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Course Outline
Introduction
- Core concepts of Python and SQL
- Overview of Tableau capabilities and architecture
Initial Setup
- Configuring the development environment
- Understanding software integration principles
Data Pre-processing with Python
- Importing libraries and loading datasets
- Managing missing data values
- Data normalization and formatting
- Conducting regression analysis
Performing Data Analysis with SQL
- Establishing the database
- Integrating Python with SQL
- Writing database queries
- Data manipulation (filtering, sorting, and grouping)
Data Visualization via Tableau
- Design principles for visualization in Tableau
- Building dashboards, charts, tables, and maps
- Reviewing practical examples and use cases
Troubleshooting
Conclusion and Future Directions
Requirements
- Working knowledge of SQL concepts and Tableau
- Experience with Python programming
Target Audience
- Data scientists
- Developers
14 Hours
Testimonials (2)
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.