Tableau Desktop Level 3: Visual Analytics Training

Tableau Desktop Level 3: Visual Analytics Training is for experienced Tableau users who want to gain more knowledge regarding the leading practices for distributing information and insights. This technical course helps professionals design visualizations that are easy to understand and operate. After completing this program, you will be able to develop visualizations to leverage sensory and short-term memory more effectively.

This course will teach you to design stories and dashboards with the help of leading practices and utilize chart types to effectively solve specific questions. By the end of the course, you will develop a conceptual understanding of the Tableau interface and learn the effective ways to develop beginner to advanced level charts with step-by-step instructions. It teaches professionals the leading tips and tricks to operate more effectively and quickly in Tableau. With this course your confidence will increase, and you will be transformed into an expert who can easily create interactive, rich visualizations in Tableau.

Contact us to customize this class with your preferred dates, times and location.
You can call us on 1-800-961-0337 or Chat with our representative.

• Learning from basics of business instances.
• Learn how to format visualizations and dashboards for the maximized impact.
• How to utilize advanced Tableau techniques to address diversified businesses utilized cases.
• Applying advanced dashboard Techniques.
• Applying advance calculations to have in-depth insights into data.
• Incorporating diversified charts in analysis.
• Utilize parameters, calculations and table calculations in tandem.

The target audience for this course are business intelligence professionals having specialized interest in visualized data analytics. However, the professionals working as business analytics, data analytics professionals and IT analytics proficient in Tableau version 9 can upgrade themselves with advanced level of Tableau 10 new features.

However, if you are seeking to advance the data analytical skills with global certifications such as Tableau Desktop Level 2: Intermediate and Tableau Desktop level and Tableau Desktop level 3: Visual Analytics is the next step.

• 1. BASIC CHARTS
• a). Introduction
• b). Creating bar chart
• c). Creating stacked bar chart
• d). Creating line chart
• e). Creating scatter plot
• f). Creating heat map
• g). Creating text table (crosstab)
• h). Creating highlight table
• i). Creating area chart
• j). Creating pie chart
• k). Creating bubble chart
• l). Creating word cloud
• m). Creating tree map
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2. ADVANCED CHARTS
a). Introduction
b). Creating histogram
c). Creating small multiple chart
d). Creating shared axis chart
e). Creating combo chart (dual axis chart)
f). Creating bullet chart
g). Creating bar in bar chart
h). Creating donut chart
i). Creating unit chart
j). Creating box and whisker chart
k). Creating sparkline with indicators
l). Creating KPI text table
m). Creating waterfall chart
n). Creating population pyramid
3. INTERACTIVITY
a). Introduction
b). Creating motion chart
c). Creating dynamic column/row trellis chart
d). Creating top/bottom N filter
e). Displaying dimensions dynamically
f). Comparing one with everything else
g). Displaying and sorting measures dynamically
h). Creating custom date period filter
4. DASHBOARDS AND STORY POINTS
a). Introduction
b). Creating filter action
c). Creating URL action
d). Creating highlight action
e). Creating story points
f). Creating Infographic-like dashboard
5. MAPS AND GEOSPATIAL VISUALIZATION
a). Introduction
b). Adding data layers to map
c). Working with Web Map Service
d). Using path to display movement in the map
e). Creating custom territories
f). Mapping custom polygon
g). Using custom image background
h). Importing custom Geocoding
6. ANALYTICS
a). Introduction
b). Adding constant line
c). Adding trend line
d). Adding reference band
e). Using reference line
f). Performing cluster analysis
g). Performing linear regression with R
h). Visualizing forecast
7. DATA PREPARATION
a). Introduction
b). Using pivot and Data Interpreter
c). Using legacy Jet driver
d). Using schema.ini for resolving data type issues
e). Pivoting columns
f). Using blend
g). Using union
h). Using join