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Course Outline
Introduction
- Core fundamentals of Python and SQL
- Overview of Tableau’s features and architecture
Getting Started
- Configuring the development environment
- Understanding software integration principles
Data Pre-processing in Python
- Importing libraries and datasets
- Managing missing data values
- Data normalization and formatting
- Conducting regression analysis
Data Analysis with SQL
- Configuring the database setup
- Integrating Python with SQL
- Executing database queries
- Manipulating data through filtering, sorting, and grouping
Data Visualization using Tableau
- Visualization design principles within Tableau
- Building dashboards, charts, tables, and maps
- Practical examples and real-world use cases
Troubleshooting
Summary and Next Steps
Requirements
- Familiarity with SQL concepts and Tableau
- Python programming experience
Audience
- Data scientists
- Developers
14 Hours
Testimonials (3)
the immediate application of what is learned
Mariana Gomez - BANCO DE MEXICO
Course - Tableau Fundamentals to Advanced
Machine Translated
Small group, in-person for 3 days,
Annina - Ricardo AG
Course - SQL: Basics to Intermediate
I liked the pace of the training and the level of interaction. All participants were encouraged to actively partake in discussions around exercise solutions, etc.