Data Science and Machine Learning 2

The power of data science and machine learning can change the world. From voice activation to video game programming to advancements in medical science - the possibilities for activation are endless. Through this advanced course, students will leverage their foundational knowledge of Python to develop a more sophisticated programming skill set. Further, students will use a variety of mathematical techniques (statistics, linear algebra, and probability) to analyze data and create impactful visualizations. By course completion, students will become well-versed in a range of strategies and techniques in both data science and machine learning and become data-driven decision makers. Further, students will be able to apply communication skills and fairness frameworks to identified solutions, making them invaluable assets to any future data science/machine learning classroom, or future employer. 

Note: This course is for students with prior programming experience (in particular, Python) and/or previous coursework in Data Science and Machine Learning. Further, some background in statistics and linear algebra is helpful. Students with little-to-no prior experience in these areas should explore our Data Science and Machine Learning I course.