BMIS 2542 - DATA PROGRAMMING ESSENTIALS WITH PYTHON
Minimum Credits: 3
Maximum Credits: 3
This course introduced basic data science concepts behind turning data into actionable insights and knowledge. In addition, the course will emphasize the development of necessary programming skills needed for doing data science. Students will learn and use the Python programming language along with a focus on learning applied statistical inference, machine learning, data visualization, text analysis, and social network analysis techniques. The course takes a hands-on approach and no prior programming experience is expected. This is a required course for students interested in pursuing the Katz Data Science specialization. Follow on courses include Practical Data Science (BMIS 2526) and Advanced Topics in Data Science (BMIS 2543)
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis
Click here for class schedule information.
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