This course is designed to guide learners through the essentials of Tableau, a leading data visualization tool, to help them transform raw data into insightful visualizations. Whether you're new to data analysis or looking to sharpen your Tableau skills, this course will enable you to make data-driven decisions with confidence.
The course starts with an introduction to Tableau, covering installation, product features, and core functionalities. From there, you'll explore both Tableau Public and Tableau Desktop Professional Edition, understanding the difference between live and extract connections. As you progress, you’ll learn key Tableau concepts, such as dimensions, measures, data types, and logical expressions, which lay the foundation for effective data visualization.
You'll then dive into a range of chart types, including bar charts, line charts, scatter plots, heat maps, and more. Hands-on exercises will help reinforce your learning, guiding you through practical examples like sales and profit analysis dashboards. Along the way, you'll discover the power of interactive features like filters, reference lines, and actions that enhance user experience in your dashboards.
This course is ideal for anyone interested in data analysis, business intelligence, or data visualization. It's suitable for beginners with no prior Tableau experience, as well as those who want to refresh or deepen their knowledge of the tool. No advanced technical skills are required, just a basic understanding of data concepts and an eagerness to learn.
By the end of the course, you'll have a deep understanding of Tableau's powerful features, including its core concepts, chart types, dashboard creation, and data preparation techniques.
The Complete Tableau Bootcamp for Aspiring Data Scientists
Overview
Syllabus
- Getting Started with Tableau
- In this module, we will introduce the course objectives, walk through the structure, and provide an overview of the Tableau ecosystem. You'll learn how to install Tableau Public and take your first steps with the Tableau interface. This foundational module sets the stage for deeper exploration and hands-on learning.
- Tableau Desktop Professional Edition
- In this module, we will guide you through the installation of Tableau Desktop Professional Edition and demonstrate how to connect Tableau to live and extract data sources. You’ll also learn about the differences between Tableau Reader, TWBX, and TWB files, equipping you with the essential skills to begin working with data in Tableau.
- Tableau Core Concepts
- In this module, we will explore fundamental Tableau concepts such as dimensions, measures, and the use of discrete versus continuous fields. You'll learn how to update data types, create calculated fields, and apply logical expressions to build more dynamic visualizations. By the end of this section, you'll be equipped with the essential tools to manipulate and analyze data in Tableau effectively.
- Chart Types
- In this module, we will dive into the various chart types you can create in Tableau, including bar charts, line charts, and scatter plots. You’ll learn how to use sorting, filtering, and advanced charting techniques such as heat maps and filled maps. By the end of this section, you'll be ready to create a wide range of compelling visualizations tailored to different types of data.
- More Chart Types
- In this module, we will dive into advanced chart types, including pie charts, tree maps, and dual-axis visualizations. You'll learn how to add custom shapes and animations to enhance your charts and improve data presentation. By the end of this section, you will be able to create more interactive, insightful, and visually appealing charts in Tableau.
- Dashboard and Stories
- In this module, we will guide you through the process of building powerful and interactive dashboards using hands-on exercises like profit and sales analysis. You will also learn how to enhance dashboards with interactive actions, use dashboard objects, and create compelling Tableau stories to present your findings effectively. By the end of this section, you’ll be equipped with the skills to design professional dashboards and share impactful data stories.
- Understand Table Calculations
- In this module, we will dive into table calculations, focusing on their application in real-world scenarios. You will learn how to create custom dates, apply ranking and percent total calculations, and understand the underlying scope and direction. This section will enhance your ability to perform advanced calculations and refine your data analysis in Tableau.
- Level of Detail Expressions
- In this module, we will introduce you to Level of Detail (LOD) expressions, essential tools for controlling the granularity of your data in Tableau. You'll learn how to use Fixed, Include, and Exclude LOD expressions to refine your analysis, and apply these techniques in practical exercises like cohort analysis. This section will empower you to work with more complex data relationships and enhance your ability to generate precise insights.
- Data Preparation (Introducing Relationships)
- In this module, we will explore the key data preparation concepts in Tableau, including the use of relationships, joins, and data blending. You will learn how to optimize your data model by using relationships instead of joins and blends, making your data analysis more efficient. Additionally, we’ll cover advanced techniques like cross-database joins and unions, enabling you to work with complex datasets across various sources.
Taught by
Packt - Course Instructors
