Status message

There is no scheduled class for this course. If you are interested in purchasing this course please click on the "Express Interest" button, fill in your contact information and submit a request for the course.
  • Course Length:
  • 2 Days Instructor Led

Telecom networks are continuing to transform in fundamental ways - cloud platforms are enabling networks to be run as software-based functions. This enables the management of these networks to become software centric and thus require the use of scripting and software-oriented approaches to automate and manage tasks performed on these networks. All industries are starting to leverage feature-rich tools that analyze massive, varied data sets to complete tasks more productively and effectively. The Data Visualization Workshop teaches data visualization techniques by taking large datasets of network performance data and creating close to 50 visualizations. This includes visualizations like Line Charts, Scatter Maps, Tree Maps, Heat Maps, Box-Whisker Maps, Histograms and covers the use of Joins, Blends, Calculated Fields, Table Calculations, Parameters and Dashboards to create powerful visualizations.

Required Equipment
• Students will need a laptop with access to Tableau Desktop

This workshop is intended for anyone who wants to build knowledge and skills related to leveraging data tools to be more productive.

After completing this workshop, the student will be able to:
• Connect to a data source
• Visualize KPIs that change over time
• Visualize large data sets by leveraging power of Filters
• Visualize KPIs using Bar Charts, Scatter Maps and Pie Charts
• Visualize KPIs using Tree Maps, Heat Maps, Box-Whisker Maps
• Correlate/Compare data with Dual Axis and Histograms
• Use Joins and Blends to visualize data from multiple sources
• Visualize geographical data with Filled Maps
• Use calculated fields and parameters within visualizations
• Create a Dashboard and a Story using multiple visualizations

1. Data Visualization and Tableau
1.1. Getting started with Tableau
1.2. Navigation of Tableau
Exercise: Connect to data source
1.3. Dimensions and Measures
1.4. Visualizing Time Series
1.5. Use of Line Charts
1.6. Filtering Large Data Sets
1.7. Filtering Techniques
1.8. Comparing Categorical Data
1.9. Use of Bar Charts
Exercises: Creating Tableau Visualizations

2. Data Visualizations
2.1. Correlate KPIs using Scatter Maps
2.2. Using granularity for Visualizations
2.3. Pie Charts
2.4. Hierarchical data and Tree Maps
2.5. Visuals with color and Heat Maps
2.6. Data distribution and Box-Whisker Maps
2.7. Correlating two KPIs with Dual Axis
2.8. Using bins and Histograms for comparison
2.9. Correlating multiple KPIs with Multi-Measure Comparisons
Exercise: Creating Tableau Visualizations

3. Advanced Data Visualizations
3.1. Joins to visualize from two data sources
3.2. Geographical data and Filled Maps
3.3. Blends to visualize from two data sources
Exercise: Creating Visualizations with Joins and Blends
3.4. Modify data with calculated fields
3.5. Table Calculations and aggregated data
3.6. Parameters for interactive visualizations
3.7. Highlights to draw attention
3.8. Merging data with Groups
3.9. Sets
3.10. Creating a visual narrative with Dashboard and Story
Exercise: Creating a Dashboard

Suggested Prerequisites

• Basic knowledge of Excel