This introductory computer science course in machine learning will cover basic theory, algorithms, and applications. Machine learning is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. It enables computational systems to automatically learn how to perform a desired task based on information extracted from the data. Machine learning has become one of the hottest fields of study today and the demand for jobs is only expected to increase. Gaining skills in this field will get you one step closer to becoming a data scientist or quantitative analyst.
With a gentle learning curve, Python is readable, writeable, and endlessly powerful. Its simplicity lets you become productive quickly. This Learning Path provides a solid introduction to Python, and then teaches you about algorithms, data modeling, data structures, and other tools that make Python the ideal choice for working with data.
This is a hands-on basic course about data analytics and KNIME, and is designed for learners with little experience in data analytics or in programming. Taught by 24 year data analytics veteran Dr. Rosaria Silipo, it covers everything a beginning data analyst needs to know. You'll learn about importing data from common data sources and how to investigate data using visual exploration, ETL, data blending, and some machine learning algorithms.