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Course Outline
Introduction
- Fundamentals of Python and SQL
- Overview of Tableau’s features and architecture
Getting Started
- Setting up the development environment
- Understanding software integration
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
- Connecting Python with SQL
- Executing database queries
- Data manipulation (filtering, sorting, and grouping)
Data Visualization using Tableau
- Design principles for visualization in Tableau
- Creating dashboards, charts, tables, and maps
- Practical examples and use cases
Troubleshooting
Summary and Next Steps
Requirements
- 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.
