This course is intended to provide an introduction into the field of Data Science. Students will develop skills in appropriate technology and basic statistical methods by completing hands-on projects focused on real-world data and addresses the social consequences of data analysis and application.
After completing this course, you will be able to:
Additional optional learning objectives:
Your final grade will be based on the following breakdown. Please note that each instructor may choose to make modifications.
In this course you will be using Python programing language. You will need to download Anaconda and Jupyter Notebook in order to use this program. There is more information about this in Unit 1 of the course.
We also recommend (not require) the use of a TI-83 calculator in this course. There are several online options (TI emulators) available for download (with free trial) if you do not have an actual calculator.