5.0
(356 reviews)
Intermediate Data Analysis and Machine Learning
In this course, students learn how to explore and understand data just like real scientists. They collect information, organize it, and make charts to discover patterns and trends. Students also begin learning how machines can “learn” from data by training simple models to sort things, recognize patterns, or make predictions.
Get familiar with intermediate data tools and ML features, learning how to explore datasets and work with beginner-friendly machine learning interfaces.
Apply data analysis and machine learning concepts through interactive activities that teach how to explore, sort, and learn from data.
Learn different data and ML activities like organizing datasets, creating charts, training simple models, making predictions, and exploring patterns.
Begin transitioning to Python for deeper data analysis and ML skills, using code to explore datasets, train models, and make predictions.
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