Description
Objectives :
a). Build professional-quality reports, dashboards and custom visuals with Tableau Desktop
b). Master advanced tools like parameter actions, geospatial mapping, and predictive analytics
c). Learn the same advanced techniques used by business intelligence analysts and data scientists
d). Showcase your skills with unique course projects & assignments (with step-by-step solutions)
e). Learn from a best-selling instructor, featured author, and award-winning Tableau developer
Requirements :
a). We strongly recommend taking our Tableau for Beginners course before this one
b). This course is compatible with both Tableau Public (free) or Tableau Desktop (paid)
c). We’ll walk through the download & installation process (you do NOT need to have Tableau already installed)
d). Prior experience with analytics or BI platforms is helpful, but not required
a). Introduction
b). Relationships
1. Intro to Relationships
2. Logical and Physical Layers
3. Relationships vs. Joins
4. Requirements for Relationships
5. Creating Relationships
6. Optimizing Performance
7. Interface Differences (2020.2)
8. The 8 R’s of Relationships
9. Contextual Joins – Remain
10. Relevant
11. Retain
12. Recovered
13. Smart Aggregation
c). Dynamics Design
1. Intro to Dynamics Design
2. Visual Appeal
3. Background Templates
4. KPI Shapes
5. Info Icons
6. Instructions & Commentary
7. Flexibility
8. Multi-Dimensions
9. Multi-Measures
10. Dynamic Formatting
11. Sheet Selectors
12. Filter Menus
d). Parameter and Set Actions
1. Interactivtity
2. Parameters Actions
3. Multi – Measures
4. Index Chart
5. Year-Over-Year
6. Sheet Selector
7. Relative Dimensional Analysis
8. Set Actions
9. Proportional Brushing
10. Asymmetric Drilldown
11. Color Scaling
12. Viz Animations
e). Geospatial Mapping
1. Intro to Geospatial Mapping
2. Geospatial Data
3. The Mapping Workspace
4. Geospatial Use Cases
5. Standard Maps
6. Spatial Functions
7. Custom Territories
8. Map Hierarchies
9. Geospatial Customization
10. Map Layers
10. Map Layers
11. Background Maps | WMS
12. Background Maps | Mapbox
f). Advanced Calculations
1. Introduction to Advanced Calculations
2. Regular Expressions
3. Regular Expressions Functions
3. Regular Expressions Functions
4. Position-Based Table Calculations Functions
5. Index Top Filter
6. Choosing an LOD Type
7. Benchmarking & Time Flags
8. Customer Order Frequency
9. Cohort Analysis
10. New Customer Acquisition
10. New Customer Acquisition
g). Predictive Analysis
1. Introduction to Predictive Analytics
2. Regression Models
3. Trend Lines
3. Trend Lines
4. Forecasting
5. Control Charts
6. Clustering
7. R & Python Integration
8. Dashboard Extensions
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