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MIM1017 – Data Analytics & Visualization with Tableau (2 Days)

Description

MIM1017 – Data Analytics & Visualization with Tableau (2 Days)

Overview

In today’s data-driven business environment, the ability to analyze data and present insights visually is a critical professional skill. Tableau is a powerful data visualization and analytics tool that enables users to transform raw data into clear, interactive, and actionable dashboards that support better decision-making.

This program is designed to equip participants with practical, hands-on skills to analyze data, build meaningful visualizations, and communicate insights effectively using Tableau. Through guided exercises and real-world examples, participants will learn how to connect to multiple data sources, explore and analyze datasets, create dynamic dashboards, and apply best practices in data storytelling to support business performance and strategic decisions.

  • 90% positive reviews (111)
  • 1301 students

This program can be tailored to your specific business needs.

A little bit of personalization goes a long way. Ask us for a no-obligation Training Needs Analysis (TNA) so we can tailor this, or any other CSG program to meet your learning outcomes.

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Objectives

By the end of this program, participants will be able to:

  • Understand core concepts of data analytics and data visualization
  • Connect to, prepare, and manage data sources in Tableau
  • Create effective charts, graphs, and visual dashboards
  • Apply analytical techniques to uncover trends and business insights
  • Design interactive dashboards for reporting and analysis
  • Communicate insights clearly through visual storytelling

2 Days

  • Data Analysts and Business Analysts
  • Business professionals involved in reporting and decision-making
  • IT and System Support professionals
  • Finance, Operations, and Marketing professionals
  • Individuals seeking to enhance data visualization and analytics skills using Tableau

Modules:

Module 1: Introduction to Data Analytics & Tableau
  • Overview of data analytics and visualization
  • Role of data visualization in business decision-making
  • Introduction to Tableau and its key capabilities
  • Connecting to various data sources (Excel, CSV, databases)
  • Understanding data types and data structures
  • Managing data connections and extracts
  • Basics of data cleaning and preparation
  • Understanding dimensions and measures
  • Sorting, filtering, and grouping data
  • Exploring data for patterns and insights
  • Creating charts, tables, and graphs
  • Selecting the right visualization for different data types
  • Formatting and customizing visual elements
  • Creating calculated fields
  • Applying aggregations and analytical features
  • Using reference lines, trends, and forecasting
  • Designing dashboards for clarity and usability
  • Adding filters, parameters, and actions
  • Creating interactive user experiences
  • Principles of effective data storytelling
  • Structuring insights for business audiences
  • Avoiding common data visualization mistakes
  • Publishing dashboards to Tableau Server or Tableau Public
  • Sharing insights securely with stakeholders

Program Methodology

  • Hands-on Activities: Practical exercises to reinforce theoretical concepts.
  • Group Discussions: Opportunities for peer-to-peer learning and exchange of ideas.
  • Role Plays: Simulations of realistic situations to build practical skills.
  • Feedback Sessions: Reviews and reflections to encourage improvement.
  • Problem-solving Exercises: Develop critical thinking and decision-making skills.
  • Experiential Learning: Learning by doing, promoting active involvement.
  • Interactive Lectures: Engaging presentations by experts in the field.
  • Case Studies: Real-world scenarios for learners to apply their knowledge.
  • Quizzes & Tests: Regular assessments to track learning progress.

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