数据、人工智能和云计算课程

• 中间的技能水平
• 4.3+
• 1.7K

Learn Databricks SQL for data engineering, analytics, and real-time data workflows in the lakehouse architecture.

• 中间的技能水平
• 4.5+
• 1.7K

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

• 中间的技能水平
• 4.6+
• 1.7K

Build production-ready code with Cursor. Learn AI prompts, refactoring, testing, and advanced workflows.

• 中间的技能水平
• 4.6+
• 1.6K

Get to grips with the foundational components of LangChain agents and build custom chat agents.

• 中间的技能水平
• 4.7+
• 1.6K

Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.

• 中间的技能水平
• 4.6+
• 1.6K

Boost your coding with AI—guide your coding assistant to write, test, and document code effectively.

• 中间的技能水平
• 4.6+
• 1.6K

In this course youll learn the basics of working with time series data.

• 中间的技能水平
• 4.7+
• 1.6K

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

• 中间的技能水平
• 4.6+
• 1.5K

Learn how to manipulate and visualize categorical data using pandas and seaborn.

• 中间的技能水平
• 4.6+
• 1.5K

Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

• 中间的技能水平
• 4.7+
• 1.5K

Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.

• 中间的技能水平
• 4.7+
• 1.4K

Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

• 中间的技能水平
• 4.6+
• 1.4K

Discover how the Pinecone vector database is revolutionizing AI application development!

• 中间的技能水平
• 4.7+
• 1.4K

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

• 中间的技能水平
• 4.5+
• 1.4K

In this course you will learn the details of linear classifiers like logistic regression and SVM.

• 中间的技能水平
• 4.7+
• 1.4K

Master GitHub Copilot to understand, write, and refine code with context, customization, and smart features.

• 中间的技能水平
• 4.4+
• 1.3K

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

• 中间的技能水平
• 4.6+
• 1.3K

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

• 中间的技能水平
• 4.5+
• 1.3K

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

• 中间的技能水平
• 4.5+
• 1.3K

Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!

• 中间的技能水平
• 4.5+
• 1.2K

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

• 中间的技能水平
• 4.5+
• 1.2K

Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.

• 中间的技能水平
• 4.5+
• 1.2K

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

• 中间的技能水平
• 4.6+
• 1.2K

Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

• 中间的技能水平
• 4.6+
• 1.2K

Build a customer-support assistant step-by-step with Google’s Agent Development Kit (ADK).

• 中间的技能水平
• 4.5+
• 1.2K

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

• 中间的技能水平
• 4.7+
• 1.2K

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

• 中间的技能水平
• 4.6+
• 1.2K

Learn to build AI applications using Snowflake Cortexs built-in LLM functions for text analysis, generation, and multi-step workflows.

• 中间的技能水平
• 4.5+
• 1.2K

Build and deploy scalable web apps and serverless functions in Azure while mastering security, monitoring, and automation.

• 中间的技能水平
• 4.7+
• 1.2K

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.