
These are the files needed for the course to build the dashboard. You can also find the files on Github: https://github.com/Gaelim/Tableau-Dashboardsv
Navigate the Tableau Desktop user interface, connect to data from files, Tableau Server, or databases, and create worksheets, dashboards, and stories with the Show Me pane.
Create calculated fields to compute total from registered and casual, and fix nulls with if null. Analyze holidays using table calculations, average versus sum, and percent of total.
Pivot data in Tableau by converting casual and registered from measures to dimensions, fix totals, and build a line chart that accurately reflects the count.
Build charts, including line, heatmap, and pie, and assemble a flexible Tableau dashboard using new sheets, tiles, and floating layouts with interactive filters.
Preview a final Tableau dashboard featuring a heat map centered on days of the week, floating tiles, a gradient background, a filter, and a KPI comparing casual and registered riders.
Build a Tableau dashboard with a heat map ordered by ISO week weekday, a KPI table, and a quarters bar chart with gradient colors, fitting views to width.
Modify the dashboard background and chart shading, adjust fonts and grid lines, and apply a writer type filter across all worksheets to finalize the Tableau dashboard.
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.