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Duration 14 hours
Course Outline
Introduction
- Core fundamentals of Python and SQL.
- An overview of Tableau’s features and architecture.
Getting Started
- Configuring the development environment.
- Exploring the principles of software integration.
Data Pre-processing in Python
- Importing essential libraries and datasets.
- Managing missing data values.
- Data normalization and formatting procedures.
- Conducting regression analysis.
Data Analysis with SQL
- Initializing the database setup.
- Bridging the connection between Python and SQL.
- Executing database queries.
- Data manipulation techniques, including filtering, sorting, and grouping.
Data Visualization using Tableau
- Design principles for effective visualization in Tableau.
- Building dashboards, charts, tables, and maps.
- Practical examples and real-world use cases.
Troubleshooting
Summary and Next Steps
Requirements
- Proficiency with SQL concepts and Tableau.
- Experience with Python programming.
Target Audience
- Data scientists.
- Developers.
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.