Курсы по данным, искусственному интеллекту и облачным технологиям

• ПередовойУровень мастерства
• 4.4+
• 457

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

• ПередовойУровень мастерства
• 4.6+
• 453

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

• ПередовойУровень мастерства
• 4.5+
• 450

Create more accurate and reliable RAG systems with Graph RAG and hybrid RAG.

• ПередовойУровень мастерства
• 4.6+
• 445

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

• ПередовойУровень мастерства
• 4.5+
• 443

Learn how to work with streaming data using serverless technologies on AWS.

• ПередовойУровень мастерства
• 4.6+
• 433

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

• ПередовойУровень мастерства
• 4.4+
• 433

In this course you will learn to fit hierarchical models with random effects.

• ПередовойУровень мастерства
• 4.3+
• 433

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

• ПередовойУровень мастерства
• 4.4+
• 387

Master Databricks with Python: learn to authenticate, manage clusters, automate jobs, and query AI models programmatically.

• ПередовойУровень мастерства
• 4.8+
• 365

Learn how to approach and win competitions on Kaggle.

• ПередовойУровень мастерства
• 4.7+
• 356

This course covers everything you need to know to build a basic machine learning monitoring system in Python

• ПередовойУровень мастерства
• 4.6+
• 330

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

• ПередовойУровень мастерства
• 4.4+
• 325

Learn to build pipelines that stand the test of time.

• ПередовойУровень мастерства
• 4.8+
• 318

Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.

• ПередовойУровень мастерства
• 4.7+
• 314

Learn how to write recursive queries and query hierarchical data structures.

• ПередовойУровень мастерства
• 4.8+
• 311

Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.

• ПередовойУровень мастерства
• 4.8+
• 309

Learn how to load, transform, and transcribe speech from raw audio files in Python.

• ПередовойУровень мастерства
• 4.4+
• 309

Build AI agentic workflows that can plan, search, remember, and collaborate, using LlamaIndex.

• ПередовойУровень мастерства
• 4.6+
• 308

Connect Java to PostgreSQL with JDBC. Write secure queries, manage transactions, and handle large datasets efficiently.

• ПередовойУровень мастерства
• 4.5+
• 308

In this course youll learn techniques for performing statistical inference on numerical data.

• ПередовойУровень мастерства
• 4.4+
• 297

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

• ПередовойУровень мастерства
• 4.4+
• 294

In this course youll learn how to leverage statistical techniques for working with categorical data.

• ПередовойУровень мастерства
• 4.1+
• 294

Learn to analyze Airbnb data using SQL in Databricks, create dashboards, and derive actionable insights.

• ПередовойУровень мастерства
• 4.6+
• 290

Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.

• ПередовойУровень мастерства
• 4.6+
• 278

Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

• ПередовойУровень мастерства
• 4.5+
• 277

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

• ПередовойУровень мастерства
• 4.6+
• 267

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

• ПередовойУровень мастерства
• 4.3+
• 260

In this course youll learn how to perform inference using linear models.

• ПередовойУровень мастерства
• 4.7+
• 259

Learn how to write effective tests in Java using JUnit and Mockito to build robust, reliable applications with confidence.

• ПередовойУровень мастерства
• 4.6+
• 243

Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.