Course DescriptionThis course is an introduction to Python, analysing and exploring data and doing machine learning with Python. Topics cover basics in Python programming language as well as visualization and exploratory data analysis in Python. Python libraries such as NumPy, Pandas, Matplotlib and Seaborn which are essential for data science will be introduced
The deadline to enroll in CIND830 for Spring term is May 2, 2022.
The deadline to enroll in CIND830 for Summer term is June 21, 2022.
Students will also not be allowed to swap between sections of the Data Analytics courses after the above dates.
You must download the Microsoft Remote Desktop in order to access the software needed to complete the requirements for this course. Prior to your first class, you are strongly advised to test the computer you plan to use, as machines operated using a third-party administrator (such as laptops provided by a workplace) may not allow access to the required software/download(s).
International students should use their own virtual private network (VPN) software to connect to University resources.
- Data Analytics, Big Data, and Predictive Analytics : Required Courses