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Featuring 50 multiple-choice questions with unlimited attempts, this practice exam tests your ability to find the best classifier using Automated Machine Learning (AutoML) and train models in Jupyter Notebooks with MLflow. You'll evaluate models, tune hyperparameters, and track experiments to reinforce scalable machine learning practices in Azure environments. This practice exam is part of the preparation series for DP-100: Designing and Implementing a Data Science Solution on Azure.

Featuring 40 multiple-choice questions with unlimited attempts, this practice exam focuses on deploying machine learning models in Azure. You'll learn to deploy models to managed online endpoints for real-time inference and to batch endpoints for processing large volumes of data asynchronously. This practice exam is part of the preparation series for DP-100: Designing and Implementing a Data Science Solution on Azure.

Featuring 40 multiple-choice questions with unlimited attempts, this practice exam focuses on building AI-powered applications using the Azure AI Foundry. You'll learn how to build apps with the Azure AI Foundry SDK and create language model applications using prompt flow, enabling you to design, orchestrate, and deploy LLM-powered solutions in scalable cloud environments. This practice exam is part of the preparation series for DP-100: Designing and Implementing a Data Science Solution on Azure.

Start your journey into financial data science with a hands-on guide to Python, NumPy, and Pandas. This course covers the absolute essentials: from calculating compounded and annualized returns to cleaning and visualizing stock data.

Markets are driven by data—and analyzing that data requires the right tools. This course blends Excel, Python, and machine learning to help you explore financial datasets, uncover patterns, and test predictive strategies.

Text data reveals opinions and trends when analyzed effectively.

Excel is where many analysts begin—but automation with Python opens new possibilities. This course bridges the gap, showing how to transition workflows from spreadsheets to scalable code while maintaining clarity in analysis. Crafted by humans, supported by AI, and rigorously edited to ensure quality!

Bootcamp of the hottest topics including visualization, machine learning, Apache Spark, SQL, NLP, Matplotlib and more!