Tableau Training

Infoshare is the largest tech community in CEE and the organizer of the leading tech conference in Gdańsk. It connects startups, investors, corporations, and innovation enthusiasts. It promotes entrepreneurship, knowledge sharing, and networking. Through events, competitions, and programs, it supports the development of the tech ecosystem in Poland and the region.

Tableau is a tool for visual, Data Discovery-based data analytics. This BI tool quickly integrates with various data sources and allows analysis not only for specialists but also for anyone who wants to create readable visualizations based on their data.

• For analysts, marketers, accountants, and managers.
• For anyone who makes data-driven decisions on a daily basis.

• Acquire skills in using Tableau, an advanced tool for visual data analysis that enables integration with various data sources and creating readable visualizations.
• Familiarize with the basics of Business Intelligence (BI), including the role of BI in the data processing process and comparisons of Tableau with PowerBI.
• Learn how to load and join data in Tableau and use available knowledge sources for self-learning.

• Master the basics of Tableau: creating charts, managing data granularity and hierarchies, and understanding the impact of variable types on visualizations.
• Create business logic: calculated fields, parameters, understanding calculations in tables.
• Data mining elements: forecasting time series, clustering, trend lines.
• Present results in a dashboard, adapt to mobile devices, interactions between charts within a single dashboard.

1. INTRODUCTION
    • introduction to BI (what BI is, its role in the data processing process, comparison of Tableau and Power BI, knowledge base for self-learning)
    • loading and joining data in Tableau
    • knowledge sources for self-learning

2. BASIC FUNCTIONALITY – CREATING CHARTS AND BUSINESS LOGIC
    • types of charts (including presenting geographical data, time series, categorical and numerical variables)
    • data granularity and data hierarchies (automatic and self-defined)
    • impact of variable types on visualizations and chart formatting
    • creating custom business logic in Tableau – calculated fields (including LoD fields) and parameters (operations on dates, text, numbers, introduction to Tableau syntax), calculations in tables
    • exercises in Tableau to reinforce knowledge

3. DATA MINING ELEMENTS IN TABLEAU
    • time series forecasting
    • clustering
    • trend lines

4. PRESENTATION OF RESULTS / SHARING WORK EFFECTS
    • presenting charts on a dashboard
    • adapting dashboards to mobile devices
    • interaction between charts within a single dashboard
    • exercises in Tableau to reinforce knowledge

16 h/2 days