数据、人工智能和云计算课程

• 基本的技能水平
• 4.4+
• 3.8K

No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.

• 先进的技能水平
• 4.5+
• 3.8K

Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!

• 基本的技能水平
• 4.6+
• 3.8K

Discover what it takes to scale AI agents, with a little help from frameworks like MCP and A2A.

• 基本的技能水平
• 4.6+
• 3.8K

Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.

• 基本的技能水平
• 4.5+
• 3.6K

Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.

• 基本的技能水平
• 4.6+
• 3.5K

Learn about the power of Microsoft Azure and cloud computing software to help you improve your data engineering skills.

• 中间的技能水平
• 4.4+
• 3.5K

Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.

• 基本的技能水平
• 4.8+
• 3.5K

Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.

• 中间的技能水平
• 4.5+
• 3.5K

This course introduces dbt for data modeling, transformations, testing, and building documentation.

• 基本的技能水平
• 4.6+
• 3.4K

Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.

• 基本的技能水平
• 4.6+
• 3.4K

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

• 基本的技能水平
• 4.6+
• 3.4K

Discover the different ways you can enhance your Power BI data importing skills.

• 基本的技能水平
• 4.5+
• 3.3K

Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.

• 基本的技能水平
• 4.7+
• 3.3K

Master Gemini and NotebookLM to automate tasks, boost productivity, and work smarter across Googles AI ecosystem.

• 中间的技能水平
• 4.6+
• 3.3K

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

• 中间的技能水平
• 4.7+
• 3.3K

Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.

• 基本的技能水平
• 4.7+
• 3.2K

You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.

• 基本的技能水平
• 4.6+
• 3.2K

Take your Tableau skills up a notch with advanced analytics and visualizations.

• 基本的技能水平
• 4.6+
• 3.2K

Learn the architecture behind GPT models and master advanced prompt crafting to unlock ChatGPTs full potential.

• 中间的技能水平
• 4.6+
• 3.1K

Learn how to analyze a SQL table and report insights to management.

• 中间的技能水平
• 4.6+
• 3.1K

Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.

• 基本的技能水平
• 4.5+
• 3.1K

Learn the key components of building a strong data culture within an organization.

• 中间的技能水平
• 4.7+
• 3.1K

Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!

• 中间的技能水平
• 4.7+
• 3.1K

Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.

• 中间的技能水平
• 4.4+
• 3.1K

Continue your data visualization journey where youll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.

• 基本的技能水平
• 4.7+
• 3.1K

Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.

• 先进的技能水平
• 4.6+
• 3K

Learn how to implement and schedule data engineering workflows.

• 中间的技能水平
• 4.5+
• 3K

Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

• 中间的技能水平
• 4.4+
• 3K

Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.

• 中间的技能水平
• 4.5+
• 2.9K

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.