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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:
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
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
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
Filters, Groups, Sets & Hierarchies
Dimension, measure, and date filters
Creating and using groups
Building hierarchies
Applying filters for interactivity
Calculated Fields & Tableau Functions
Creating calculated fields
Basic arithmetic calculations
Logical functions (IF, IFNULL)
Aggregations (SUM, AVG, COUNT)
Date and string functions
Time Series & Advanced Analysis
Working with dates in Tableau
Continuous vs discrete dates
Time-based analysis
Running totals
Trend lines and reference lines
Dashboard Design & Interactivity
Dashboard vs worksheet
Layout containers and sizing
Formatting and design best practices
Color and typography guidelines
Dashboard actions (filters & highlights)
Real-Life Project & Portfolio Building
Understanding business requirements
Defining KPIs
Dashboard planning
End-to-end Tableau project
Publishing dashboards on Tableau Public
Course Requirements:
Basic computer skills (file management, using Windows or macOS).
A laptop or desktop computer (Windows or macOS).
A stable internet connection for downloading Tableau Public and datasets.
No prior Tableau experience required.
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
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