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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.
Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.
Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.
Discover how to become a data defender and keep data safe and secure with this beginner-friendly interactive course.
Learn about string manipulation and become a master at using regular expressions.
Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.
Create visualizations and dynamic dashboards with Databricks, turning raw data into clear and actionable insights.
Learn to start developing deep learning models with Keras.
Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.
Get your AI Act together! Understand the obligations, risks, and requirements of the EU AI Act.
Create new features to improve the performance of your Machine Learning models.
Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.
Take your R skills up a notch by learning to write efficient, reusable functions.
Master the key concepts of data management, from life cycle stages to security and governance.
Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.
In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.
Build your OOP skills with descriptors, multilevel inheritance, and abstract base classes!
What makes LLMs tick? Discover how transformers revolutionized text modeling and kickstarted the generative AI boom.
Master sampling to get more accurate statistics with less data.
Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.
Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.
Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.
Learn AI governance with Collibra. Build, embed, and scale responsible AI using tools, frameworks, and MLOps workflows.
Learn to create your own Python packages to make your code easier to use and share with others.
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.
Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.
Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.
Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.
Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!
Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.