Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.7+
• 482

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

• BasicSkill Level
• 4.6+
• 482

Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

• IntermediateSkill Level
• 4.5+
• 482

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

• IntermediateSkill Level
• 4.5+
• 481

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

• BasicSkill Level
• 4.6+
• 479

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

• AdvancedSkill Level
• 4.4+
• 478

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

• BasicSkill Level
• 4.5+
• 475

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

• IntermediateSkill Level
• 4.4+
• 471

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

• BasicSkill Level
• 4.5+
• 468

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.

• AdvancedSkill Level
• 4.4+
• 468

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

• IntermediateSkill Level
• 4.7+
• 462

Analyze text data in R using the tidy framework.

• IntermediateSkill Level
• 4.4+
• 462

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

• IntermediateSkill Level
• 4.6+
• 460

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

• IntermediateSkill Level
• 4.7+
• 456

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

• BasicSkill Level
• 4.7+
• 454

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

• BasicSkill Level
• 4.6+
• 447

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

• AdvancedSkill Level
• 4.4+
• 446

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

• AdvancedSkill Level
• 4.6+
• 444

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

• IntermediateSkill Level
• 4.7+
• 438

Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.

• AdvancedSkill Level
• 4.6+
• 434

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

• IntermediateSkill Level
• 4.6+
• 431

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

• IntermediateSkill Level
• 4.7+
• 429

Create multi-modal systems using OpenAIs text and audio models, including an end-to-end customer support chatbot!

• IntermediateSkill Level
• 4.9+
• 428

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

• AdvancedSkill Level
• 4.7+
• 427

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

• IntermediateSkill Level
• 4.6+
• 423

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

• BasicSkill Level
• 4.5+
• 419

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

• IntermediateSkill Level
• 4.6+
• 417

Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.

• BasicSkill Level
• 4.5+
• 413

Learn how computers work, design efficient algorithms, and explore computational theory to solve real-world problems.

• AdvancedSkill Level
• 4.7+
• 412

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

• IntermediateSkill Level
• 4.5+
• 411

Visualize seasonality, trends and other patterns in your time series data.