数据、AI 和云课程

• 基础技能水平
• 4.8+
• 196 条评价

Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.

• 中级技能水平
• 4.8+
• 11 条评价

在数据分析的每个阶段都使用 AI。 写出更精准的提示词，审核数据质量，发现值得追踪的洞见，并交付你可以信赖的成果。

• 中级技能水平
• 4.8+
• 84 条评价

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

• 中级技能水平
• 4.8+
• 107 条评价

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

• 中级技能水平
• 4.8+
• 39 条评价

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

• 中级技能水平
• 4.8+
• 62 条评价

GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.

• 中级技能水平
• 4.7+
• 63 条评价

Learn how to monitor, diagnose, and optimize Azure applications using Azure Monitor, Application Insights, and Log Analytics.

• 中级技能水平
• 4.8+
• 59 条评价

Master data cleaning in Java using statistical methods, transformations, and validation for reliable apps.

• 中级技能水平
• 4.7+
• 58 条评价

Learn to design scalable event-driven architectures in Azure using messaging services and real-world integrations.

• 高级技能水平
• 4.8+
• 217 条评价

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

• 中级技能水平
• 4.7+
• 138 条评价

Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

• 中级技能水平
• 4.8+
• 33 条评价

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

• 中级技能水平
• 4.8+
• 115 条评价

Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.

• 中级技能水平
• 4.8+
• 92 条评价

Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

• 中级技能水平
• 4.8+
• 28 条评价

Learn to solve increasingly complex problems using simulations to generate and analyze data.

• 高级技能水平
• 4.7+
• 71 条评价

Use survival analysis to work with time-to-event data and predict survival time.

• 中级技能水平
• 4.8+
• 137 条评价

Learn the bag of words technique for text mining with R.

• 高级技能水平
• 4.7+
• 71 条评价

Learn how to design, automate, and monitor scalable forecasting pipelines in Python.

• 中级技能水平
• 4.8+
• 25 条评价

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

• 中级技能水平
• 4.8+
• 82 条评价

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

• 基础技能水平
• 4.8+
• 242 条评价

Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.

• 中级技能水平
• 4.7+
• 53 条评价

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

• 基础技能水平
• 4.6+
• 74 条评价

Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

• 中级技能水平
• 4.8+
• 67 条评价

In this course youll learn how to use data science for several common marketing tasks.

• 中级技能水平
• 4.7+
• 139 条评价

Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

• 中级技能水平
• 4.9+
• 16 条评价

Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!

• 中级技能水平
• 4.7+
• 62 条评价

In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

• 高级技能水平
• 4.8+
• 95 条评价

Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.

• 高级技能水平
• 4.7+
• 68 条评价

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

• 基础技能水平
• 4.9+
• 20 条评价

Learn AI agent fundamentals — how they differ from LLMs, when to use them, and explore agent architecture, orchestration, and tools.