modules
    17 Modules
  • Duration
    15 Hours
  • Category
    Data Analytics

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