- Introduction
- Tableau Interface
- Loading Data and Union Data
- Your First Visual
- Joining Data
- Calculations
- Windrow Calculation
- Pivot Data
- Heatmap
- Dashboard UI
- Final Dashboard Preview
- Dashboard Build Part 1
- Dashboard Build Part 2
What you'll learn
- Load Data in Tableau
- Data Wrangling in Tableau
- Data Visualization in Tableau
- Dashboards in Tableau
Description
Course Description:
Welcome to the Getting to Know Tableau Desktop course! Designed to transform beginners into proficient users, this course dives deep into the essentials of data visualization using Tableau Desktop. Whether you're a data enthusiast, business analyst, or someone looking to harness the power of data visualization, this course is tailor-made for you.
What You'll Learn:
Introduction to Tableau Desktop:
Overview of Tableau architecture and components.
Setting up and navigating the Tableau Desktop environment.
Loading Data into Tableau:
Importing data from various sources (Excel, SQL, cloud platforms, etc.).
Understanding data types and formats in Tableau.
Data Preparation and Cleaning:
Handling missing values and outliers.
Filtering and sorting data to enhance your visualizations.
Joining and Unifying Data:
Combining multiple data sources using joins (inner, left, right, and outer).
Unifying data with unions for seamless visualization.
Basic Visualization Techniques:
Building foundational charts.
Enhancing visuals with colors, sizes, and labels.
Advanced Visualization Techniques:
Delving into advanced charts like heatmaps
Calculations and Data Analysis:
Creating calculated fields to derive new insights.
Using Tableau Windows functions.
Implementing aggregations and understanding their impact on visuals.
Building Interactive Dashboards:
Assembling multiple visuals into a cohesive dashboard.
Create filters to control the dashboard user experience with ease.
Create a detailed background with different visual layers.
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About the instructors
- 4.43 Calificación
- 23223 Estudiantes
- 4 Cursos
Gaelim Holland
Senior Data Professional
Data Scientist with a robust background in omnichannel analytics, deep learning, and the integration of online and offline data for comprehensive funnel analysis. Leveraging expertise in data extraction, preparation, modeling, and deep learning techniques, I excel in driving conversion rate optimization through statistical science, A/B testing, and advanced data methodologies. Proficient in utilizing statistical testing tools, I am adept at maximizing online sales, revenue, and call-to-actions. Eager to apply my data science and deep learning proficiency in leadership or advisory capacities, especially in data-driven marketing and targeted acquisition domains
Student feedback
Course Rating
Reviews
The datasets do not have the exact same variables, and the Tableau controls are different from those in the video.