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LinkedIn Learning

Tableau for Data Scientists

via LinkedIn Learning

Overview

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Take your Tableau skills to the next level. Learn how to format and filter messy data, use Tableau for data analysis, and visualize data with maps and dashboards.

Syllabus

Introduction
  • The power of Tableau for data scientists
  • What you should know
1. Green and Blue Fields: What Do They Mean?
  • Understand the difference between green and blue fields
  • How do green and blue fields affect rows and columns?
  • How do green and blue fields affect colors?
  • How do green and blue fields affect filters?
  • How do green and blue fields affect dates?
  • Challenge: Green and blue
  • Solution: Green and blue
2. Connecting to a Source of Data
  • How to connect to Excel sheets
  • How to clean Excel data with the data interpreter
  • How to connect to PDF files and extract tables of data
  • How to connect to a local database
  • Challenge: Connecting to data
  • Solution: Connecting to data
3. Combining Data
  • Combining data using relationships
  • What are the different ways of joining data?
  • How to join tables in the same data connection
  • How to join tables using a cross-database join
  • How to append one data source to another using unions
  • Challenge: Combining data
  • Solution: Combining data
4. When and How to Create Data Extracts
  • What are the pros and cons of using a data extract?
  • How to create a data extract
  • How to limit the data in a data extract
  • How to edit a data extract to include more data
  • Challenge: Working with extracts
  • Solution: Working with extracts
5. Comparing Measures
  • What are measure names and measure values?
  • Creating a combined axis chart
  • Creating a dual axis chart
  • Creating a bar in bar chart
  • Creating a multiple measure crosstab
  • Enhance a crosstab using colors to create a highlight table
  • Comparing two measures using a scatter plot
  • Enhance scatter plots using trend lines and animation
  • Challenge: Comparing measures
  • Solution: Comparing measures
6. Transform Your Data with Calculations
  • How do calculations work in Tableau?
  • Using calculations in a join
  • How do table calculations work?
  • Direction in table calculations
  • What are level of detail (LOD) calculations?
  • Calculate time durations
  • Using IF calculations
  • Challenge: Calculations
  • Solution: Calculations
7. Mapping Your Data
  • Just because you can, should you create a map?
  • How to create an area map
  • How to create a symbol map
  • Customizing the look of your maps
  • Create locations from coordinates
  • Create lines to connect locations on a map
  • Analyzing distances using buffer calculations
  • Challenge: Mapping
  • Solution: Mapping
8. Analytics
  • Using colors to highlight data
  • How to create reference lines
  • How to create reference bands
  • How to use motion to show changes over time
  • Challenge: Analytics
  • Solution: Analytics
9. Using Parameters for Greater Interaction
  • How are parameters different from filters?
  • How to use parameters in calculations
  • Create dynamic reference lines using parameters
  • Use a parameter to select dimensions and measures
  • Use a parameter to search free text fields
  • Top N analysis
  • Challenge: Parameters
  • Solution: Parameters
10. Dashboard Actions and Design Tips
  • How to use containers in a dashboard
  • How to create a tiled dashboard
  • How to create a floating dashboard
  • How to create device-specific dashboards
  • How to use filter actions
  • How to use highlight actions
  • How to use URL actions
  • How to use set actions
  • Challenge: Dashboards
  • Solution: Dashboards
11. Conclusion
  • How can I grow my data science and Tableau skills?

Taught by

Matt Francis

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