Tableau Desktop Part 1

Price
Net €
VAT €

Price
Price on Request

Duration
2 days

For companies and job seekers:
this course is 100% fundable!
 

Location

Course Language
English

Training Solutions
Online Live

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Python is one of the most important programming languages for data analysis, automation, and AI applications. Getting started with Python opens up clear access to modern software development and data-driven work in the digital environment.

Key topics

  • Basics of Python syntax and logic.
  • Working with variables, functions, and data structures.
  • Simple automation and scripting.
  • Introduction to data-oriented thinking.
  • Relevance of Python for AI, AI, and modern technologies.

Prerequisites
Basic understanding of digital processes and logical thinking. Programming skills are not required.

Target audience
Suitable for professionals, students, and career changers with an interest in programming, data, AI, and future-oriented technical topics.

Python creates a stable basis for getting started with data-based technologies and opens up a wide range of perspectives in development, analysis, and AI-related fields of work.

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Course content
  • Introduction to Tableau
  • Operation and basic settings
  • Connect data sources
  • Structure model
  • Back up file
  • Prepare data
  • Designing visualizations
  • Preparing data graphically
  • Change fields
  • Enable sorting
  • Form groups
  • Secure data sources
  • Share visualizations and sources
  • Make workbooks accessible for teamwork
  • Apply filters to worksheets
  • Use additional filter functions
  • Create dynamic filters
  • Customize displays
  • Add comments
  • Highlight important data
  • Design interactive charts
  • Apply design guidelines
  • Design dashboards
  • Adding functions to dashboards
  • Designing mobile dashboards
  • Develop stories
  • Add tooltips

Frequently asked questions

  • Tableau Desktop is software for data analysis and data visualization. Data is prepared in an understandable way and presented in interactive charts, dashboards, and reports.
  • Tableau Desktop is used to evaluate data, identify correlations, and support informed decision-making. Typical areas of application include business intelligence, reporting, and data analysis.
  • Tableau Desktop supports many data sources, including Excel, CSV, databases, cloud services, and relational systems. Data can be connected locally or online.
  • The user interface, initial visualizations, simple calculations, filters, chart types, and the structure of basic dashboards are covered.
  • Basic PC and data skills are helpful but not essential. The course starts gradually and is practical.
  • Tableau makes data visually understandable, interactive, and quick to evaluate. Trends, patterns, and outliers are much easier to identify than in tables.
  • Tableau Desktop can be used across all industries, including controlling, marketing, sales, management, IT, and data analysis.
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