DATA2001 Data Science Tools & Techniques

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CRS Acad Level: UG

Course #: DATA2001

Credits: 3

About the Course:

This course is an overview of Data Science – the science of iterative exploration of data that can be used to gain insights and optimize business decisions. The course introduces the foundational topics in Data Science, including introduction to Data Manipulation, Data Analysis with Statistics and Machine Learning, Data Communication and Visualization, as well as Scalability and Working with Big Data. Students will gain exposure to open source statistical tools that are quickly gaining in popularity and understand how to use them to extract, clean and explore datasets. Students will also use visualization tools similar to those used in industry. Students will also understand and get experience with secondary tools, required for Data Science projects, including using terminal access command line and versioning control. Prerequisites: MATH2200 or MATH2101 or CPTR1100.