Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.2+
• 212

In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

• IntermediateSkill Level
• 4.1+
• 199

Learn to use the Census API to work with demographic and socioeconomic data.

• IntermediateSkill Level
• 4.5+
• 192

Integrate AI/LLM applications with APIs, databases, and filesystems easier than ever before with the Model Context Protocol (MCP).

• BasicSkill Level
• 4.4+
• 192

Discover what all of the DeepSeek hype was really about! Build applications using DeepSeeks R1 and V3 models.

• IntermediateSkill Level
• 4.5+
• 188

Learn to build recommendation engines in Python using machine learning techniques.

• IntermediateSkill Level
• 4.4+
• 187

Master RAG with Weaviate! Embed text and images for retrieval, and experiment with vector, BM25, and hybrid search.

• AdvancedSkill Level
• 4.6+
• 183

Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training

• IntermediateSkill Level
• 4.6+
• 178

Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.

• AdvancedSkill Level
• 4.6+
• 174

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

• IntermediateSkill Level
• 4.3+
• 168

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

• IntermediateSkill Level
• 4.5+
• 163

Discover how to talk to your data using text-to-query AI agents with MongoDB and LangGraph.

• IntermediateSkill Level
• 4.7+
• 155

Create a healthcare AI agent using Haystack, an open-source framework for orchestrating LLMs and external components.

• BasicSkill Level
• 4.5+
• 151

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

• IntermediateSkill Level
• 4.8+
• 148

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

• IntermediateSkill Level
• 4.7+
• 146

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

• AdvancedSkill Level
• 4.4+
• 142

Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

• IntermediateSkill Level
• 4.4+
• 108

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

• AdvancedSkill Level
• 4.2+
• 108

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

• IntermediateSkill Level
• 4.7+
• 101

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

• IntermediateSkill Level
• 4.3+
• 96

In this course youll learn how to apply machine learning in the HR domain.

• AdvancedSkill Level
• 4.7+
• 94

Learn to process sensitive information with privacy-preserving techniques.

• BasicSkill Level
• 4.8+
• 91

Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.

• IntermediateSkill Level
• 4.6+
• 80

Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!

• IntermediateSkill Level
• 4.3+
• 71

Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.

• AdvancedSkill Level
• 4.3+
• 66

Are you curious about the inner workings of the models that are behind products like Google Translate?

• IntermediateSkill Level
• 4.4+
• 63

Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.

• IntermediateSkill Level
• 4.7+
• 41

Take Polars further with text manipulation, rolling statistics, DataFrame joins, and advanced analytics.

• IntermediateSkill Level

Learn to build agentic systems using LangGraph.

• IntermediateSkill Level

Learn to extend your LLM applications with external tools, so your applications can retrieve live data, perform computations, and take real-world actions.

• IntermediateSkill Level

Learn to build knowledge-grounded LLM applications that retrieve relevant information from structured and unstructured sources before generating responses.