Introduction to Tableau
Tableau is a data visualisation and business intelligence tool used to create interactive dashboards and charts. Users may quickly connect to different data sources, do data analysis, and produce interactive graphics to share findings with Tableau. You may master data visualisation techniques and improve your capacity for meaningful data analysis and presentation by learning Tableau.
Skills you will learn
- Data visualisation concepts and techniques
- Connecting to various data sources and preparing data for analysis
- Creating interactive dashboards and reports with Tableau
- Advanced calculations, including calculated fields, table calculations, and level of detail (LOD) expressions
- Designing effective visualisations to communicate insights
- Using mapping and spatial analysis features in Tableau
- Best practices for data storytelling with Tableau.
Syllabus
- Overview of Tableau:
- Understanding the features and benefits of using Tableau for data visualisation and analysis.
- Setting up the Tableau environment, including installation and configuration.
- Connecting to Data Sources:
- Connecting Tableau to various data sources such as databases, spreadsheets, and cloud services.
- Understanding the difference between live and extract data connections.
- Data Wrangling:
- Cleaning and transforming data to prepare it for analysis.
- Using Tableau's data blending and aggregation features.
- Creating Visualisations:
- Building various types of visualisations such as bar charts, line charts, scatter plots, etc.
- Using calculated fields and parameters to enhance visualisations.
- Dashboarding:
- Creating and organising multiple views into a single dashboard.
- Customising the appearance and interactivity of dashboards.
- Advanced Topics:
- Using advanced features such as mapping, forecasting, and trend analysis.
- Using Tableau's scripting language, calculated fields, and parameters to automate and streamline processes.
- Best Practices and Troubleshooting:
- Best practices for designing effective visualisations and dashboards.
- Troubleshooting common issues and errors that arise when using Tableau.
Reason to join techspirals:
- Learn everything there is to know about modern technology, including artificial intelligence, machine learning, data science, and more.
- Through real-world projects and exercises, you may gain practical experience with these technologies.
- Discover new information from knowledgeable teachers who bring real-world expertise to the classroom.
- Get the most out of a flexible learning environment that lets you mix your study with other responsibilities.
- Develop a solid peer and industry network through cooperative learning opportunities.
- access to a large selection of learning resources and tools, such as online course materials and discussion forums.
Prepare for a fulfilling profession with prospects for career growth and progress in the in-demand industry of technology.