数据、人工智能和云计算课程

• 中间的技能水平
• 4.4+
• 1.1K

Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

• 中间的技能水平
• 4.7+
• 1.1K

In this course you will learn the basics of machine learning for classification.

• 中间的技能水平
• 4.4+
• 1.1K

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

• 基本的技能水平
• 4.7+
• 1K

Learn vibe coding with Replit. Build apps like a Typeform clone, and master securing and deploying Replit apps.

• 基本的技能水平
• 4.7+
• 1K

Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.

• 中间的技能水平
• 4.4+
• 1K

Learn to perform linear and logistic regression with multiple explanatory variables.

• 中间的技能水平
• 4.3+
• 1K

Transform almost any dataset into a tidy format to make analysis easier.

• 基本的技能水平
• 4.6+
• 979

Learn how to use GPT tools responsibly and confidently. Discover how these tools work and techniques for writing prompts and evaluating outputs.

• 中间的技能水平
• 4.7+
• 978

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

• 先进的技能水平
• 4.5+
• 963

This course focuses on feature engineering and machine learning for time series data.

• 先进的技能水平
• 4.7+
• 957

Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

• 先进的技能水平
• 4.6+
• 943

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

• 中间的技能水平
• 4.6+
• 935

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

• 基本的技能水平
• 4.7+
• 931

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

• 基本的技能水平
• 4.6+
• 927

Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.

• 基本的技能水平
• 4.7+
• 921

Discover how Marketing Analysts use data to understand customers and drive business growth.

• 基本的技能水平
• 4.4+
• 921

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

• 基本的技能水平
• 4.7+
• 910

Apply AI in finance to analyze data, prompt effectively, and automate workflows for better decisions.

• 基本的技能水平
• 4.4+
• 903

Learn data management in Databricks with Delta Lake, including ACID transactions, schema enforcement, and security.

• 基本的技能水平
• 4.6+
• 900

Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.

• 中间的技能水平
• 4.6+
• 899

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

• 中间的技能水平
• 4.6+
• 890

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

• 先进的技能水平
• 4.7+
• 889

Build your OOP skills with descriptors, multilevel inheritance, and abstract base classes!

• 中间的技能水平
• 4.4+
• 889

Master sampling to get more accurate statistics with less data.

• 先进的技能水平
• 4.7+
• 868

Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.

• 基本的技能水平
• 4.5+
• 856

Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.

• 基本的技能水平
• 4.6+
• 853

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.

• 先进的技能水平
• 4.5+
• 848

Learn how to clean data with Apache Spark in Python.

• 基本的技能水平
• 4.4+
• 848

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

• 基本的技能水平
• 4.6+
• 847

Create interactive data visualizations in Python using Plotly.