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Advanced Tableau

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.

Learn how to improve analytical ability and the ability to provide data insights.
Students with a strong working knowledge of Tableau.
Business Analyst - Data Engineer - Data Scientist - Project Manager - Q/A - Software Developer - System Administrator - Technical Manager - Web Developer
Skill Level
Fast Track - Hack-a-thon - Targeted Topic - Workshops
3 Days
Related Technologies


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

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
“I appreciated the instructor's technique of writing live code examples rather than using fixed slide decks to present the material.”


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