数据、人工智能和云计算课程

• 中间的技能水平
• 4.4+
• 248

Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.

• 中间的技能水平
• 4.6+
• 247

Learn how to use Python to analyze customer churn and build a model to predict it.

• 中间的技能水平
• 4.8+
• 246

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

• 基本的技能水平
• 4.4+
• 246

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

• 中间的技能水平
• 4.7+
• 245

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

• 基本的技能水平
• 4.6+
• 238

Enhance your KNIME skills with our course on data transformation, column operations, and workflow optimization.

• 中间的技能水平
• 4.5+
• 238

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

• 中间的技能水平
• 4.7+
• 237

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!

• 基本的技能水平
• 4.8+
• 236

Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

• 中间的技能水平
• 4.4+
• 236

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

• 中间的技能水平
• 4.7+
• 235

Learn how to design and implement triggers in SQL Server using real-world examples.

• 基本的技能水平
• 4.5+
• 235

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

• 基本的技能水平
• 4.7+
• 234

Use your knowledge of common spreadsheet functions and techniques to explore Python!

• 基本的技能水平
• 4.7+
• 233

Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

• 先进的技能水平
• 4.7+
• 230

Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

• 基本的技能水平
• 4.8+
• 229

Build interactive AI apps in Sigma using user input, actions, and polished interfaces, no coding required.

• 中间的技能水平
• 4.6+
• 226

Learn efficient techniques in pandas to optimize your Python code.

• 中间的技能水平
• 4.7+
• 220

This course is for R users who want to get up to speed with Python!

• 中间的技能水平
• 4.7+
• 218

Learn how to visualize time series in R, then practice with a stock-picking case study.

• 基本的技能水平
• 4.8+
• 216

Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).

• 基本的技能水平
• 4.3+
• 216

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

• 中间的技能水平
• 4.6+
• 215

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

• 基本的技能水平
• 4.7+
• 214

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

• 中间的技能水平
• 4.5+
• 214

From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

• 中间的技能水平
• 4.1+
• 213

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

• 中间的技能水平
• 4.6+
• 212

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

• 中间的技能水平
• 4.6+
• 210

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

• 先进的技能水平
• 4.7+
• 209

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

• 基本的技能水平
• 4.2+
• 209

Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.

• 基本的技能水平
• 4.4+
• 207

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