NetworkX Courses and Certifications

PyCon US

NetworkX is Fast Now - Graph Analytics Unleashed

Discover NetworkX's power for graph analytics, from beginner-friendly API to accelerated backends. Learn to extract insights from data using advanced tools for scalable graph analysis.

• YouTube
• 28 minutes
• On-Demand
• Free Video

PyCon US

NetworkX is Fast Now - Graph Analytics Unleashed

Discover NetworkX's power for graph analytics, from beginner-friendly API to accelerated backends. Learn to extract insights from data using advanced tools for scalable graph analysis.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Learn Graphs and Social Network Analytics Using Python

614 ratings at Udemy

This course is absolutely designed for beginners , graph enthusiast ready to analyze the world using graphs

• Udemy
• 6 hours 24 minutes
• On-Demand
• Free Online Course

Network Analysis in Python: Getting Started

18 ratings at Pluralsight

Network science is an underutilized part of data science. This course will empower you to leverage the network data your company has. You'll learn about network wrangling and visualization, centralities, communities, and machine learning techniques.

• Pluralsight
• 1 hour 59 minutes
• On-Demand
• Free Trial Available

Mining Data from Networks

NetworkX is a widely-used data science and machine learning software library. This course will teach you the basics of implementing network analysis using NetworkX, including visualization, link prediction, and collaborative filtering systems.

• Pluralsight
• 1-2 hours
• On-Demand
• Free Trial Available

Prodramp

Graph Neural Networks Implementation in Python

Learn Graph Neural Networks implementation in Python, covering graph representations, node embeddings, message passing, and practical applications using NetworkX and PyG libraries.

• YouTube
• 1 hour 59 minutes
• On-Demand
• Free Video

Prodramp

Understanding Graph Neural Networks - Part 1

Comprehensive introduction to Graph Neural Networks, covering fundamentals, mathematics, and practical implementation using NetworkX and PyG. Ideal for beginners seeking hands-on experience with GNNs.

• YouTube
• 1 hour 55 minutes
• On-Demand
• Free Video

Nvidia

GPU-Acceleration for Pandas, NetworkX, and Apache Spark MLlib - Accelerating Data Science Tools

Discover GPU-accelerated data science tools for pandas, NetworkX, and Apache Spark MLlib. Learn about RAPIDS cuDF, accelerated data processing, and optimizing machine learning pipelines for enhanced performance and accessibility.

• YouTube
• 21 minutes
• On-Demand
• Free Video

EuroPython Conference

When a Biologist Met Python

Explore the intersection of biology and Python, discovering how this programming language revolutionizes research in computational biology and bioinformatics through various modules and tools.

• YouTube
• 25 minutes
• On-Demand
• Conference Talk

EuroPython Conference

When a Biologist Met Python

Explore the intersection of biology and Python, discovering how computational tools enhance biological research and improve scientific workflows.

• YouTube
• 25 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Optimization Using Flow Networks in NetworkX

Explore NetworkX for optimization using flow networks, covering library basics, network flow concepts, and solving the project selection problem with practical examples.

• YouTube
• 22 minutes
• On-Demand
• Conference Talk

EuroPython Conference

NetworkX Visualization Powered by Bokeh

Interactive network visualization using NetworkX and Bokeh in Jupyter Notebooks. Learn to create, manipulate, and update network structures with Python, enhancing data exploration and analysis of social networks.

• YouTube
• 23 minutes
• On-Demand
• Conference Talk

PyCon US

Exploring Eco Topics with Python

Learn to apply Python skills to pressing environmental issues, using tools like numpy, pandas, and matplotlib to analyze deforestation, wildlife trade, and carbon pollution data.

• YouTube
• 2 hours 59 minutes
• On-Demand
• Conference Talk

PyCon US

Improving Efficiency in Transportation Networks Using Python

Explore Python's role in optimizing transportation networks through real-world examples, including driver-load matching, network optimization, and decision-making using graph analytics and data science concepts.

• YouTube
• 28 minutes
• On-Demand
• Conference Talk

From SBOM to Call Graphs: Harnessing OSS Tools to Streamline Update Impact Analysis in Cloud Services

Explore OSS tools for efficient update impact analysis in cloud services, focusing on SBOM, IaC, and call graphs to streamline maintenance and enhance security decision-making.

• YouTube
• 31 minutes
• On-Demand
• Free Video