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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.
Take your R skills up a notch by learning to write efficient, reusable functions.
What makes LLMs tick? Discover how transformers revolutionized text modeling and kickstarted the generative AI boom.
Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.
Master GitHub Copilot to understand, write, and refine code with context, customization, and smart features.
Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.
Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.
Learn about string manipulation and become a master at using regular expressions.
Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.
Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery
Build a customer-support assistant step-by-step with Google’s Agent Development Kit (ADK).
In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.
Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.
Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!
Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.
Master AWS security, governance, and cost optimization to prepare for the Cloud Practitioner certification.
Transform almost any dataset into a tidy format to make analysis easier.
In this four-hour course, you’ll learn the basics of analyzing time series data in Python.
This course focuses on feature engineering and machine learning for time series data.
Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.
Master sampling to get more accurate statistics with less data.
Get your AI Act together! Understand the obligations, risks, and requirements of the EU AI Act.
Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.
Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.
Create interactive data visualizations in Python using Plotly.
In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.
Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.
Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.
Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.
Learn to perform linear and logistic regression with multiple explanatory variables.