Graph Data Modeling in Python will guide you through designing, implementing, and harnessing a variety of graph data models using the popular open source Python libraries NetworkX and igraph.

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

Python’s been the language of data science since before machine learning was trendy, and now you can use it for building AI ...

This is the repository for the LinkedIn Learning course Level Up: Python Data Modeling and Model Evaluation Metrics. The full course is available from LinkedIn Learning.. This course is integrated ...

Learn practical tips and techniques to explore and visualize your data before modeling in Python. Discover how to use tools and libraries to create powerful data visualizations.

Starting with the essential statistical and data analysis fundamentals using Python, you’ll perform complex data analysis and modeling, data manipulation, data cleaning, and data visualization using ...

Data modeling skills include conceptual and analytical thinking, data domain knowledge, data modeling languages and tools, such as SQL, ERD, or UML, and data governance and documentation practices.