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Course Outline
Introduction
- Core concepts of Python and SQL
- Introduction to Tableau's features and architecture
Getting Started
- Configuring the development environment
- Comprehending software integration principles
Data Pre-processing in Python
- Importing libraries and datasets
- Managing missing data values
- Data normalization and formatting techniques
- Conducting regression analysis
Data Analysis with SQL
- Database setup
- Connecting Python to SQL
- Executing database queries
- Data manipulation through filtering, sorting, and grouping
Data Visualization using Tableau
- Design principles for effective visualization in Tableau
- Building dashboards, charts, tables, and maps
- Exploration of practical examples and use cases
Troubleshooting
Summary and Next Steps
Requirements
- Working knowledge of SQL concepts and Tableau
- Experience with Python programming
Intended Audience
- Data scientists
- Software 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.