Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.7+
• 484

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

• IntermediateSkill Level
• 4.6+
• 483

Learn how to detect fraud using Python.

• BasicSkill Level
• 4.7+
• 481

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

• IntermediateSkill Level
• 4.7+
• 479

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

• IntermediateSkill Level
• 4.4+
• 479

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

• BasicSkill Level
• 4.5+
• 478

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

• AdvancedSkill Level
• 4.4+
• 475

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

• IntermediateSkill Level
• 4.6+
• 472

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

• AdvancedSkill Level
• 4.4+
• 465

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

• AdvancedSkill Level
• 4.5+
• 462

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

• BasicSkill Level
• 4.6+
• 458

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

• BasicSkill Level
• 4.4+
• 458

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

• AdvancedSkill Level
• 4.7+
• 454

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

• AdvancedSkill Level
• 4.3+
• 454

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

• IntermediateSkill Level
• 4.7+
• 453

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

• IntermediateSkill Level
• 4.7+
• 450

Analyze text data in R using the tidy framework.

• BasicSkill Level
• 4.6+
• 450

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

• IntermediateSkill Level
• 4.5+
• 447

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

• IntermediateSkill Level
• 4.6+
• 440

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

• IntermediateSkill Level
• 4.6+
• 440

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

• AdvancedSkill Level
• 4.4+
• 437

Learn to build pipelines that stand the test of time.

• AdvancedSkill Level
• 4.7+
• 435

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

• BasicSkill Level
• 4.5+
• 426

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
• 4.7+
• 425

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

• AdvancedSkill Level
• 4.6+
• 424

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

• IntermediateSkill Level
• 4.7+
• 423

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

• IntermediateSkill Level
• 4.6+
• 420

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

• IntermediateSkill Level
• 4.9+
• 417

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

• IntermediateSkill Level
• 4.7+
• 417

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

• AdvancedSkill Level
• 4.7+
• 417

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