Data, AI, and Cloud Courses

• BasicSkill Level
• 4.3+
• 514

Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.

• BasicSkill Level
• 4.7+
• 513

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

• IntermediateSkill Level
• 4.5+
• 509

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

• BasicSkill Level
• 4.6+
• 508

Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

• BasicSkill Level
• 4.5+
• 508

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

• AdvancedSkill Level
• 4.5+
• 507

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

• IntermediateSkill Level
• 4.7+
• 490

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+
• 488

Boost your coding with Windsurf, the AI-powered IDE that helps you build, debug, and deploy faster.

• IntermediateSkill Level
• 4.6+
• 487

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
• 4.5+
• 485

Learn to design and run your own Monte Carlo simulations using Python!

• AdvancedSkill Level
• 4.4+
• 482

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

• AdvancedSkill Level
• 4.4+
• 478

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

• IntermediateSkill Level
• 4.2+
• 478

Analyze text data in R using the tidy framework.

• IntermediateSkill Level
• 4.6+
• 474

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

• BasicSkill Level
• 4.3+
• 471

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

• IntermediateSkill Level
• 4.3+
• 471

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

• IntermediateSkill Level
• 4.5+
• 468

Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.

• IntermediateSkill Level
• 4.5+
• 467

Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!

• BasicSkill Level
• 4.8+
• 466

Apply AI in finance to analyze data, prompt effectively, and automate workflows for better decisions.

• IntermediateSkill Level
• 4.4+
• 466

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

• IntermediateSkill Level
• 4.3+
• 463

Leverage the power of Python and PuLP to optimize supply chains.

• IntermediateSkill Level
• 4.6+
• 462

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

• AdvancedSkill Level
• 4.7+
• 456

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

• AdvancedSkill Level
• 4.6+
• 456

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

• IntermediateSkill Level
• 4.6+
• 455

Discover how to use the income statement and balance sheet in Power BI

• IntermediateSkill Level
• 4.5+
• 451

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
• 4.5+
• 447

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

• IntermediateSkill Level
• 4.5+
• 447

Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.

• IntermediateSkill Level
• 4.5+
• 445

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

• IntermediateSkill Level
• 4.3+
• 445

In this course youll learn about basic experimental design, a crucial part of any data analysis.