Course Outline
Introduction
Working with Data
- Connecting data sources
- Connecting various databases
- Different data connection types
- Working with multiple data sources and data blending
Visual Analytics
- Creating basic data visualizations
- Sorting, filtering, and organizing data
- Using multiple measures on the same axis
- Showing relationships between values
- Grouping and forecasting
- Using charts
Mapping Data
- Geographical data mapping
- Tableau geocoding
- Advanced mapping and using background images
Basic Calculations and Aggregations
- Using parameters, measures, and dimensions
- Using sets
Using Dashboards
- Quick filters
- Actions
- Parameters
Advanced Analytics
- Advance calculations
- Using funnel charts
- Using control charts
- Using Bump charts
Tips, Tricks, and Best Practices
- Using parameters, calculations, sorting, filtering, and other functions
- Best practices when using Tableau
- Best practices when using graphs
- Best practices for data visualization
Summary and Next Steps
Requirements
- Data Scientist skill set (Domain: analytical techniques and methods)
Audience
- Data scientists
- Data analysts
Testimonials (5)
Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data.
Julia Kuczma - DLA Piper GSC Poland Sp. z o.o.
Course - Tableau Intermediate Training Course
The trainer answered all of my questions and gives us a walkthrough.
Mark Xavier Rimas - AIGSS- BPI
Course - Tableau Fundamentals to Advanced
The knowledge of trainor about the tool.
Kendrick Bacani - Thakral One Inc.
Course - Data analysis with Tableau
In terms of product knowledge, he’s really knowledgeable and very open to answer questions.
Cherry Espinili - Infinit-O Manila
Course - Tableau Fundamentals
I genuinely enjoyed the trainer's helping.