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Introduction to Data Visualization with Tableau

This introductory course aims to familiarize both professionals and enthusiasts with the principles of data visualization through the use of Tableau, a prominent tool in the field of business intelligence.

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Certificate :

After Completion

Start Date :

10-Jan-2025

Duration :

30 Days

Course fee :

$150

COURSE DESCRIPTION:

– This introductory course aims to familiarize both professionals and enthusiasts with the principles of data visualization through the use of Tableau, a prominent tool in the field of business intelligence.
– Attendees will gain the skills necessary to establish connections with diverse data sources, enabling them to effectively manipulate and model data for analysis.
– The curriculum will cover the creation of interactive visualizations, empowering participants to present data in a compelling and informative manner.
– Participants will also learn how to design dashboards that facilitate the extraction of actionable insights from complex datasets.
– By the end of the course, individuals will be equipped with the foundational knowledge and practical skills required to leverage Tableau for effective data visualization in their respective fields.

CERTIFICATION:

  1. Upon successful completion, participants will receive a Certificate in Data Visualization with Tableau, validating their ability to utilize Tableau for effective data analysis and reporting.

LEARNING OUTCOMES:

By the conclusion of the course, participants will possess the skills to:

– Grasp the Essential Components of Tableau: Familiarize yourself with the fundamental aspects of Tableau, which encompass Tableau Desktop, Tableau Server, and Tableau Online, each serving distinct purposes in data analysis and visualization.

– Establish Connections to Data Sources: Facilitate the importation of data from a variety of origins, including Excel spreadsheets, relational databases, and cloud-based services, ensuring a diverse data foundation for analysis.

– Data Transformation and Modeling: Utilize Tableau’s suite of data preparation tools to cleanse, reshape, and model data, thereby enhancing its quality and readiness for insightful analysis.

– Develop Visual Representations: Create engaging and interactive visualizations such as charts, tables, and maps that effectively convey data insights and facilitate understanding.

– Construct Comprehensive Dashboards: Integrate multiple visualizations into cohesive dashboards that narrate a compelling data story, enabling stakeholders to grasp complex information at a glance and support informed decision-making through shared access and collaboration.

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Course Curriculum

Introduction to Tableau
  1. Overview of Tableau and its components.
  2. Setting up Tableau Desktop.
Connecting to Data Sources
  1. Importing data from Excel, databases, and online services.
  2. Understanding data connections and privacy levels.
Data Transformation and Modeling
  1. Overview of BI Tools: Power BI, Tableau, QlikView, and Looker
  2. BI Platforms vs. Data Analysis Tools
  3. Introduction to Dashboards, Reports, and Data Visualization
  4. Selecting the Right BI Tool for Your Organization
  5. Hands-on Lab: Navigating a BI Tool Interface (e.g., Power BI or Tableau)
Fundamentals of Data Visualization
  1. Using Tableau’s data preparation tools for data cleansing.
  2. Creating relationships between tables.
Creating Visualizations
  1. Designing bar charts, line graphs, and maps.
  2. Customizing visuals for clarity and impact.
BI Strategy and Implementation
  1. Defining BI Objectives Aligned with Business Goals
  2. Key Performance Indicators (KPIs) and Metrics
  3. Building a Data-Driven Culture in Your Organization
  4. Challenges and Ethical Considerations in BI and Analytics
  5. Hands-on Lab: Defining KPIs and Building a BI Implementation Plan
Sharing and Collaborating
  1. Publishing dashboards to Tableau Server or Tableau Online.
  2. Sharing and collaborating with team members.
Capstone Project
  1. Develop a BI dashboard and analytics report for a mock business scenario.
  2. Use a BI tool to analyze a dataset, create visualizations, and present actionable insights.
  3. Include KPIs, visualizations, and a summary of findings.

Training Features

Expert-Led Instruction

Guidance from experienced Tableau professionals.

Hands-On Practice

Practical exercises to reinforce learning.

Interactive Discussions

Opportunities to engage with peers and instructors.

Assessments

Quizzes and assignments to evaluate understanding.

Capstone Project

A final project to apply skills in a real-world scenario.

Certification

A formal certificate upon course completion.

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