Tableau Data Analysis

18 Hours

Intermediate

4 Modules

LE 3,499.00
LE 5,500.00
LE 3,499.00
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This course is designed to provide a comprehensive introduction to data analysis using Tableau, an industry-leading data visualization tool. Participants will learn the essentials of connecting to data sources, creating impactful visualizations, and building interactive dashboards to derive insights. Key topics include data preparation, chart types, filtering, calculated fields, and advanced techniques like table calculations, data blending, and mapping. By the end of the course, students will be able to analyze trends, uncover insights, and effectively communicate data-driven stories, enhancing their analytical capabilities for business intelligence and decision-making. This course is ideal for individuals in data-driven roles, such as business analysts, data analysts, and anyone seeking to leverage Tableau for impactful data visualization and storytelling.
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151Days 8Hours 23Minutes 0Seconds
Vendor: Cloud Learning Academy
Categories: Data Visualization,
Product Type: Data Visualization
    • Course Outline
    • What you will learn
    • Audience profile
    Live Connections and Extracts: Explore creating live connections to data sources, understanding extracts, and saving metadata properties. Data Properties Management: Manage data properties, including creating aliases, defining geographical roles, and modifying data types and field names.
    Building Relationships and Joins: Learn to develop data models, create relationships, and understand when to use joins versus relationships. Data Model Management: Build robust models through practical skills in joining data sources, managing unions, and utilizing dimensions.
    Basic and Advanced Visualizations: Develop a range of visualizations, including bar charts, line charts, scatter plots, and maps. Organizing and Filtering Data: Use grouping, sets, hierarchies, and filters to align data for optimal visual representation. Dashboard Design: Create and format dashboards with interactive elements, layout options, and story points for data storytelling.
    Tableau Concepts: Understand dimensions and measures, discrete vs. continuous fields, and aggregations in Tableau. Exporting and Sharing Insights: Export visualizations and share data insights by preparing views and exporting to external applications like Microsoft PowerPoint.
    By the end of the course, you’ll gain proficiency in connecting, modeling, analyzing, and visualizing data, crafting interactive dashboards, and presenting data-driven insights effectively.
    This course is ideal for data analysts, business intelligence professionals, and anyone interested in using Tableau for data visualization and analysis.

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