Analyze and Visualize Data using Tableau Course Overview

Analyze and Visualize Data using Tableau Course Overview

The "Analyze and Visualize Data using Tableau" course is a comprehensive Tableau analytics course designed to equip learners with the skills to analyze data and create compelling visualizations. It's an ideal Tableau course for beginners that starts with the basics and progressively covers advanced features. The course is structured into modules, each focusing on different aspects of Tableau, from connecting to data sources to creating sophisticated dashboards and stories.

Learners will start by understanding Tableau's interface and capabilities before diving into data connection. They will learn to simplify, sort, and organize data, followed by techniques to dissect data by date and use multiple measures. The course covers creating geographic mappings, customizing views, and performing quick table calculations. Advanced topics like table calculations, parameters, and forecasting ensure a well-rounded skill set. By the end of the course, students will be adept at using Tableau for real-world data analysis and visualization challenges.

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  • Live Online Training (Duration : 32 Hours)
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  • Live Online Training (Duration : 32 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

Certainly, for the "Analyze and Visualize Data using Tableau" course, the following minimum prerequisites are recommended for students to ensure they can successfully undertake and benefit from the training:

  • Basic understanding of data concepts, such as what constitutes a data set, data types, and the importance of data analysis.
  • Familiarity with using spreadsheets (such as Microsoft Excel or Google Sheets) for organizing and analyzing data, including basic operations like sorting, filtering, and simple calculations.
  • Comfortable with operating a computer, managing files and folders, and navigating software interfaces.
  • An analytical mindset with a willingness to learn and solve problems.
  • No prior experience with Tableau or other business intelligence tools is required, but it can be beneficial.

These prerequisites are designed to ensure that participants have the foundational knowledge necessary to grasp the concepts taught in the course. However, the course is structured to accommodate those who are new to Tableau, with the intent to guide them through the process of becoming proficient in using the software for data analysis and visualization.

Target Audience for Analyze and Visualize Data using Tableau

Learn to transform data into actionable insights with Koenig Solutions' Tableau course, ideal for professionals in data-driven roles.

Target audience for the Analyze and Visualize Data using Tableau course includes:

  • Data Analysts
  • Business Intelligence Professionals
  • Data Scientists
  • Reporting Professionals
  • Marketing Analysts
  • Project Managers
  • IT Professionals
  • Business Analysts
  • Data Consultants
  • Research Analysts
  • Financial Analysts
  • Operations Managers
  • Dashboard and Metrics Personnel
  • Anyone aspiring to gain skills in data visualization and analysis

Learning Objectives - What you will Learn in this Analyze and Visualize Data using Tableau?

Introduction to the Course's Learning Outcomes and Concepts Covered:

Through the "Analyze and Visualize Data using Tableau" course, you will master Tableau's powerful analytics and visualization tools, enabling you to transform raw data into insightful and interactive dashboards.

Learning Objectives and Outcomes:

  • Understand the fundamentals of Tableau and its application in data analysis.
  • Connect to various data sources and import data into Tableau for visualization.
  • Simplify complex datasets and sort data to enhance analysis.
  • Organize and manage your data effectively within Tableau for optimized visualization.
  • Learn to slice and dissect data using date fields to uncover temporal insights.
  • Combine multiple measures in a single view to create comprehensive visualizations.
  • Illustrate and analyze relationships between numerical values through advanced chart types.
  • Map data geographically to unveil spatial patterns and gain location-based insights.
  • Customize views to focus on specific values and refine data presentation.
  • Utilize quick table calculations for on-the-fly analytics without altering underlying data.
  • Break down whole sets into parts for detailed component analysis.
  • Apply reference lines to highlight important data points or thresholds in visualizations.
  • Share and publish your Tableau views and dashboards effectively.
  • Implement advanced calculations to answer complex data questions.
  • Integrate parameters to make visualizations more dynamic and user-interactive.
  • Create data extracts for optimized performance and offline analysis.
  • Compare multiple measures within your data to identify trends and correlations.
  • Utilize Tableau's built-in geocoding for accurate and insightful geographic data representation.
  • Interpret distributions to understand data spread and variability.
  • Explore statistical tools and forecasting methods within Tableau for predictive analysis.
  • Design interactive dashboards and stories that communicate findings compellingly.