Tableau Fundamentals

Kursusindhold

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

Visualizing Data with Heatmaps

Heatmaps in Tableau are a powerful way to visualize data using color intensity to represent the magnitude of values. They help uncover patterns and trends within large datasets, making them easier to analyze and interpret.

Here are the key features of heatmaps:

Why Heatmaps?

Heatmaps are especially useful when analyzing large datasets. They highlight key points and patterns, such as:

Identifying high-performing regions or time periods;
Spotting trends and outliers in sales, profits, or other metrics.

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Sektion 3. Kapitel 1

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Kursusindhold

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

Visualizing Data with Heatmaps

Heatmaps in Tableau are a powerful way to visualize data using color intensity to represent the magnitude of values. They help uncover patterns and trends within large datasets, making them easier to analyze and interpret.

Here are the key features of heatmaps:

Why Heatmaps?

Heatmaps are especially useful when analyzing large datasets. They highlight key points and patterns, such as:

Identifying high-performing regions or time periods;
Spotting trends and outliers in sales, profits, or other metrics.

Var alt klart?

Tak for dine kommentarer!

Sektion 3. Kapitel 1

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