数据、人工智能和云计算课程

• 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.

• 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.

• 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.

• 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.

• 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.

• 基本的技能水平
• 4.7+
• 214

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

• 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.

• 基本的技能水平
• 3.9+
• 187

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

• 基本的技能水平
• 4.4+
• 184

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

• 基本的技能水平
• 4.6+
• 179

Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

• 基本的技能水平
• 4.4+
• 158

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

• 基本的技能水平
• 4.6+
• 152

Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

• 基本的技能水平
• 4.8+
• 151

This course provides an overview of the opportunities and challenges companies encounter in their digital transformation journey.

• 基本的技能水平
• 4.7+
• 143

Stop rewriting the same joins and calculations, and dive into well-governed, scalable analytics using Sigma data models.

• 基本的技能水平
• 4.4+
• 132

Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

• 基本的技能水平
• 4.2+
• 121

Elevate your analysis with this hands-on course using SQL with DataLab workbooks.

• 基本的技能水平
• 4.5+
• 113

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

• 基本的技能水平
• 4.8+
• 102

This course explores how organizations can use custom gen AI agents to help tackle specific business challenges.

• 基本的技能水平
• 4.7+
• 100

Innovating with Google Cloud AI

• 基本的技能水平
• 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.

• 基本的技能水平
• 4.8+
• 81

Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.

• 基本的技能水平
• 4.7+
• 81

Explore GDPR through real-world cases on data rights, breaches, and compliance challenges.

• 基本的技能水平
• 4.5+
• 75

You learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.

• 基本的技能水平
• 4.5+
• 73

Collaborate with AI to make recruiting, people ops, and policy engagement faster and fairer.

• 基本的技能水平
• 4.7+
• 72

Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.

• 基本的技能水平
• 4.8+
• 71

Exploring Data Transformation with Google Cloud