Tableau for Data Scientists
- Offered byLinkedin Learning
Tableau for Data Scientists at Linkedin Learning Overview
Duration | 6 hours |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Go to Website  |
Credential | Certificate |
Tableau for Data Scientists at Linkedin Learning Highlights
- Earn a certificate of completion from LinkedIn Learning
- Learn from expert faculty
- Access on tablet and phone
Tableau for Data Scientists at Linkedin Learning Course details
- Data scientists seeking to enhance their data visualization and analysis skills
- Master the fundamentals of Tableau to efficiently visualize complex datasets
- Develop skills to create interactive dashboards tailored for data analysis and presentation
- Understand advanced Tableau functionalities to manipulate and transform data for deeper insights
- Learn to integrate Tableau with statistical tools for robust data modeling and analysis
- If your work requires any sort of graphical visualization of data, chances are you’ve run into Tableau. If you’ve been using Tableau but want to learn how to really harness its full power for data science, join expert Matt Francis in this course as he shows you how to take your skills to the next level
- Matt starts with one of the most important features in Tableau: the difference between the green and blue pills (discrete and continuous data) and how this affects every single action Tableau performs
- He then shows how to connect to and combine data from different data sources, how to create different charts to make sense of data, ways to transform your data with calculations, and how to create interactive maps
Tableau for Data Scientists at Linkedin Learning Curriculum
Introduction
The power of Tableau for data scientists
What you should know
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?
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
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
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
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
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?
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
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
Using Parameters for Greater Interaction
How are parameters different from filters?
How to use parameters in calculations
Create dynamic reference lines using parameters
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
Conclusion
How can I grow my data science and Tableau skills?
Tableau for Data Scientists at Linkedin Learning Faculty details
Other courses offered by Linkedin Learning
Student Forum
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