数据、AI 和云课程

• 中级技能水平
• 4.7+
• 151 条评价

This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.

• 中级技能水平
• 4.7+
• 106 条评价

Learn how containers work in Azure, including registries, ACI, AKS basics, scaling, monitoring, and troubleshooting.

• 中级技能水平
• 4.7+
• 125 条评价

Learn to use Amazon Bedrock to access foundation AI models and build with AI - without managing complex infrastructure.

• 中级技能水平
• 4.7+
• 49 条评价

Learn how to pull character strings apart, put them back together and use the stringr package.

• 中级技能水平
• 4.7+
• 213 条评价

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

• 中级技能水平
• 4.9+
• 37 条评价

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

• 中级技能水平
• 4.7+
• 28 条评价

Learn to choose, build with, and secure AWS data stores including DynamoDB and S3 through hands-on console exercises and real-world scenarios.

• 中级技能水平
• 4.8+
• 246 条评价

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

• 中级技能水平
• 4.8+
• 90 条评价

Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

• 中级技能水平
• 4.7+
• 17 条评价

In this Google DeepMind course, you will learn the fundamentals of language models and gain a high-level of machine learning development pipelines.

• 中级技能水平
• 4.7+
• 186 条评价

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

• 中级技能水平
• 4.8+
• 230 条评价

Learn how to develop deep learning models with Keras.

• 中级技能水平
• 4.7+
• 103 条评价

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

• 中级技能水平
• 4.8+
• 178 条评价

Develop the skills you need to clean raw data and transform it into accurate insights.

• 中级技能水平
• 4.7+
• 81 条评价

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

• 中级技能水平
• 4.8+
• 215 条评价

Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

• 中级技能水平
• 4.7+
• 111 条评价

Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.

• 中级技能水平
• 4.8+
• 135 条评价

Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.

• 中级技能水平
• 4.7+
• 94 条评价

Streamline your AI projects by building modular models and mastering advanced optimization with PyTorch Lightning!

• 中级技能水平
• 4.7+
• 120 条评价

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

• 中级技能水平
• 4.7+
• 145 条评价

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

• 中级技能水平
• 4.8+
• 173 条评价

Learn to streamline your machine learning workflows with tidymodels.

• 中级技能水平
• 4.8+
• 165 条评价

Learn how to segment customers in Python.

• 中级技能水平
• 4.9+
• 18 条评价

Get hands-on with Claude Code, Anthropics terminal AI agent: master context, plan mode, custom commands, MCP, and hooks to ship real work you can trust.

• 中级技能水平
• 4.8+
• 150 条评价

Learn efficient techniques in pandas to optimize your Python code.

• 中级技能水平
• 4.8+
• 97 条评价

Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.

• 中级技能水平
• 4.7+
• 64 条评价

Learn to create, secure, and manage APIs with Azure API Management through hands-on practice.

• 中级技能水平
• 4.7+
• 76 条评价

Learn how to store, secure, scale, and process data in Azure using Blob Storage, Cosmos DB, queues, and event-driven services.

• 中级技能水平
• 4.8+
• 103 条评价

Master Amazon Redshifts SQL, data management, optimization, and security.

• 中级技能水平
• 4.7+
• 153 条评价

In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.