The Hands-On Masterclass in Data Analytics with Tableau

Übersicht

Are you ready to become an Expert in Data Analytics? Do you want more practical, hands-on experience in Data Visualization and tools like Tableau?

Do you want to add a portfolio of dashboards to your resume so you can land your dream job in Data?

Lehrplan

• Introduction to Data Analytics and Tableau
Overview of Data Analytics
Introduction to Tableau: Interface and Features
Importance of Data Visualization
• Getting Started with Tableau
Installation and Setup
Connecting to Data Sources
Understanding Tableau Workbooks and Projects
• Data Connection and Preparation
Importing Different Data Formats
Data Cleansing and Transformation
Managing Metadata and Data Types
• Building Basic Visualizations
Creating Bar Charts, Line Charts, and Scatter Plots
Using Tableau's Show Me Feature
Formatting and Customizing Visual Elements
• Advanced Visualization Techniques
Dual-Axis Charts and Combination Charts
Heat Maps and Highlight Tables
Creating Maps and Geographic Visualizations
• Dashboard Design and Interactivity
Building Interactive Dashboards
Adding Filters and Parameters
Designing for User Experience
• Data Storytelling and Presentation
Crafting a Narrative with Data
Best Practices for Presenting Data Visually
Incorporating Story Points in Tableau
• Advanced Data Analytics with Tableau
Calculated Fields and Table Calculations
Level of Detail (LOD) Expressions
Trend Analysis and Forecasting
• Integrating Data from Multiple Sources
Data Blending Techniques
Combining Data with Joins and Relationships
Using Tableau Prep for Data Integration
• Sharing and Publishing Work
Exporting Dashboards for Different Formats
Publishing to Tableau Public and Tableau Server
Collaborating and Sharing Insights with Teams
• Building Your Portfolio
Selecting Projects for Your Portfolio
Documenting Your Analytical Process
Presenting and Communicating Your Work
• Case Studies and Real-World Applications
Examining Industry-Specific Case Studies
Practical Exercises and Assignments
Guest Speakers and Insights from Industry Professionals
• Final Project
Designing a Comprehensive Dashboard
Applying Learned Concepts and Techniques
Peer Review and Feedback Sessions
• Course Review and Next Steps
Recap of Key Learnings
Resources for Further Learning in Data Analytics
Career Pathways and Job Search Strategies in Data Analytics

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Unterrichtet von

Dee Naidoo

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Fachgebiete

Data Science