Data Visualization with Tableau: The Ultimate Guide

Learning Objectives:

Upon completion of the training, participants should be able to identify and select appropriate chart types (e.g., bar chart, line chart, pie chart, scatterplot) based on the specific data and analysis requirements to effectively communicate insights through data visualization.

Learning Objectives:

At the end of this training, participants should be able to effectively manipulate and utilize Tableau properties, auto-generated fields, data types, aggregation types, and marks cards to create meaningful data visualizations that convey insights from various datasets.

Learning Objectives:

Upon completing this training, participants should be able to efficiently import data from different sources, such as Excel, CSV, PDF, and SQL Server, and effectively navigate and utilize the metadata grid in Tableau to understand and manage the structure of imported datasets.

Learning Objectives:

Upon completion of this training, participants should be proficient in utilizing Tableau functions such as Data Interpreter, Pivot, Custom Split, Automatic Split, Joins (including Left Join, Inner Join, Right Join, Full Outer Join, and Cross Database Joins), Union, Data Extracts, and Data Source Filters to clean, transform, and combine data from various sources, enabling them to prepare datasets for effective visualization and analysis.

Learning Objectives:

At the end of this training, participants should be proficient in creating a wide range of charts and graphs, including crosstabs, text tables, highlight tables, heat maps, column charts, bar charts, stacked column charts, dual axis charts, and blended axis charts in Tableau, using both discrete and continuous data, to effectively represent and visualize data for different analytical needs.

Learning Objectives:

At the end of this training, participants should be able to effectively select and create a diverse set of visualizations, including scatter plots, pie charts, treemaps, heat maps, packed bubble charts, word clouds, symbol maps, filled maps, histograms, and area charts in Tableau, catering to different data types and business scenarios, to communicate insights and patterns from data visually.

Upon completion of this training, participants should be able to proficiently utilize Tableau functions such as sorting, hierarchy creation, grouping, sets, filters, date filters, dependent interactive filters, and tooltip command buttons to manipulate and enhance data visualizations, enabling effective data exploration, analysis, and presentation.

Learning Objectives:

After completing this training, participants should be proficient in creating and using calculated fields in Tableau, including string functions, date functions, type conversions, and logical functions (IF_ELSE and CASE_WHEN), to perform data manipulations, aggregations, and conditional logic within Tableau worksheets, and effectively work with grand totals and subtotals in their data visualizations.

Learning Objectives:

Upon completion of this training, participants should be proficient in utilizing advanced calculation techniques in Tableau, including Quick Table Calculations, Level of Detail (LOD) expressions (Fixed LOD, Include LOD, and Exclude LOD), and Parameters, to gain a deeper understanding of data relationships, perform complex calculations, and create more advanced and customized data visualizations to address specific analytical challenges.

Learning Objectives:

After completing this training, participants should be able to effectively apply formatting techniques in Tableau, including formatting font styles, alignment, borders, shading, and editing axes for both standard and date-based axes, to enhance the visual appeal and clarity of their data visualizations and dashboards.

Learning Objectives:

At the end of this training, participants should be proficient in designing and developing interactive Tableau dashboards, utilizing the Tableau dashboard interface, actions, designer, and containers, to create cohesive and insightful data presentations that effectively convey information and facilitate data exploration for end-users.

Learning Objectives:

At the end of this training, participants should be proficient in sharing and publishing Tableau workbooks and dashboards, including exporting them in various formats, and publishing to different Tableau platforms, such as Tableau Online, Tableau Server, and Tableau Public, in order to make data-driven insights accessible and shareable with a wider audience.