Data Science with Azure: Build & Deploy ML Models

Are you looking to enter the dynamic field of data science and build practical machine learning applications? This course provides a clear, text-based pathway to understanding the core principles and applying them in a cloud environment. By completing this program, you will gain the essential knowledge and hands-on skills to navigate the data science workflow, from data preparation and model training to robust deployment. You will be equipped to tackle real-world problems using scalable cloud-based machine learning services. What you'll learn: Understand core data science concepts, statistical methods, and machine learning algorithms. Prepare and preprocess data for machine learning using common techniques. Build, train, and evaluate various machine learning models. Leverage Azure Machine Learning services for cloud-based model development and management. Implement basic MLOps practices for reliable model deployment and monitoring. Containerize machine learning models for efficient deployment. Apply your knowledge to solve practical data challenges and interpret model results. The course begins with foundational data science terminology and concepts, gradually progressing to practical data handling, model building, and deployment strategies. You will read explanations and follow step-by-step instructions to apply these techniques. This course is designed for absolute beginners with no prior experience in data science or cloud computing. No prerequisites are required. Start your journey into cloud-powered data science today.