Explore Azure Machine Learning Studio, a powerful cloud-based graphical data science tool, in this comprehensive 1-hour 23-minute tutorial. Learn to upload, analyze, visualize, manipulate, and clean data using the intuitive interface. Dive into key concepts such as experiments, notebooks, and workspaces. Master data preprocessing techniques, including handling categorical values, normalization, and data mining. Discover how to create and manage experiments, work with various data formats, and perform ingress and egress operations. Gain insights into data visualization, descriptive statistics, and summary statistics. Explore methods for cleaning missing data, data scrubbing, and handling categorical and numerical data. Develop skills in regression, predictive modeling, and working with categorical variables. By the end of this tutorial, acquire the knowledge to effectively utilize Azure ML for various data science tasks and cloud computing applications.