Advanced Tableau Training Course | DevelopIntelligence

Course Summary

The Advanced Tableau training course is designed to demonstrate an advanced level of Tableau knowledge.

The course begins by focusing on improving analytic ability along with increasing the data insights that a student is able to provide. Next, it explores beyond bar charts and into creating a variety of advanced charts, when to use them and how they help data analysts perform their jobs better. The course concludes by teaching students how to turn formatting into magazine-quality infographics, as well as how to quantify their impact.

Purpose

Learn how to improve analytical ability and the ability to provide data insights.

Audience

Students with a strong working knowledge of Tableau.

Role

Business Analyst - Data Engineer - Data Scientist - Project Manager - Q/A - Software Developer - System Administrator - Technical Manager - Web Developer

Skill Level

Advanced

Style

Fast Track - Hack-a-thon - Targeted Topic - Workshops

Duration

3 Days

Related Technologies

Tableau

Download

Productivity Objectives:

Leverage data to drive business
Utilize time series analytics
Chart the relationship between data

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about our training

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
Expert Practitioners

Industry experts with 15+ years of industry experience that bring their battle scars into the classroom.
Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
Fully Customized

One-size-fits-all doesn't apply to training teams. That's where we come in!

What You'll Learn

In the Advanced Tableau training course, you'll learn:

How to understand what keeps the CEO up at night
How to ask the right questions
Where to find answers to these questions
What makes a visualization effective
The Ninja Analyst Framework
Advanced Time Series Analytics
- Line Chart with Avg. Lines
- Cycle Plots o Line Chart with Year over Year Growth
- Line Chart with Percent Change and Difference
- Line Chart with Trend Line
- Running Total Charts
- Line Chart with Future Projection via Regression
- Forecasting
How to use them and when
How to interpret them
How to adjust them
Regression forecasting
Moving Average forecasting
Seasonal forecasting
- Using the datediff calc to show differences in time periods
- Control Charts
- Small Multiples
Distributions
- Percent of Total and Double Labels
- Bar Chart with Max Color Calc
- Seeing What’s Changed Beyond the Top 10
- Adding Ranks as a Dimension
- Highlight Tables
- Histograms
- Pareto Charts
Correlation Analytics and Relationships Between Data
- Scatter Plots
- Jitter Plots
- Quadrant Charts
- Actual vs. Budget or Actual vs. Target Bullet graphics
- Ratios
- “Relative To” Charts
- Linear Regression
How to create them
How to interpret them
When to use them
- Simple Multiple Linear Regression
- Understanding and testing for Statistical Significance with the Student’s T-test or Chi Square
Outlier Analysis
- Averages
- What’s changed and by how much and how big is the impact
- Standard Deviations
- 95th Percentile
- Box Plots
- Sets
- Clustering
When to use
How to interpret
How to adjust
- KPIs and BANS
BANS
Reference Line Comparisons
KPI Indicators with YTD vs. Prev YTD (or similar types of time periods)
Advanced Geographic Analysis
- Filled Map
- Symbol Map
- Dual Axis Map
- Custom maps
- Custom territories or regions
- Mapbox
- Background maps
Other Advanced Charts
- Barbell Charts
- Funnel Charts
- Marginal Histograms
- Advanced Dashboards
- Layouts
- Formatting
- Fonts
- Colors
- Key Insights
- Providing Recommendations
- Quantifying Insights and Impacts of Recommendations
- Adding Concrete Metaphors to Drive Your Message Home
- Story Points
Using these skills to advance your career and get promoted