数据、人工智能和云计算课程

• 基本的技能水平
• 4.4+
• 566

Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.

• 中间的技能水平
• 4.5+
• 565

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

• 中间的技能水平
• 4.7+
• 558

Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!

• 中间的技能水平
• 4.5+
• 552

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

• 基本的技能水平
• 4.6+
• 543

Master AI for marketing to plan smarter campaigns, create quality content, and build custom AI agents.

• 中间的技能水平
• 4.5+
• 543

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

• 中间的技能水平
• 4.6+
• 542

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

• 中间的技能水平
• 4.7+
• 536

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

• 先进的技能水平
• 4.6+
• 535

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

• 中间的技能水平
• 4.6+
• 535

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

• 基本的技能水平
• 4.7+
• 534

Supercharge your consulting workflows with AI! Research, analyze, and communicate more productively and effectively.

• 中间的技能水平
• 4.6+
• 534

In this course, students will learn to write queries that are both efficient and easy to read and understand.

• 先进的技能水平
• 4.7+
• 533

Learn about ARIMA models in Python and become an expert in time series analysis.

• 中间的技能水平
• 4.7+
• 532

Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.

• 基本的技能水平
• 4.5+
• 530

Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.

• 中间的技能水平
• 4.6+
• 528

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

• 先进的技能水平
• 4.4+
• 528

Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.

• 先进的技能水平
• 4.7+
• 527

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

• 基本的技能水平
• 4.5+
• 523

Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.

• 中间的技能水平
• 4.6+
• 522

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

• 基本的技能水平
• 4.7+
• 520

Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.

• 中间的技能水平
• 4.5+
• 511

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

• 中间的技能水平
• 4.6+
• 506

Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

• 基本的技能水平
• 4.6+
• 506

Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

• 中间的技能水平
• 4.5+
• 506

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

• 中间的技能水平
• 4.6+
• 502

Master SQL Server programming by learning to create, update, and execute functions and stored procedures.

• 基本的技能水平
• 4.6+
• 500

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

• 中间的技能水平
• 4.5+
• 500

In this course, youll learn how to import and manage financial data in Python using various tools and sources.

• 中间的技能水平
• 4.5+
• 495

Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.

• 中间的技能水平
• 4.4+
• 488

You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.