This course will enhance your understanding of Tableau as a data visualization and exploration tool. The objective is to deepen your knowledge of the platform and improve your understanding of what can be achieved with the available features in Tableau for authoring reports and dashboards.
Learners will complete hands-on labs to obtain skills that help them support report creators in their organisations, to improve dashboards and develop complex data sources, which can be efficiently refreshed and managed.
The course is designed for an audience with 6 months + Tableau experience and an interest in technical concepts like workbook performance, complex data sources and combining mismatched data.
This course can be taken standalone or as progression from – Tableau Fundamentals (QATBFUND).
Target audience
Intermediate and advanced users of Tableau Desktop, Prep and Server, with general experience in database design, data transformation, ETL processes and merging data sources. Suitable for Tableau super users who are responsible for creating reports and data sources for their organisation, capturing business logic in calculations and parameters, supporting other tableau creators with their questions.
You will be interested in deepening your understanding of Tableau and its flexible data visualisation features as a tool for storytelling, complex charts and multi-level dashboard design.
Module 1 Product and Overview
The aim of this first short section is to ensure learners know about the products in the Tableau ecosystem, what the installation/ update process looks like and will run through a typical end-to-end publishing journey for Tableau from .tds to Tableau online and end users.
Module 2 Data Sources: Connections & Purpose
This module takes a deeper dive into data sources and how to manage the sometimes-challenging formats that raw data arrives in, using the transformative capacities and reshaping features of Tableau such as split, data source filters, assigning data types and roles, Tableau Prep flows.
Module 3 Combining Data Sources
This module is about selecting and combining data sources from files, connecting to databases, reading tables in PDFs and using Unions, Joins, Relationships and Cross-database filtering, learning how the combination method chosen is affected by cardinality and granularity.
Module 4 Visualizing and Interactivity
This module is about designing visuals to find insights in the data, combining measures in charts and tables, leveraging parameters, tooltips, dashboard objects, filters and table calculations to create great interactive visualisations and dashboards.
Module 5 Enhancements
This module will consolidate learning across the previous modules and add performance optimisation techniques to the core concepts to ensure greater understanding and more confidence in using Tableau at the workplace.
Sınıf eğitimlerimizi Kıbrıs ofislerimizde düzenlemekteyiz. Kurumunuza özel eğitimleri ise, dilediğiniz tarih ve lokasyonda organize edebiliriz.