Tableau Analytics Platform

This two-day course caters to individuals who are new to Tableau. It is suitable for anyone who deals with data, irrespective of their technical or analytical expertise. Whether you are a data analyst, data scientist or administrator who is just starting with Tableau or anyone comfortable with Excel can get up to speed with Tableau.

This course covers the basic concepts and techniques working with Tableau Analytics Platform (Tableau Desktop, Tableau Server/Cloud), allowing you to analyse data and share insights effectively. Tableau Desktop lets you create beautiful visualizations and dashboards with an intuitive, drag-and-drop interface that lets you easily analyse, see and understand your data.

In this course, you will develop the essential skills necessary to analyse your data effectively using Tableau. You will gain expertise in connecting to various data sources, whether they are live or local extracts. Additionally, you will learn how to modify metadata, group fields, as well as employ sorting and filtering techniques. Comparing subsets of data using sets will also be covered.

Furthermore, this course will equip you with the ability to work with multiple data sources through relationships, joins, unions, and blends. You will learn how to construct commonly used charts, such as bar and line charts, text tables, highlight tables, bar-in-bar charts, dual axis charts, scatter plots, and maps.

Customizing data will be achieved by writing calculations and by using Table Calculations. By utilizing advanced analytics features, you will be able to incorporate reference lines and showcase data distributions.

Moreover, creating parameters will facilitate user exploration of data within the view. To convey your insights effectively, you will learn how to construct interactive dashboards and stories that guide specific data analysis. Finally, you will gain knowledge on sharing workbooks and publishing content on either Tableau Cloud, Tableau Server or Tableau Public.

This two-day course has been specifically designed for individuals who already possess a good level of proficiency in using Tableau and are eager to enhance their skills further.

It is required that you have either completed the ‘Tableau Creator – Fundamentals’ course or have a minimum of three months of experience using Tableau.

Prior to beginning this course, it is essential that you possess knowledge of how to establish a connection to data, create visualizations by utilizing fields on shelves and the marks card, filter, and sort data, as well as construct a dashboard. It is important to note that this course caters to individuals who are using Tableau Desktop (compared to web authoring).

You will learn how to effectively restructure data by using Data Interpreter, pivots, and splits. Furthermore, you will gain a deeper understanding of data sources, including how to replace them, employ relationship and join calculations, and create unions using wildcard searches.

Specifically focusing on challenges associated with blended data, you will receive valuable guidance on selecting the most appropriate method for combining data.

To enhance your filtering skills, you will learn how to use advanced filtering techniques to analyse subsets of data and filter across multiple data sources within a dashboard. Additionally, you will develop analytical capabilities by aggregating dimensions in calculated fields, customizing table calculations, and using level-of-detail (LOD) expressions to perform complex analysis.

To achieve more advanced analytics, you will be introduced to creating advanced parameters and displaying data trends and forecasts.

In relation to using geographical maps, you will discover the advantages of employing marks layers to present a greater amount of data. Furthermore, you will become familiar with best practices for selecting and formatting map types, as well as using background layers.

In terms of creating robust and customized dashboards, you will learn how to develop navigation buttons, use layout containers, and create personalized colour and shape palettes.

Lastly, you will become proficient in managing the content you have published, which includes data sources, extracts. You will gain knowledge on how to create subscriptions and set alerts on published views that you wish to track.