Students are introduced to the basics of the python-programming environment focusing on data manipulation, transformation, data cleaning, and data visualization. Students are introduced to the use of data for building statistical or machine learning models. Students explore the Python and Jupyter, computational environments for data scientists using Python. Students learn tools and libraries such as NumPy, Pandas, Matplotlib and Scikit-Learn to work on efficient storage and manipulation of dense data arrays, data visualization, and implementations of machine learning algorithms. Prerequisite: C or better in COMP 1110
Students are introduced to the basics of the python-programming environment focusing on data manipulation, transformation, data cleaning, and data visualization. Students are introduced to the use of data for building statistical or machine learning models. Students explore the Python and Jupyter, computational environments for data scientists using Python. Students learn tools and libraries such as NumPy, Pandas, Matplotlib and Scikit-Learn to work on efficient storage and manipulation of dense data arrays, data visualization, and implementations of machine learning algorithms. Prerequisite: C or better in COMP 1110
