Tableau Fundamentals

Course Content

Tableau Fundamentals

Tableau Fundamentals

1. Introduction to Tableau

What You Will Learn Tableau Installation First Steps Field Operations and Joins Challenge: Joining Tables and Splitting Columns Exploring the Data Pane Challenge: Identifying Top Performers by Profit Pages, Filters, and Marks Overview Challenge: Finding the Sub-Category with the Lowest Sales

2. Tools in Tableau

Dimensions and Measures Challenge: Comparing Sales and Profit by State Continuous and Discrete Fields Challenge: Identifying the Month with Lowest Sales Dimension Filters Measure Filters Challenge: Finding the Most Profitable Customer in Art Calculated Fields Challenge: Comparing California and New York to Other States Interactive Dashboards with Parameters Challenge: Finding the Sub-Category with the Most Sales Working with Sets Challenge: Analyzing Bookcase Profit Concentration Sets Applications

3. Basic Visualizations

Visualizing Data with Heatmaps Challenge: Identifying Top-Selling Sub-Category by Region Scatter Plots Challenge: Determining the Highest Sales and Profit by State Treemaps Challenge: Analyzing the Least Profitable Sub-Category Combination Charts Challenge: Comparing Sales and Profit Trends for Phones Sparklines

4. More Advanced Visualizations

Bullet Graphs Challenge: Analyzing Profit Changes Between 2016 and 2017 Stacked Area Charts Challenge: Identifying the Region with the Highest Profit Histograms Box Plots

Scatter Plots

A scatter plot in Tableau visually represents the relationship between two numeric fields. Each point on the chart corresponds to a combination of values from these fields, allowing you to analyze correlations, trends, and outliers effectively.

Here are the key features of scatter plots:

Why Scatter Plots?

Scatter plots are particularly useful for:

Analyzing the correlation between two measures (e.g., Sales vs. Profit );
Identifying outliers and trends within your data;
Gaining deeper insights by incorporating additional fields for color and size coding.

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Thanks for your feedback!

Section 3. Chapter 3

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Course Content

Tableau Fundamentals

Tableau Fundamentals

1. Introduction to Tableau

What You Will Learn Tableau Installation First Steps Field Operations and Joins Challenge: Joining Tables and Splitting Columns Exploring the Data Pane Challenge: Identifying Top Performers by Profit Pages, Filters, and Marks Overview Challenge: Finding the Sub-Category with the Lowest Sales

2. Tools in Tableau

Dimensions and Measures Challenge: Comparing Sales and Profit by State Continuous and Discrete Fields Challenge: Identifying the Month with Lowest Sales Dimension Filters Measure Filters Challenge: Finding the Most Profitable Customer in Art Calculated Fields Challenge: Comparing California and New York to Other States Interactive Dashboards with Parameters Challenge: Finding the Sub-Category with the Most Sales Working with Sets Challenge: Analyzing Bookcase Profit Concentration Sets Applications

3. Basic Visualizations

Visualizing Data with Heatmaps Challenge: Identifying Top-Selling Sub-Category by Region Scatter Plots Challenge: Determining the Highest Sales and Profit by State Treemaps Challenge: Analyzing the Least Profitable Sub-Category Combination Charts Challenge: Comparing Sales and Profit Trends for Phones Sparklines

4. More Advanced Visualizations

Bullet Graphs Challenge: Analyzing Profit Changes Between 2016 and 2017 Stacked Area Charts Challenge: Identifying the Region with the Highest Profit Histograms Box Plots

Scatter Plots

A scatter plot in Tableau visually represents the relationship between two numeric fields. Each point on the chart corresponds to a combination of values from these fields, allowing you to analyze correlations, trends, and outliers effectively.

Here are the key features of scatter plots:

Why Scatter Plots?

Scatter plots are particularly useful for:

Analyzing the correlation between two measures (e.g., Sales vs. Profit );
Identifying outliers and trends within your data;
Gaining deeper insights by incorporating additional fields for color and size coding.

Everything was clear?

Thanks for your feedback!

Section 3. Chapter 3

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