What You Need to Know Before
You Start

Starts 7 June 2025 03:17

Ends 7 June 2025

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Tableau Desktop Specialist + Data Analyst Certification

All-in-One Guide to Pass the Tableau Desktop Specialist & Certified Data Analyst exams | 2 Full Practice Exams
via Udemy

4052 Courses


10 hours 2 minutes

Optional upgrade avallable

Not Specified

Progress at your own speed

Paid Course

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Overview

Do you want to enhance your skills and learn everything required to pass both the Desktop Specialist and Data Analyst exam?

Syllabus

  • Introduction to Tableau
  • Overview of Tableau Desktop
    Key functionalities and user interface
    Installing Tableau and setup instructions
  • Connecting to Data
  • Understanding data sources and establishing connections
    Working with different file types and databases
    Data extraction and live connections
  • Preparing Data
  • Data cleaning and transformation techniques
    Using data interpreter and pivoting data
    Creating data extracts and filters
  • Creating Visualizations
  • Building basic charts: bar charts, line graphs, scatter plots
    Advanced visualizations: maps, dual-axis charts, and histograms
    Creating dashboards and stories
  • Analyzing Data
  • Applying filters and sets
    Using calculated fields and table calculations
    Trend lines, forecasting, and clustering
  • Enhancing Analysis
  • Using parameters and calculated fields for dynamic analysis
    Advanced analytics features: LOD expressions
    Understanding reference lines, bands, and distribution models
  • Sharing and Collaborating
  • Publishing data to Tableau Server or Tableau Online
    Exporting to PDF, PowerPoint, and image formats
    Sharing visualizations on Tableau Public
  • Exam Preparation: Tableau Desktop Specialist
  • Overview of the exam format and topics
    Practice questions and review sessions
    Test-taking strategies and tips
  • Practical Case Studies
  • Hands-on exercises with real-world data
    End-to-end project: from data connection to dashboard creation
  • Introduction to Data Analysis
  • Key concepts in data analysis and statistics
    Exploratory data analysis techniques
  • Preparing for Data Analyst Certification
  • Overview of the exam and skill requirements
    In-depth analysis practice tasks
    Mock exams and revision sessions
  • Course Conclusion
  • Review of key concepts and skills
    Next steps in further learning and certification paths
    Resources for continuous learning and support
  • Final Assessment
  • Comprehensive project or exam encompassing course material

Taught by

Nikolai Schuler and Ben Butters


Subjects

Data Science