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Tableau for Data Analysis

Price

EGP 4000

Duration

8 Sessions

About the Course

What You Will Learn:

  • Understand Business Intelligence concepts and how Tableau is used in real-world data analysis.

  • Connect Tableau to Excel and CSV files and prepare data correctly for analysis.

  • Identify and work with Dimensions, Measures, and data types effectively.

  • Build professional data visualizations including bar charts, line charts, scatter plots, and maps.

  • Apply filters, groups, sets, and hierarchies to control and organize data.

  • Create powerful calculated fields using Tableau functions and logical conditions.

  • Gain hands-on experience through a real-life business project.


Course Description:

In today’s data-driven world, organizations rely on data visualization and business intelligence tools to make faster and smarter decisions. Tableau is one of the most powerful and widely used tools for turning raw data into clear, actionable insights.

This course, Tableau for Data Analysis, is designed to take you from zero to dashboard builder using a practical, hands-on approach. You will learn how to connect Tableau to real datasets, explore and understand data, and build professional visualizations and interactive dashboards that communicate insights effectively.

Throughout the course, you will work with real business scenarios and datasets, focusing on best practices in data visualization, dashboard design, and analytical thinking. By the end of the course, you will be able to confidently analyze data, answer business questions, and present insights in a clear and impactful way.

The course is taught using Tableau Public (free version), making it accessible to everyone without the need for paid software. It is suitable for beginners with no prior Tableau experience, as well as professionals who want to add Tableau to their analytics skill set.



Course Content:

  1. Introduction to Business Intelligence & Tableau

    • What is Business Intelligence (BI)?

    • Data vs Information vs Insights

    • Introduction to Data Visualization

    • Tableau ecosystem overview

    • Tableau Public installation & setup

    • Tableau interface overview

  2. Data Connection & Data Structure

    • Connecting Tableau to Excel and CSV files

    • Understanding Live vs Extract connections

    • Data types and field roles

    • Dimensions vs Measures

    • Discrete vs Continuous fields

    • Data cleaning basics inside Tableau

  3. Charts & Data Visualization Basics

    • Understanding the Marks Card

    • Bar charts, line charts, and area charts

    • Pie charts (best practices)

    • Scatter plots

    • Choosing the right chart for the data

  4. Filters, Groups, Sets & Hierarchies

    • Dimension, measure, and date filters

    • Creating and using groups

    • Building hierarchies

    • Applying filters for interactivity

  5. Calculated Fields & Tableau Functions

    • Creating calculated fields

    • Basic arithmetic calculations

    • Logical functions (IF, IFNULL)

    • Aggregations (SUM, AVG, COUNT)

    • Date and string functions

  6. Time Series & Advanced Analysis

    • Working with dates in Tableau

    • Continuous vs discrete dates

    • Time-based analysis

    • Running totals

    • Trend lines and reference lines

  7. Dashboard Design & Interactivity

    • Dashboard vs worksheet

    • Layout containers and sizing

    • Formatting and design best practices

    • Color and typography guidelines

    • Dashboard actions (filters & highlights)

  8. Real-Life Project & Portfolio Building

    • Understanding business requirements

    • Defining KPIs

    • Dashboard planning

    • End-to-end Tableau project

    • Publishing dashboards on Tableau Public


Course Requirements:

  1. Basic computer skills (file management, using Windows or macOS).

  2. A laptop or desktop computer (Windows or macOS).

  3. A stable internet connection for downloading Tableau Public and datasets.

  4. No prior Tableau experience required.

  5. Basic knowledge of Excel is helpful but not mandatory.


Who This Course is For:

  • Students and fresh graduates interested in data analysis.

  • Excel or Power BI users who want to learn Tableau.

  • Anyone looking to build a data analytics portfolio.



Certification:

Upon completing this course, you will receive a certificate from Assaal Academy

Your Instructor(s):

Available Groups:

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