Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.7+
• 1.3K

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

• IntermediateSkill Level
• 4.6+
• 1.2K

Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

• IntermediateSkill Level
• 4.6+
• 1.2K

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

• IntermediateSkill Level
• 4.6+
• 1.2K

Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.

• IntermediateSkill Level
• 4.6+
• 1.2K

Create new features to improve the performance of your Machine Learning models.

• BasicSkill Level
• 4.5+
• 1.2K

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

• IntermediateSkill Level
• 4.4+
• 1.1K

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

• IntermediateSkill Level
• 4.6+
• 1K

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

• AdvancedSkill Level
• 4.5+
• 965

This course focuses on feature engineering and machine learning for time series data.

• AdvancedSkill Level
• 4.7+
• 914

Build your OOP skills with descriptors, multilevel inheritance, and abstract base classes!

• BasicSkill Level
• 4.6+
• 913

Create interactive data visualizations in Python using Plotly.

• IntermediateSkill Level
• 4.6+
• 896

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

• IntermediateSkill Level
• 4.7+
• 883

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

• IntermediateSkill Level
• 4.6+
• 867

Learn to start developing deep learning models with Keras.

• IntermediateSkill Level
• 4.6+
• 800

Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

• BasicSkill Level
• 4.5+
• 800

In this course youll learn to use and present logistic regression models for making predictions.

• IntermediateSkill Level
• 4.4+
• 781

Learn to create your own Python packages to make your code easier to use and share with others.

• IntermediateSkill Level
• 4.7+
• 752

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

• IntermediateSkill Level
• 4.6+
• 710

Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.

• IntermediateSkill Level
• 4.7+
• 707

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

• IntermediateSkill Level
• 4.6+
• 704

In this course, youll learn the basics of relational databases and how to interact with them.

• IntermediateSkill Level
• 4.5+
• 700

Build the foundation you need to think statistically and to speak the language of your data.

• AdvancedSkill Level
• 4.6+
• 678

Prepare for your next coding interviews in Python.

• IntermediateSkill Level
• 4.7+
• 677

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

• IntermediateSkill Level
• 4.6+
• 656

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

• BasicSkill Level
• 4.6+
• 636

Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.

• BasicSkill Level
• 4.6+
• 635

Using Python and NumPy, learn the most fundamental financial concepts.

• IntermediateSkill Level
• 4.7+
• 624

Use Seaborns sophisticated visualization tools to make beautiful, informative visualizations with ease.

• IntermediateSkill Level
• 4.7+
• 621

This course will show you how to integrate spatial data into your Python Data Science workflow.

• IntermediateSkill Level
• 4.4+
• 612

Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.