Data, AI, and Cloud Courses

• BasicSkill Level
• 4.7+
• 484

Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.

• BasicSkill Level
• 4.6+
• 484

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+
• 481

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

• IntermediateSkill Level
• 4.5+
• 478

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

• BasicSkill Level
• 4.5+
• 475

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

• IntermediateSkill Level
• 4.6+
• 474

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

• IntermediateSkill Level
• 4.4+
• 473

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

• BasicSkill Level
• 4.6+
• 472

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

• AdvancedSkill Level
• 4.4+
• 471

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

• AdvancedSkill Level
• 4.4+
• 466

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

• BasicSkill Level
• 4.7+
• 465

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

• IntermediateSkill Level
• 4.5+
• 465

In this course, youll learn how to import and manage financial data in Python using various tools and sources.

• IntermediateSkill Level
• 4.7+
• 462

Analyze text data in R using the tidy framework.

• IntermediateSkill Level
• 4.7+
• 455

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
• 4.5+
• 453

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+
• 450

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

• BasicSkill Level
• 4.6+
• 445

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

• AdvancedSkill Level
• 4.6+
• 440

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
• 4.6+
• 438

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

• IntermediateSkill Level
• 4.6+
• 437

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

• AdvancedSkill Level
• 4.6+
• 434

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

• IntermediateSkill Level
• 4.7+
• 432

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

• AdvancedSkill Level
• 4.7+
• 426

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

• IntermediateSkill Level
• 4.7+
• 425

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

• IntermediateSkill Level
• 4.7+
• 424

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

• BasicSkill Level
• 4.5+
• 424

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

• IntermediateSkill Level
• 4.9+
• 421

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+
• 418

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

• BasicSkill Level
• 4.5+
• 416

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

• AdvancedSkill Level
• 4.6+
• 415

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