Course Details
Propel Your Tableau Career
Data Analytics
Created On
July 03, 2023Description
Tableau is a data visualization and business intelligence tool that helps users analyze, visualize, and understand data through interactive dashboards and visualizations. It supports data integration from various sources, offers real-time exploration capabilities, and enables collaboration and sharing of insights. It empowers individuals and organizations to make data-driven decisions effectively.
Overview
The "**Job Preparation Interview Questions**" course helps job seekers by providing comprehensive coverage of common interview questions, **teaching effective interview techniques and strategies, offering practice and feedback, building confidence, and increasing job offer prospects**. It equips jonnies with the skills and knowledge needed to excel in interviews and stand out from other candidates.
Features
- Comprehensive Curriculum
- Hands-on Practice
- Expert Instruction
- Job-Ready Skills
- Networking Opportunities
What you'll learn
- Comprehensive Interview Question Coverage
- Interview Techniques and Strategies
- Mock interviews and Feedback
- Personalized Guidance
- Overcoming Nervousness and Building Confidence
- Elevating Interview Performance
- Knowledge of Industry-specific Interview Practices
- Boosting Job Offer Prospects
Prerequisites
Curriculum
- 7 modules
What is Tableau?
Installation and setup
Connecting to data sources
Understanding the Tableau interface
Data organization in Tableau
Workbook (.twb) and packaged workbook (.twbx) differences
Data types supported in Tableau
Measures vs. Dimensions
Discrete vs. Continuous data
Introduction to filters in Tableau
Calculations and LOD Expressions
Creating connections with datasets
Data blending vs. data joining
Advanced data preparation techniques
Aggregation and disaggregation of data
Creating calculated fields
Creating interactive dashboards
Dual-axis and Gantt charts
Advanced chart types: Heatmaps, Treemaps
Using parameters
Designing stories in Tableau
Hierarchical fields and mapping in Tableau
Tableau Server and sharing dashboards
Performance optimization in Tableau
Context Filters vs. Regular Filters
Working with user roles in Tableau
Load testing and Tableau Data Engine
Integrating Tableau with other tools (R, Python)
Using Tableau with geographical data (longitude and latitude)
Embedding Tableau views into webpages
Viewing underlying data sources
Using Tableau Public and its data limitations
Viewing SQL commands generated by Tableau
Participants work on a real-world Tableau project.
Final project evaluation
Instructors
Skoliko Faculty
- 7 Modules
- 2 Hours
- Data Analytics
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