数据、人工智能和云计算课程

• 中间的技能水平
• 4.6+
• 59

Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

• 中间的技能水平
• 4.8+
• 57

Use C++ to dramatically boost the performance of your R code.

• 中间的技能水平
• 5.0+
• 56

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

• 中间的技能水平
• 4.8+
• 55

Master data visualization in Julia. Learn how to make stunning plots while understanding when and how to use them.

• 中间的技能水平
• 4.9+
• 53

Continue learning with purrr to create robust, clean, and easy to maintain iterative code.

• 中间的技能水平
• 4.8+
• 51

Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

• 中间的技能水平
• 4.1+
• 50

Predict employee turnover and design retention strategies.

• 中间的技能水平
• 4.6+
• 45

Learn to build simple models of market response to increase the effectiveness of your marketing plans.

• 中间的技能水平
• 4.3+
• 30

Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network

• 中间的技能水平
• 4.6+
• 20

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

• 中间的技能水平

Learn to build agentic systems using LangGraph.

• 中间的技能水平

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

• 中间的技能水平

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

• 中间的技能水平

Learn to write effective prompts and systematically improve them through evaluation rather than intuition.

• 中间的技能水平

Learn to systematically measure and improve LLM application quality.

• 中间的技能水平

Learn to build conversational LLM applications — with reliable structured output, persistent conversation history, and real-time streaming.