数据、人工智能和云计算课程

• 中间的技能水平
• 4.7+
• 487

Learn to manipulate and analyze flexibly structured data with MongoDB.

• 先进的技能水平
• 4.5+
• 486

Learn how to design, automate, and monitor scalable forecasting pipelines in Python.

• 中间的技能水平
• 4.6+
• 483

Learn how to detect fraud using Python.

• 中间的技能水平
• 4.7+
• 479

Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

• 先进的技能水平
• 4.6+
• 478

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

• 中间的技能水平
• 4.5+
• 478

Explore ways to work with date and time data in SQL Server for time series analysis

• 中间的技能水平
• 4.4+
• 477

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

• 先进的技能水平
• 4.6+
• 476

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

• 先进的技能水平
• 4.3+
• 474

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

• 中间的技能水平
• 4.6+
• 473

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

• 中间的技能水平
• 4.7+
• 471

Analyze text data in R using the tidy framework.

• 基本的技能水平
• 4.5+
• 468

Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.

• 基本的技能水平
• 4.6+
• 463

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

• 基本的技能水平
• 4.8+
• 448

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

• 中间的技能水平
• 4.6+
• 448

Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.

• 中间的技能水平
• 4.6+
• 447

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

• 中间的技能水平
• 4.5+
• 446

Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.

• 中间的技能水平
• 4.7+
• 444

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

• 中间的技能水平
• 4.5+
• 439

Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

• 先进的技能水平
• 4.6+
• 437

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

• 先进的技能水平
• 4.3+
• 436

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

• 基本的技能水平
• 4.6+
• 435

Master Microsoft Copilot in Word to write faster, understand documents instantly, and collaborate more effectively.

• 先进的技能水平
• 4.7+
• 427

Learn how to approach and win competitions on Kaggle.

• 先进的技能水平
• 4.7+
• 427

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

• 基本的技能水平
• 4.8+
• 426

Learn key financial concepts such as capital investment, WACC, and shareholder value.

• 中间的技能水平
• 4.7+
• 422

Learn the essentials of parsing, manipulating and computing with dates and times in R.

• 中间的技能水平
• 4.6+
• 421

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

• 基本的技能水平
• 4.5+
• 421

In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

• 先进的技能水平
• 4.6+
• 418

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

• 中间的技能水平
• 4.3+
• 415

Learn how to efficiently collect and download data from any website using R.