コース概要
Introduction
- The fundamentals of Python and SQL
- Overview of Tableau features and architecture
Getting Started
- Setting up the development environment
- Understanding software integration
Data Pre-processing in Python
- Importing libraries and datasets
- Handling missing data values
- Data normalization and formatting
- Performing regression analysis
Data Analysis with SQL
- Setting up the database
- Connecting Python and SQL
- Querying the database
- Manipulating data (filtering, sorting, and grouping)
Data Visualization using Tableau
- Design principles for visualization in Tableau
- Creating dashboards, charts, tables, and mapping
- Practical examples and use cases
Troubleshooting
Summary and Next Steps
要求
- Familiarity with SQL concepts and Tableau
- Python programming experience
Audience
- Data scientists
- Developers
お客様の声 (5)
私たちの分野に完璧に適合した例/演習
Luc - CS Group
コース - Scaling Data Analysis with Python and Dask
Machine Translated
トレーナーはどんな質問にも答えてくれた。
Caterina - Stamtech
コース - Developing APIs with Python and FastAPI
Machine Translated
トレーナーの実践的な知識と経験の移転。
Rumel Mateusz - Pojazdy Szynowe PESA Bydgoszcz SA
Machine Translated
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
コース - Build REST APIs with Python and Flask
As I was the only participant the training could be adapted to my needs.